Business
BigBear.ai Announces Second Quarter 2025 Results; Updates Financial Outlook
BigBear.ai Holdings, Inc. (NYSE: BBAI) (“ BigBear.ai ” or the “ Company ”), a leader in AI-powered decision intelligence solutions, today announced financial results for the second quarter of 2025 and issued an investor presentation that has been posted to the Investor Relations section of the Company’s website.
“Our robust balance sheet allows us to make significant transformational investments to shape the future of BigBear.ai. Our capital raising activities this quarter coincide with the tremendous opportunities we see coming from the One Big Beautiful Bill, particularly in the Department of Homeland Security, and several of which are uniquely aligned to our core capabilities. This legislation will bring a generational investment and provides over $170 billion in supplemental funding to the Department of Homeland Security, and $150 billion to the Department of Defense for disruptive defense technology. This is not incremental funding for innovation – this is a transformative level of investment. As a Mission Ready AI company with a national and border security focus, it’s directly in our lane,” said Kevin McAleenan, CEO of BigBear.ai.
“Beyond the opportunities that we’re pursuing in the U.S., this quarter, we signed a transformative partnership with leading companies in the UAE under the IHC umbrella focused on accelerating the development and adoption of AI across several domains and applications. This is just the beginning of our international expansion and demonstrates the need for BigBear.ai’s technology and solutions across the globe,” he continued.
“While we are very optimistic with these significant investments and growth opportunities, we have also seen disruptions in federal contracts from efficiency efforts this quarter, most notably in programs that support the U.S. Army, as they seek to consolidate and modernize their data architecture and in turn, we have adjusted our full-year guidance this quarter to reflect these disruptions,” he concluded.
“Our record cash balance will enable us to make significant investments, both organically and inorganically, in an order of magnitude that was not possible before,” said Sean Ricker, CFO of BigBear.ai.
Financial Highlights
- Revenue decreased 18% to $32.5 million for the second quarter of 2025, compared to $39.8 million for the second quarter of 2024 primarily due to lower volume on certain Army programs.
- Gross margin was 25.0% in the second quarter of 2025, compared to 27.8% in the second quarter of 2024.
- Net loss in the second quarter of 2025 was $228.6 million, compared to a net loss of $14.4 million for the second quarter of 2024. The increase in net loss was primarily driven by non-cash changes in derivative liabilities of $135.8 million associated with changes in the fair value of the convertible features of the 2029 Notes and warrants, as well as a non-cash goodwill impairment charge of $70.6 million.
- Non-GAAP Adjusted EBITDA* of $(8.5) million for the second quarter of 2025 compared to $(3.7) million for the second quarter of 2024, primarily driven by decreased gross margin as well as an increase in research and development expenses.
- SG&A of $21.5 million for the second quarter of 2025 compared to $23.4 million for the second quarter of 2024. The year-over-year decrease was primarily driven by lower legal expenses ($1.7 million), and lower bonus expense ($1.1 million).
- Backlog of $380 million as of June 30, 2025.
Financial Outlook
For the year-ended December 31, 2025, the Company now projects:
- Revenue between $125 million and $140 million
Due to uncertainty on certain Army programs as well as new anticipated growth investment spending in the second half of the year, at this time, the Company is withdrawing its previously provided Adjusted EBITDA guidance for the year-ended December 31, 2025. The Company expects to provide updated Adjusted EBITDA guidance at a later date. The above information on financial outlook, and other sections of this release contain forward-looking statements, which are based on the Company’s current expectations. Actual results may differ materially from those projected. It is the Company’s practice not to incorporate adjustments into its financial outlook for proposed acquisitions, divestitures, changes in law, or new accounting standards until such items have been consummated, enacted, or adopted, as the case may be. For additional factors that may impact the Company’s actual results, refer to the “Forward-Looking Statements” section in this release.
|
*EBITDA, Adjusted EBITDA, and Adjusted EBITDA Margin are non-GAAP financial measures. See the “Non-GAAP Financial Measures” section in this press release for additional information and reconciliations. |
|
Summary of Results for the Second Quarter Ended |
|||||||||||||||
|
June 30, 2025 and June 30, 2024 |
|||||||||||||||
|
(Unaudited) |
|||||||||||||||
|
|
|||||||||||||||
|
|
Three Months Ended |
|
Six Months Ended |
||||||||||||
|
$ thousands (expect per share amounts) |
|
2025 |
|
|
|
2024 |
|
|
|
2025 |
|
|
|
2024 |
|
|
Revenues |
$ |
32,472 |
|
|
$ |
39,783 |
|
|
$ |
67,229 |
|
|
$ |
72,904 |
|
|
Cost of revenues |
|
24,359 |
|
|
|
28,720 |
|
|
|
51,728 |
|
|
|
54,855 |
|
|
Gross margin |
|
8,113 |
|
|
|
11,063 |
|
|
|
15,501 |
|
|
|
18,049 |
|
|
Operating expenses: |
|
|
|
|
|
|
|
||||||||
|
Selling, general and administrative |
|
21,487 |
|
|
|
23,364 |
|
|
|
44,219 |
|
|
|
40,312 |
|
|
Research and development |
|
4,393 |
|
|
|
3,565 |
|
|
|
8,559 |
|
|
|
4,709 |
|
|
Restructuring charges |
|
1,899 |
|
|
|
457 |
|
|
|
3,597 |
|
|
|
1,317 |
|
|
Transaction expenses |
|
— |
|
|
|
347 |
|
|
|
— |
|
|
|
1,450 |
|
|
Goodwill impairment |
|
70,636 |
|
|
|
— |
|
|
|
70,636 |
|
|
|
85,000 |
|
|
Operating loss |
|
(90,302 |
) |
|
|
(16,670 |
) |
|
|
(111,510 |
) |
|
|
(114,739 |
) |
|
Interest expense |
|
4,419 |
|
|
|
6,452 |
|
|
|
9,535 |
|
|
|
12,837 |
|
|
Net increase (decrease) in fair value of derivatives |
|
135,751 |
|
|
|
(8,081 |
) |
|
|
169,087 |
|
|
|
15,726 |
|
|
Loss on extinguishment of debt |
|
— |
|
|
|
— |
|
|
|
2,577 |
|
|
|
— |
|
|
Other income, net |
|
(1,867 |
) |
|
|
(617 |
) |
|
|
(2,143 |
) |
|
|
(1,072 |
) |
|
Loss before taxes |
|
(228,605 |
) |
|
|
(14,424 |
) |
|
|
(290,566 |
) |
|
|
(142,230 |
) |
|
Income tax expense |
|
14 |
|
|
|
15 |
|
|
|
39 |
|
|
|
1 |
|
|
Net loss |
$ |
(228,619 |
) |
|
$ |
(14,439 |
) |
|
$ |
(290,605 |
) |
|
$ |
(142,231 |
) |
|
|
|
|
|
|
|
|
|
||||||||
|
Basic and diluted net loss per share |
$ |
(0.71 |
) |
|
$ |
(0.06 |
) |
|
$ |
(0.97 |
) |
|
$ |
(0.66 |
) |
|
|
|
|
|
|
|
|
|
||||||||
|
Weighted-average shares outstanding: |
|
|
|
|
|
|
|
||||||||
|
Basic |
|
320,591,204 |
|
|
|
246,303,139 |
|
|
|
299,666,133 |
|
|
|
216,754,082 |
|
|
Diluted |
|
320,591,204 |
|
|
|
246,303,139 |
|
|
|
299,666,133 |
|
|
|
216,754,082 |
|
|
Consolidated Balance Sheets as of |
|||||||
|
June 30, 2025 and December 31, 2024 |
|||||||
|
(Unaudited) |
|||||||
|
|
|
|
|
||||
|
$ in thousands (except per share amounts) |
June 30, |
|
December 31, |
||||
|
Assets |
|
|
|
||||
|
Current assets: |
|
|
|
||||
|
Cash and cash equivalents |
$ |
390,845 |
|
|
$ |
50,141 |
|
|
Accounts receivable, less allowance for credit losses |
|
28,342 |
|
|
|
38,953 |
|
|
Contract assets |
|
701 |
|
|
|
895 |
|
|
Prepaid expenses and other current assets |
|
4,395 |
|
|
|
3,768 |
|
|
Total current assets |
|
424,283 |
|
|
|
93,757 |
|
|
Non-current assets: |
|
|
|
||||
|
Property and equipment, net |
|
1,425 |
|
|
|
1,566 |
|
|
Goodwill |
|
48,446 |
|
|
|
119,081 |
|
|
Intangible assets, net |
|
115,621 |
|
|
|
119,119 |
|
|
Right-of-use assets |
|
8,639 |
|
|
|
9,263 |
|
|
Other non-current assets |
|
958 |
|
|
|
990 |
|
|
Total assets |
$ |
599,372 |
|
|
$ |
343,776 |
|
|
|
|
|
|
||||
|
Liabilities and stockholders’ equity (deficit) |
|
|
|
||||
|
Current liabilities: |
|
|
|
||||
|
Accounts payable |
$ |
3,440 |
|
|
$ |
8,455 |
|
|
Short-term debt, including current portion of long-term debt |
|
367 |
|
|
|
818 |
|
|
Accrued liabilities |
|
16,555 |
|
|
|
19,496 |
|
|
Contract liabilities |
|
4,466 |
|
|
|
2,541 |
|
|
Current portion of long-term lease liability |
|
1,096 |
|
|
|
1,068 |
|
|
Derivative liabilities |
|
193,199 |
|
|
|
170,515 |
|
|
Other current liabilities |
|
2,522 |
|
|
|
73 |
|
|
Total current liabilities |
|
221,645 |
|
|
|
202,966 |
|
|
Non-current liabilities: |
|
|
|
||||
|
Long-term debt, net |
|
102,683 |
|
|
|
135,404 |
|
|
Long-term lease liability |
|
8,494 |
|
|
|
9,120 |
|
|
Total liabilities |
|
332,822 |
|
|
|
347,490 |
|
|
Stockholders’ equity (deficit) |
|
|
|
||||
|
Common stock, par value $0.0001; 500,000,000 shares authorized and 369,171,608 shares issued and outstanding at June 30, 2025 and 251,554,378 shares issued and outstanding at December 31, 2024 |
|
39 |
|
|
|
26 |
|
|
Additional paid-in capital |
|
1,186,256 |
|
|
|
625,130 |
|
|
Treasury stock, at cost 9,952,803 shares at June 30, 2025 and December 31, 2024 |
|
(57,350 |
) |
|
|
(57,350 |
) |
|
Accumulated deficit |
|
(862,246 |
) |
|
|
(571,641 |
) |
|
Accumulated other comprehensive (loss) income |
|
(149 |
) |
|
|
121 |
|
|
Total stockholders’ equity (deficit) |
|
266,550 |
|
|
|
(3,714 |
) |
|
Total liabilities and stockholders’ equity (deficit) |
$ |
599,372 |
|
|
$ |
343,776 |
|
|
Consolidated Statements of Cash Flows for the Six Months Ended |
|||||||||||||||
|
June 30, 2025 and June 30, 2024 |
|||||||||||||||
|
(Unaudited) |
|||||||||||||||
|
|
Three Months Ended |
|
Six Months Ended |
||||||||||||
|
$ in thousands |
|
2025 |
|
|
|
2024 |
|
|
|
2025 |
|
|
|
2024 |
|
|
Cash flows from operating activities: |
|
|
|
|
|
|
|
||||||||
|
Net loss |
$ |
(228,619 |
) |
|
$ |
(14,439 |
) |
|
$ |
(290,605 |
) |
|
$ |
(142,231 |
) |
|
Adjustments to reconcile net loss to net cash used in operating activities: |
|
|
|
|
|
|
|
||||||||
|
Depreciation and amortization expense |
|
3,451 |
|
|
|
2,907 |
|
|
|
6,921 |
|
|
|
5,346 |
|
|
Amortization of debt issuance costs and discount |
|
2,026 |
|
|
|
3,407 |
|
|
|
4,790 |
|
|
|
6,743 |
|
|
Equity-based compensation expense |
|
4,319 |
|
|
|
5,749 |
|
|
|
11,719 |
|
|
|
10,906 |
|
|
Goodwill impairment |
|
70,636 |
|
|
|
— |
|
|
|
70,636 |
|
|
|
85,000 |
|
|
Non-cash lease expense |
|
254 |
|
|
|
269 |
|
|
|
624 |
|
|
|
363 |
|
|
Provision for doubtful accounts |
|
311 |
|
|
|
5 |
|
|
|
351 |
|
|
|
176 |
|
|
Deferred income tax benefit |
|
— |
|
|
|
(14 |
) |
|
|
— |
|
|
|
(37 |
) |
|
Loss on extinguishment of debt |
|
— |
|
|
|
— |
|
|
|
2,577 |
|
|
|
— |
|
|
Net increase (decrease) in fair value of derivatives |
|
135,751 |
|
|
|
(8,081 |
) |
|
|
169,087 |
|
|
|
15,726 |
|
|
Changes in assets and liabilities: |
|
|
|
|
|
|
|
||||||||
|
Decrease (increase) in accounts receivable |
|
5,919 |
|
|
|
2,725 |
|
|
|
10,267 |
|
|
|
(6,232 |
) |
|
(Increase) decrease in contract assets |
|
(189 |
) |
|
|
1,338 |
|
|
|
194 |
|
|
|
3,781 |
|
|
Decrease (increase) in prepaid expenses and other assets |
|
1,203 |
|
|
|
293 |
|
|
|
(592 |
) |
|
|
1,243 |
|
|
(Decrease) increase in accounts payable |
|
(876 |
) |
|
|
913 |
|
|
|
(5,039 |
) |
|
|
(5,047 |
) |
|
Increase (decrease) in accrued expenses |
|
319 |
|
|
|
(947 |
) |
|
|
4,765 |
|
|
|
1,652 |
|
|
Increase (decrease) in contract liabilities |
|
1,449 |
|
|
|
(357 |
) |
|
|
1,925 |
|
|
|
1,469 |
|
|
Increase (decrease) in other liabilities |
|
178 |
|
|
|
(826 |
) |
|
|
1,848 |
|
|
|
(275 |
) |
|
Net cash used in operating activities |
|
(3,868 |
) |
|
|
(7,058 |
) |
|
|
(10,532 |
) |
|
|
(21,417 |
) |
|
Cash flows from investing activities: |
|
|
|
|
|
|
|
||||||||
|
Acquisition of business, net of cash acquired |
|
— |
|
|
|
— |
|
|
|
— |
|
|
|
13,935 |
|
|
Purchases of property and equipment |
|
(5 |
) |
|
|
(129 |
) |
|
|
(85 |
) |
|
|
(167 |
) |
|
Capitalized software development costs |
|
(1,159 |
) |
|
|
(1,582 |
) |
|
|
(2,699 |
) |
|
|
(3,225 |
) |
|
Net cash (used in) provided by investing activities |
|
(1,164 |
) |
|
|
(1,711 |
) |
|
|
(2,784 |
) |
|
|
10,543 |
|
|
Cash flows from financing activities: |
|
|
|
|
|
|
|
||||||||
|
Proceeds from issuance of shares for exercised RDO and PIPE warrants |
|
— |
|
|
|
— |
|
|
|
64,673 |
|
|
|
53,809 |
|
|
Payment of RDO and PIPE transaction costs |
|
— |
|
|
|
— |
|
|
|
(551 |
) |
|
|
— |
|
|
Proceeds from at-the-market offering |
|
293,431 |
|
|
|
— |
|
|
|
300,000 |
|
|
|
— |
|
|
Payment of transaction costs for at-the-market offering |
|
(5,135 |
) |
|
|
— |
|
|
|
(5,250 |
) |
|
|
— |
|
|
Repayment of short-term borrowings |
|
(85 |
) |
|
|
(409 |
) |
|
|
(451 |
) |
|
|
(812 |
) |
|
Payment of debt issuance costs to third parties |
|
(337 |
) |
|
|
— |
|
|
|
(4,679 |
) |
|
|
— |
|
|
Proceeds from exercise of options |
|
240 |
|
|
|
33 |
|
|
|
1,633 |
|
|
|
119 |
|
|
Issuance of common stock upon ESPP purchase |
|
1,069 |
|
|
|
607 |
|
|
|
1,069 |
|
|
|
607 |
|
|
Payments of tax withholding from the issuance of common stock |
|
(361 |
) |
|
|
(608 |
) |
|
|
(1,679 |
) |
|
|
(3,140 |
) |
|
Net cash provided by (used in) financing activities |
|
288,822 |
|
|
|
(377 |
) |
|
|
354,765 |
|
|
|
50,583 |
|
|
Effect of foreign currency rate changes on cash and cash equivalents |
|
(555 |
) |
|
|
— |
|
|
|
(745 |
) |
|
|
— |
|
|
Net increase (decrease) in cash and cash equivalents |
|
283,235 |
|
|
|
(9,146 |
) |
|
|
340,704 |
|
|
|
39,709 |
|
|
Cash and cash equivalents at the beginning of period |
|
107,610 |
|
|
|
81,412 |
|
|
|
50,141 |
|
|
|
32,557 |
|
|
Cash and cash equivalents at the end of the period |
$ |
390,845 |
|
|
$ |
72,266 |
|
|
$ |
390,845 |
|
|
$ |
72,266 |
|
|
EBITDA* and Adjusted EBITDA* for the Second Quarter Ended |
|||||||||||||||
|
June 30, 2025 and June 30, 2024 |
|||||||||||||||
|
(Unaudited) |
|||||||||||||||
|
|
|
|
|
||||||||||||
|
|
Three Months Ended |
|
Six Months Ended |
||||||||||||
|
$ thousands |
|
2025 |
|
|
|
2024 |
|
|
|
2025 |
|
|
|
2024 |
|
|
Net loss |
$ |
(228,619 |
) |
|
$ |
(14,439 |
) |
|
$ |
(290,605 |
) |
|
$ |
(142,231 |
) |
|
Interest expense |
|
4,419 |
|
|
|
6,452 |
|
|
|
9,535 |
|
|
|
12,837 |
|
|
Interest income |
|
(1,704 |
) |
|
|
(725 |
) |
|
|
(2,260 |
) |
|
|
(1,172 |
) |
|
Income tax expense |
|
14 |
|
|
|
15 |
|
|
|
39 |
|
|
|
1 |
|
|
Depreciation and amortization |
|
3,451 |
|
|
|
2,907 |
|
|
|
6,921 |
|
|
|
5,346 |
|
|
EBITDA |
|
(222,439 |
) |
|
|
(5,790 |
) |
|
|
(276,370 |
) |
|
|
(125,219 |
) |
|
Adjustments: |
|
|
|
|
|
|
|
||||||||
|
Equity-based compensation |
|
4,319 |
|
|
|
5,749 |
|
|
|
11,719 |
|
|
|
10,906 |
|
|
Employer payroll taxes related to equity-based compensation (1) |
|
611 |
|
|
|
48 |
|
|
|
1,626 |
|
|
|
712 |
|
|
Loss on extinguishment of debt (9) |
|
— |
|
|
|
— |
|
|
|
2,577 |
|
|
|
— |
|
|
Net increase (decrease) in fair value of derivatives (2) |
|
135,751 |
|
|
|
(8,081 |
) |
|
|
169,087 |
|
|
|
15,726 |
|
|
Restructuring charges (3) |
|
1,899 |
|
|
|
457 |
|
|
|
3,597 |
|
|
|
1,317 |
|
|
Non-recurring strategic initiatives (4) |
|
717 |
|
|
|
2,040 |
|
|
|
1,611 |
|
|
|
3,374 |
|
|
Non-recurring litigation (5) |
|
8 |
|
|
|
666 |
|
|
|
30 |
|
|
|
545 |
|
|
Transaction expenses (6) |
|
— |
|
|
|
347 |
|
|
|
— |
|
|
|
1,450 |
|
|
Non-recurring integration costs (7) |
|
— |
|
|
|
883 |
|
|
|
— |
|
|
|
883 |
|
|
Goodwill impairment (8) |
|
70,636 |
|
|
|
— |
|
|
|
70,636 |
|
|
|
85,000 |
|
|
Adjusted EBITDA |
$ |
(8,498 |
) |
|
$ |
(3,681 |
) |
|
$ |
(15,487 |
) |
|
$ |
(5,306 |
) |
|
(1) |
Includes employer payroll taxes due upon the vesting of equity awards granted to employees. |
|
(2) |
The change in fair value of derivatives during the three months ended June 30, 2025 relates to the remeasurement of the 2025 warrants, IPO warrants and the 2026 and 2029 Notes Conversion Options derivative liabilities. The change during the six months ended June 30, 2025, relates to the $14.0 million loss recorded upon the exercise of the 2024 RDO and 2024 PIPE Warrants (the “2024 Warrants”) and issuance of the warrants in 2025 (the “2025 Warrants”) in connection with the warrant exercise agreements entered into on February 5, 2025. During the six months ended June 30, 2025, there was loss related to a mark-to-market adjustment of $59.9M adjustment for the debt to equity conversions during the period. There was an offsetting gain related to the fair market value adjustment on the 2025 warrants and the private warrants of $2.6 million. Additionally, there was an loss of $7.0 million fair market value adjustment of the 2026 and 2029 Notes Conversion Option, during the six months ended June 30, 2025.
The decrease in fair value of derivatives during the three months ended June 30, 2024 relates to remeasurement of the 2024 Warrants and IPO Warrant’s fair value. The increase in fair value of derivatives during the six months ended June 30, 2024, relates to the $42.3 million loss recorded upon the exercise of the 2023 RDO and 2023 PIPE Warrants (the “2023 Warrants”) in connection with the warrant exercise agreements entered into on February 27, 2024 and March 4, 2024. This loss was offset by gains of $10.6 million, net of cash proceeds received, related to the issuance of warrants in 2024 (the “2024 Warrants”). In addition, an $18.3 million reduction in fair value was recorded on the 2024 Warrants issued in connection with the warrant exercise agreements as the fair value decreased from the issue date to quarter end. |
|
(3) |
During the three and six months ended June 30, 2025 and June 30, 2024, the Company incurred employee separation costs associated with a strategic review of the Company’s capacity and future projections to better align the organization and cost structure and improve the affordability of its products and services. |
|
(4) |
Non-recurring professional fees related to the execution of certain strategic initiatives of the Company. |
|
(5) |
Non-recurring litigation consists primarily of legal settlements and related fees for specific proceedings that we have determined arise outside of the ordinary course of business based on the following considerations which we assess regularly: (1) the frequency of similar cases that have been brought to date, or are expected to be brought within two years; (2) the complexity of the case; (3) the nature of the remedy(ies) sought, including the size of any monetary damages sought; (4) offensive versus defensive posture of us; (5) the counterparty involved; and (6) our overall litigation strategy. |
|
(6) |
Transaction expenses during the quarter ended March 31, 2024 consist primarily of diligence, legal and other related expenses incurred associated with the Pangiam acquisition. |
|
(7) |
Non-recurring internal integration costs related to the Pangiam acquisition. |
|
(8) |
During the three months ended March 31, 2024, the Company recognized a non-cash goodwill impairment charge primarily driven by a decrease in share price during the quarter compared to the share price of the equity issued as consideration for the purchase of Pangiam. During the six months ended June 30, 2025, the company recognized a non-cash goodwill impairment charge of $70.6 million, primarily driven by a change in forecast during the second quarter of 2025. |
|
(9) |
Loss on extinguishment of debt is related to voluntary conversions of the 2029 Notes to common stock and the related extinguishment of unamortized debt discount and debt costs. |
|
*EBITDA, Adjusted EBITDA, and Adjusted EBITDA Margin are non-GAAP financial measures. See the “Non-GAAP Financial Measures” section in this press release for additional information and reconciliations. |
|
|
Adjusted EBITDA* Reconciliation for the Second Quarter Ended |
|||||||||||||||
|
June 30, 2025 and June 30, 2024 |
|||||||||||||||
|
(Unaudited) |
|||||||||||||||
|
|
|
|
|
||||||||||||
|
|
Three Months Ended |
|
Six Months Ended |
||||||||||||
|
$ in thousands |
|
2025 |
|
|
|
2024 |
|
|
|
2025 |
|
|
|
2024 |
|
|
Revenue |
$ |
32,472 |
|
|
$ |
39,783 |
|
|
$ |
67,229 |
|
|
$ |
72,904 |
|
|
Net loss |
|
(228,619 |
) |
|
|
(14,439 |
) |
|
|
(290,605 |
) |
|
|
(142,231 |
) |
|
Interest expense |
|
4,419 |
|
|
|
6,452 |
|
|
|
9,535 |
|
|
|
12,837 |
|
|
Interest income |
|
(1,704 |
) |
|
|
(725 |
) |
|
|
(2,260 |
) |
|
|
(1,172 |
) |
|
Income tax expense |
|
14 |
|
|
|
15 |
|
|
|
39 |
|
|
|
1 |
|
|
Depreciation and amortization |
|
3,451 |
|
|
|
2,907 |
|
|
|
6,921 |
|
|
|
5,346 |
|
|
EBITDA* |
$ |
(222,439 |
) |
|
$ |
(5,790 |
) |
|
$ |
(276,370 |
) |
|
$ |
(125,219 |
) |
|
Adjustments: |
|
|
|
|
|
|
|
||||||||
|
Equity-based compensation |
|
4,319 |
|
|
|
5,749 |
|
|
|
11,719 |
|
|
|
10,906 |
|
|
Employer payroll taxes related to equity-based compensation (1) |
|
611 |
|
|
|
48 |
|
|
|
1,626 |
|
|
|
712 |
|
|
Net increase in fair value of derivatives (2) |
|
135,751 |
|
|
|
(8,081 |
) |
|
|
169,087 |
|
|
|
15,726 |
|
|
Restructuring charges (3) |
|
1,899 |
|
|
|
457 |
|
|
|
3,597 |
|
|
|
1,317 |
|
|
Non-recurring strategic initiatives (4) |
|
717 |
|
|
|
2,040 |
|
|
|
1,611 |
|
|
|
3,374 |
|
|
Non-recurring litigation (5) |
|
8 |
|
|
|
666 |
|
|
|
30 |
|
|
|
545 |
|
|
Transaction expenses (6) |
|
— |
|
|
|
347 |
|
|
|
— |
|
|
|
1,450 |
|
|
Non-recurring integration costs (7) |
|
— |
|
|
|
883 |
|
|
|
— |
|
|
|
883 |
|
|
Goodwill impairment (8) |
|
70,636 |
|
|
|
— |
|
|
|
70,636 |
|
|
|
85,000 |
|
|
Loss on extinguishment of debt (9) |
|
— |
|
|
|
— |
|
|
|
2,577 |
|
|
|
— |
|
|
Adjusted EBITDA* |
$ |
(8,498 |
) |
|
$ |
(3,681 |
) |
|
$ |
(18,064 |
) |
|
$ |
(5,306 |
) |
|
Gross Margin |
|
25.0 |
% |
|
|
27.8 |
% |
|
|
23.1 |
% |
|
|
24.8 |
% |
|
Net Loss Margin |
|
(704.0 |
)% |
|
|
(36.3 |
)% |
|
|
(432.3 |
)% |
|
|
(195.1 |
)% |
|
Adjusted EBITDA* Margin |
|
(26.2 |
)% |
|
|
(9.3 |
)% |
|
|
(26.9 |
)% |
|
|
(7.3 |
)% |
|
(1) |
Includes employer payroll taxes due upon the vesting of equity awards granted to employees. |
|
(2) |
The change in fair value of derivatives during the three months ended June 30, 2025 relates to the remeasurement of the 2025 warrants, IPO warrants and the 2026 and 2029 Notes Conversion Options derivative liabilities. The change during the six months ended June 30, 2025, relates to the $14.0 million loss recorded upon the exercise of the 2024 RDO and 2024 PIPE Warrants (the “2024 Warrants”) and issuance of the warrants in 2025 (the “2025 Warrants”) in connection with the warrant exercise agreements entered into on February 5, 2025. During the six months ended June 30, 2025, there was loss related to a mark-to-market adjustment of $59.9M adjustment for the debt to equity conversions during the period. There was an offsetting gain related to the fair market value adjustment on the 2025 warrants and the private warrants of $2.6 million. Additionally, there was an loss of $7.0 million fair market value adjustment of the 2026 and 2029 Notes Conversion Option, during the six months ended June 30, 2025.
The decrease in fair value of derivatives during the three months ended June 30, 2024 relates to remeasurement of the 2024 Warrants and IPO Warrant’s fair value. The increase in fair value of derivatives during the six months ended June 30, 2024, relates to the $42.3 million loss recorded upon the exercise of the 2023 RDO and 2023 PIPE Warrants (the “2023 Warrants”) in connection with the warrant exercise agreements entered into on February 27, 2024 and March 4, 2024. This loss was offset by gains of $10.6 million, net of cash proceeds received, related to the issuance of warrants in 2024 (the “2024 Warrants”). In addition, an $18.3 million reduction in fair value was recorded on the 2024 Warrants issued in connection with the warrant exercise agreements as the fair value decreased from the issue date to quarter end. |
|
(3) |
During the three and six months ended June 30, 2025 and June 30, 2024, the Company incurred employee separation costs associated with a strategic review of the Company’s capacity and future projections to better align the organization and cost structure and improve the affordability of its products and services. |
|
(4) |
Non-recurring professional fees related to the execution of certain strategic initiatives of the Company. |
|
(5) |
Non-recurring litigation consists primarily of legal settlements and related fees for specific proceedings that we have determined arise outside of the ordinary course of business based on the following considerations which we assess regularly: (1) the frequency of similar cases that have been brought to date, or are expected to be brought within two years; (2) the complexity of the case; (3) the nature of the remedy(ies) sought, including the size of any monetary damages sought; (4) offensive versus defensive posture of us; (5) the counterparty involved; and (6) our overall litigation strategy. |
|
(6) |
Transaction expenses during the quarter ended March 31, 2024 consist primarily of diligence, legal and other related expenses incurred associated with the Pangiam acquisition. |
|
(7) |
Non-recurring internal integration costs related to the Pangiam acquisition. |
|
(8) |
During the three months ended March 31, 2024, the Company recognized a non-cash goodwill impairment charge primarily driven by a decrease in share price during the quarter compared to the share price of the equity issued as consideration for the purchase of Pangiam. During the six months ended June 30, 2025, the company recognized a non-cash goodwill impairment charge of $70.6 million, primarily driven by a change in forecast during the second quarter of 2025. |
|
(9) |
Loss on extinguishment of debt is related to voluntary conversions of the 2029 Notes to common stock and the related extinguishment of unamortized debt discount and debt costs. |
|
*EBITDA, Adjusted EBITDA, and Adjusted EBITDA Margin are non-GAAP financial measures. See the “Non-GAAP Financial Measures” section in this press release for additional information and reconciliations. |
|
Forward-Looking Statements
This release contains forward-looking statements regarding future events and our future results that are subject to the safe harbors created under the Securities Act of 1933 (the “Securities Act”), the Securities Exchange Act of 1934 (the “Exchange Act”) and the Private Securities Litigation Reform Act of 1995. Forward-looking statements generally are accompanied by words such as “believe,” “may,” “will,” “estimate,” “continue,” “anticipate,” “intend,” “expect,” “should,” “would,” “plan,” “predict,” “project,” “potential,” “seem,” “seek,” “future,” “outlook,” and similar expressions that predict or indicate future events or trends or that are not statements of historical matters. These forward-looking statements include, but are not limited to, statements regarding our industry, future events, and other statements that are not historical facts. These statements are based on current expectations and beliefs concerning future developments and their potential effects on us and should not be relied upon as representing BigBear’s assessment as of any date subsequent to the date of this release. There can be no assurance that future developments affecting us will be those that we have anticipated. Many actual events and circumstances are beyond our control. These forward-looking statements are subject to a number of risks and uncertainties, including those relating to: changes in domestic and foreign business, market, financial, political, and legal conditions; the uncertainty of projected financial information; delays caused by factors outside of our control, including changes in fiscal or contracting policies or decreases in available government funding, including as a result of events such as war, incidents of terrorism, natural disasters, and public health concerns or epidemics; changes in government programs or applicable requirements; budgetary constraints, including any potential constraints as a result of recent or future federal government layoffs, including automatic reductions as a result of “sequestration” or similar measures and constraints imposed by any lapses in appropriations for the federal government or certain of its departments and agencies, including government shutdowns or the ability of the U.S. federal government to unilaterally cancel a contract with or without cause, and more specifically, the potential impact of the U.S. DOGE Service Temporary Organization on government spending and terminating contracts for convenience; the failure of contracts comprising backlog to result in revenue due to changes in funding, terminations for convenience, or option periods going unexercised; the impact of tariffs or other restrictive trade measures; implementation of spending limits or changes in budgetary constraints; influence by, or competition from, third parties with respect to pending, new, or existing contracts with government customers; changes in our ability to successfully compete for and receive task orders and generate revenue under Indefinite Delivery/Indefinite Quantity contracts; our ability to realize the benefits of the strategic partnerships; risks that the new businesses will not be integrated successfully or that the combined companies will not realize estimated cost savings; failure to realize anticipated benefits of the combined operations; potential delays or changes in the government appropriations or procurement processes; our ability to remediate a material weakness in our internal control over financial reporting; risks regarding the market and our customers accepting and adopting our products, including future new product offerings; the high degree of uncertainty of the level of demand for, and market utilization of, our solutions and products; our ability to successfully execute and realize the benefits of joint ventures, channel sales relationships, partnerships, strategic alliances, subcontracting opportunities, customer contracts and other commercial agreements to which we are a party; and those factors discussed in the Company’s reports and other documents filed with the SEC, including under the heading “ Risk Factors. ” If any of these risks materialize or our assumptions prove incorrect, actual results could differ materially from those projected by these forward-looking statements. There may be additional risks that we presently do not know or that we currently believe are immaterial which could also cause actual results to differ from those contained in the forward-looking statements. In addition, forward-looking statements reflect our expectations, plans or forecasts of future events and views as of the date of this release. We anticipate that subsequent events and developments will cause our assessments to change. However, we specifically disclaim any obligation to do so. Accordingly, undue reliance should not be placed upon the forward-looking statements.
Non-GAAP Financial Measures
The financial information and data contained in this press release is unaudited. Some of the financial information and data contained in this press release, such as EBITDA, Adjusted EBITDA, and Adjusted EBITDA Margin have not been prepared in accordance with United States generally accepted accounting principles (“GAAP”). To supplement our unaudited condensed consolidated financial statements, which are prepared and presented in accordance with GAAP in our press release, we also report certain non-GAAP financial measures. A “non-GAAP financial measure” refers to a numerical measure of a company’s historical or future financial performance, financial position, or cash flows that excludes (or includes) amounts that are included in (or excluded from) the most directly comparable measure calculated and presented in accordance with GAAP in such company’s financial statements. Non-GAAP financial measures should not be considered in isolation or as a substitute for the relevant GAAP measures and should be read in conjunction with information presented on a GAAP basis. Because not all companies use identical calculations, our presentation of non-GAAP measures may not be comparable to other similarly titled measures of other companies.
The presentation of these financial measures is not intended to be considered in isolation or as a substitute for, or superior to, financial information prepared and presented in accordance with GAAP and should not be considered measures of BigBear.ai’s liquidity. Investors are cautioned that there are material limitations associated with the use of non-GAAP financial measures as an analytical tool. In particular, many of the adjustments to our GAAP financial measures reflect the exclusion of certain items, as defined in our non-GAAP definitions below, which are recurring and will be reflected in our financial results for the foreseeable future. In addition, these measures may be different from non-GAAP financial measures used by other companies, even where similarly titled, limiting their usefulness for comparison purposes and therefore should not be used to compare BigBear.ai’s performance to that of other companies. We endeavor to compensate for the limitation of the non-GAAP financial measures presented by also providing the most directly comparable GAAP measures and descriptions of the reconciling items and adjustments to derive the non-GAAP financial measures.
We believe these non-GAAP financial measures provide investors and analysts with useful supplemental information about the financial performance of our business, enable comparison of financial results between periods where certain items may vary independent of business performance, and allow for greater transparency with respect to key measures used by management to operate and analyze our business over different periods of time.
EBITDA is defined as net loss before interest expense, interest income, income tax expense (benefit) and depreciation and amortization. Adjusted EBITDA is defined as EBITDA further adjusted for equity-based compensation, employer payroll taxes related to equity-based compensation, net increase in fair value of derivatives, restructuring charges, non-recurring strategic initiatives, non-recurring integration costs, non-recurring litigation, transaction expenses, goodwill impairment, and loss on extinguishment of debt.
Adjusted EBITDA Margin is defined as Adjusted EBITDA as a percentage of Revenue.
Similar excluded expenses may be incurred in future periods when calculating these measures. BigBear.ai believes these non-GAAP measures of financial results provide useful information to management and investors regarding certain financial and business trends relating to the Company’s financial condition and results of operations. BigBear.ai believes that the use of these non-GAAP financial measures provides an additional tool for investors to use in evaluating projected operating results and trends and in comparing BigBear.ai’s financial measures with other similar companies, many of which present similar non-GAAP financial measures to investors.
Management does not consider these non-GAAP measures in isolation or as an alternative to financial measures determined in accordance with GAAP. The principal limitation of these non-GAAP financial measures is that they exclude significant expenses and income that are required by GAAP to be recorded in the Company’s financial statements. In addition, they are subject to inherent limitations as they reflect the exercise of judgment by management about which expense and income items are excluded or included in determining these non-GAAP financial measures.
Management uses EBITDA, Adjusted EBITDA, and Adjusted EBITDA Margin as non-GAAP performance measures which are reconciled to the most directly comparable GAAP measure, in the tables included in this release. The Company does not reconcile forward-looking non-GAAP financial measures to the most directly comparable GAAP financial measure (or otherwise describe such forward-looking GAAP measure) because it is not able to forecast the most directly comparable measure calculated and presented in accordance with GAAP without unreasonable effort. Certain elements of the composition of the GAAP amounts are not predictable, making it impracticable for the Company to forecast. As a result, no guidance for the Company’s net (loss) income or reconciliation of the Company’s Adjusted EBITDA guidance is provided. For the same reasons, the Company is unable to assess the probable significance of the unavailable information, which could have a potentially significant impact on its future net income (loss).
We present reconciliations of these non-GAAP financial measures to the most directly comparable GAAP measures in the tables included in this release.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions and services for national security, defense, travel, trade, and enterprise. Customers and partners rely on BigBear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250811103925/en/
AI isn’t ready to take over all the human aspects of trading, said Robinhood’s CEO.
In an interview with Bloomberg Wealth released on Wednesday, Vlad Tenev reiterated his view that people don’t always trade to make money and that there will always be a human aspect to business.
“Most of the time you’re not doing it just because you want to make money,” he said. “You also love trading and you’re you’re extremely passionate about it.”
He added: “I don’t think there’s going to be a future where AI just does all of your thinking, all of your financial planning, all the strategizing for you.”
Tenev, who cofounded the brokerage platform in 2013, said that AI could be a bigger platform shift than mobile and cloud technologies. He said that while every company will quickly become an AI company, AI won’t completely take over trading.
“It’ll be a helpful assistant to a trader and also to your broader financial life,” he said. “But I think the humans will ultimately be calling the shots.”
Tenev made similar remarks about how investors “legitimately enjoy trading” in an August interview with Axios.
On Tuesday, Robinhood announced it was building a social media platform where users can post their trades and track what other investors, including politicians, are buying or selling.
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Other CEOs are also wary of pronouncing AI the future of trading.
Ken Griffin, the founder and CEO of Citadel, said he doesn’t think AI will revolutionize the investment business.
“Do we use it in our investment business? A little bit, a little bit. I can’t say it’s been game-changing,” Griffin said in a May interview with Stanford Graduate School of Business.
“It saves some time. It’s a productivity enhancement tool. It’s nice, I don’t think it’s going to revolutionize most of what we do in finance,” Griffin added.
On the topic of AI and trading, Goldman Sachs CEO David Solomon has said that AI has been a big boost to productivity in the investing business.
In an interview with CNBC last year, he said that 40 years ago, when he started the banking business, it took six hours to compare two stocks. Now, it takes an instant, he said.
The firm has already launched ventures that could change how Wall Street makes deals. Louisa AI, a startup founded within the firm six years ago, helps bankers and investors analyze millions of articles and employees’ knowledge to identify deals.
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AI Breakthrough Promises More Consistent Results—A Win for Small Businesses – Times Square Chronicles
AI Breakthrough Promises More Consistent Results—A Win for Small Businesses Times Square Chronicles
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WHEN David Ha started an AI company in Japan with his former Google colleague, they had a choice: create another huge, energy-intensive tool like ChatGPT, or go their own way.
Since its 2023 launch, the value of their firm Sakana AI has soared past US$1 billion, becoming Japan’s fastest start-up to reach so-called unicorn status.
“In a space like AI, everyone’s kind of doing the same thing. They’re just like collecting the world’s data, building a gigantic model, sucking up all this energy,” Ha told AFP.
For a new venture, “the chance of success is actually quite low, especially in Japan”, where the resources to run power-hungry data centres are scarce.
Instead of going head-to-head with top players like OpenAI or Alibaba, Sakana aims to merge existing and new systems, large and small, to develop what it calls “collective intelligence”.
In many countries, “people are debating, should I use a Chinese model or should I use a US model?” Ha said, referring to AI foundation models trained on vast amounts of data.
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But in today’s tumultuous world, “you can imagine… a scenario where a certain provider might turn off their models”, he added.
Combining the best aspects of multiple systems means Sakana’s AI-powered programmes could in theory “continue to operate”, he said, even if “with slightly lower performance at the beginning”.
Sakana’s approach has won it the support of US chip giant Nvidia as well as Japanese banks and other businesses keen to get ahead in the fast-moving world of generative artificial intelligence.
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The word sakana means fish in Japanese, and the start-up says it is inspired by nature, where species from ants to humans collaborate to solve problems.
‘Soft power’
Ha, a Hong Kong-born Canadian and long-term Japan resident, is a former Google Brain research scientist who previously traded derivatives for Goldman Sachs.
He founded Sakana AI with ex-Google researcher Llion Jones, co-author of a groundbreaking 2017 machine learning paper, and Ren Ito, who has held positions in Japan’s foreign ministry.
Sakana’s team numbers more than 100, including contractors, and its unassuming offices are located in a shared Tokyo start-up space.
Japan is pouring tens of billions of dollars into AI and semiconductors, hoping to claw back some of its 1980s tech glory and boost the productivity of its shrinking workforce.
But there is some way to go.
In academic institute IMD’s 2025 World Competitiveness Ranking, Japan came 35th, with researchers saying it needs to foster entrepreneurship and address labour shortages caused by its ageing population.
“There are a lot of business challenges in Japan”, where working environments are “very different” to Europe, China or the United States, Ha said.
But “building from the ground up” is an advantage for Sakana AI, which is “taking advantage of Japan’s soft power” to attract talented software engineers.
In starting the company, Ha has put down roots in Japan, which “has its problems” but remains “a leading democracy in Asia”, he said.
Experimentation
The tools developed by Sakana AI include a Japanese-language chatbot called “Tiny Swallow” that works offline, protecting users’ privacy.
Another trained on historical Japanese literature responds to text queries in samurai-like language.
Some coders have pointed out problems in the output of Sakana projects such as AI Scientist – a bid to automate scientific discovery, whose paper passed a peer-review process this year – and in others built to improve the efficiency of AI engineering.
“We have to experiment,” Ha said. In academia and business, too, “things may not go your way, and we learn from that”.
In any case, “people take these concepts very seriously” and work can progress quickly – like the evolution of AI-generated video from “blobby” images to hyper-realism, he said.
In May, Sakana announced a “multi-year partnership” with Japanese megabank MUFG to develop “bank-specific AI systems”.
While Ha wants to keep Sakana’s AI research team small and “niche”, the arm of the start-up that helps Japanese businesses and the public sector deploy AI is growing.
“It is a challenge to balance between working on cutting-edge… AI development, and on the business side to deploy trusted solutions that are known to work,” he said.
Ha predicts that investors’ excitement around AI will inevitably taper.
“Every major technological revolution, from canals to the dot-com boom, has been fuelled by a bubble,” he said.
“That speculative investment, while risky, is what funds the foundational breakthroughs.” AFP
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