BigBear.ai Holdings (BBAI) Capital Expenditures (2020 - 2026)
BigBear.ai Holdings (BBAI) recorded Capital Expenditures of $316,000 in Q2 2026, compared with $5,000 a year earlier and down 0.9% from the prior quarter.
BigBear.ai Holdings (BBAI) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, BigBear.ai Holdings' Capital Expenditures came in at $1.08 million as of Jun 30, 2026, up 167.4% year-over-year; for FY2025, it was $525,000, up 8.5% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 27.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $484,000 in FY2024, $2,000 in FY2023 (-99.7%), $769,000 in FY2022 (+19.2%) and $645,000 in FY2021 (+316.1%).
- Quarterly Capital Expenditures has ranged from $2,000 in Q2 2023 to $524,000 in Q4 2021 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last five quarters, with growth averaging 78.1%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 298.8% in Q1 2026, against a decline of 98.7% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $319,000 (Q1 2026), $252,000 (Q4 2025) and $188,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 2.47 Mn |
| 10 | BigBear.ai Holdings | 1.27 Bn | -142.08 Mn | 12.05 Mn | 316,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316,000.00 |
| Mar 31, 2026 | 319,000.00 |
| Dec 31, 2025 | 252,000.00 |
| Sep 30, 2025 | 188,000.00 |
| Jun 30, 2025 | 5,000.00 |
| Mar 31, 2025 | 80,000.00 |
| Dec 31, 2024 | 180,000.00 |
| Sep 30, 2024 | 137,000.00 |
| Jun 30, 2024 | 129,000.00 |
| Mar 31, 2024 | 38,000.00 |
| Jun 30, 2023 | 2,000.00 |
| Dec 31, 2022 | 33,000.00 |
| Sep 30, 2022 | 228,000.00 |
| Jun 30, 2022 | 149,000.00 |
| Mar 31, 2022 | 359,000.00 |
| Dec 31, 2021 | 524,000.00 |
| Jun 30, 2021 | 112,000.00 |
| Mar 31, 2021 | 170,000.00 |
| Oct 22, 2020 | -161,000.00 |
BigBear.ai Holdings Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=BBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "BBAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();