BigBear.ai Holdings (BBAI) Interest Expenses (2021 - 2026)
BigBear.ai Holdings (BBAI) posted Interest Expenses of $307,000 for Q2 2026, down 93.1% from $4.42 million a year earlier and down 3.2% from the prior quarter.
BigBear.ai Holdings (BBAI) Interest Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at BigBear.ai Holdings was $9.21 million, down 58.8% year-over-year; for FY2025, it was $18.12 million, down 29.4% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 96.7% (FY2020 to FY2025).
- In prior years, BigBear.ai Holdings' 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.
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses in data going back to Q1 2021.
- On a year-over-year basis, Interest Expenses has declined in each of the last seven quarters, with an average decline of 37.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2022, with growth of 92.2%; the weakest was Q1 2026, with a decline of 93.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $317,000 (Q1 2026), $3.98 million (Q4 2025) and $4.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -89.29 Mn |
| 10 | BigBear.ai Holdings | 1.27 Bn | -142.08 Mn | 12.05 Mn | 307,000.00 |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.87 Mn |
BigBear.ai Holdings 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=interest-expenses&ticker=BBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();