BigBear.ai Holdings (BBAI) Non Operating Interest Expenses (2021 - 2026)
BigBear.ai Holdings' Non Operating Interest Expenses was $307,000 in Q3 2026, down 93.3% from $4.6 million a year earlier and unchanged from the prior quarter.
BigBear.ai Holdings (BBAI) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, BigBear.ai Holdings' Non Operating Interest Expenses was $4.91 million through Sep 30, 2026, down 75.9% year-over-year; for FY2025, it came in at $18.12 million, down 29.4% from FY2024.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of 23.6% (FY2021 to FY2025).
- In earlier years, Non Operating Interest Expenses was $25.65 million in FY2024 (+3.1%), $24.88 million in FY2023 (+3.3%), $24.09 million in FY2022 (+210.4%) and $7.76 million in FY2021.
- Quarterly Non Operating Interest Expenses has moved between $307,000 (Q2 2026) and $13.43 million (Q4 2022) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for eight straight quarters, with an average decline of 49.9% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2022 (growth of 92.2%); the worst was Q1 2026 (a decline of 93.8%).
- Per Business Quant data, BBAI's Non Operating Interest Expenses in the three quarters before Q3 2026 was $307,000 (Q2 2026), $317,000 (Q1 2026) and $3.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 2.08 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 3.00 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.24 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 2.75 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 924,000.00 |
| 10 | BigBear.ai Holdings | 1.06 Bn | -178.04 Mn | 13.59 Mn | 307,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 307,000.00 |
| Jun 30, 2026 | 307,000.00 |
| Mar 31, 2026 | 317,000.00 |
| Dec 31, 2025 | 3.98 Mn |
| Sep 30, 2025 | 4.60 Mn |
| Jun 30, 2025 | 4.42 Mn |
| Mar 31, 2025 | 5.12 Mn |
| Dec 31, 2024 | 6.26 Mn |
| Sep 30, 2024 | 6.55 Mn |
| Jun 30, 2024 | 6.45 Mn |
| Mar 31, 2024 | 6.39 Mn |
| Dec 31, 2023 | 6.34 Mn |
| Sep 30, 2023 | 6.27 Mn |
| Jun 30, 2023 | 6.19 Mn |
| Mar 31, 2023 | 6.08 Mn |
| Dec 31, 2022 | 13.43 Mn |
| Sep 30, 2022 | 3.56 Mn |
| Jun 30, 2022 | 3.55 Mn |
| Mar 31, 2022 | 3.56 Mn |
| Dec 31, 2021 | 7.76 Mn |
BigBear.ai Holdings Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=BBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();