Bridger Aerospace Group Holdings (BAER) Operating Expenses (2022 - 2026)
Bridger Aerospace Group Holdings (BAER) recorded Operating Expenses of $5.31 million in Q2 2026, down 47.6% from $10.12 million a year earlier and down 68.3% from the prior quarter.
Powered by 
Analysis
Bridger Aerospace Group Holdings (BAER) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Bridger Aerospace Group Holdings' Operating Expenses came in at $43.21 million as of Jun 30, 2026, up 17.7% year-over-year; for FY2025, it came in at $36.28 million, up 1.3% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 1.1% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $35.82 million in FY2024 (-56.8%), $82.86 million in FY2023 (+135.9%) and $35.13 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2022.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 5.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 586.4% in Q1 2023, against a decline of 61.1% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.73 million (Q1 2026), $13.45 million (Q4 2025) and $7.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 11.75 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 21.79 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | 9.85 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Bridger Aerospace Group Holdings | 28.56 Mn | -74.18 Mn | 11.32 Mn | 5.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.31 Mn |
| Mar 31, 2026 | 16.73 Mn |
| Dec 31, 2025 | 13.45 Mn |
| Sep 30, 2025 | 7.72 Mn |
| Jun 30, 2025 | 10.12 Mn |
| Mar 31, 2025 | 10.29 Mn |
| Dec 31, 2024 | 7.67 Mn |
| Sep 30, 2024 | 8.64 Mn |
| Jun 30, 2024 | 9.80 Mn |
| Mar 31, 2024 | 12.91 Mn |
| Dec 31, 2023 | 19.38 Mn |
| Sep 30, 2023 | 15.06 Mn |
| Jun 30, 2023 | 15.19 Mn |
| Mar 31, 2023 | 33.23 Mn |
| Dec 31, 2022 | 6.49 Mn |
| Sep 30, 2022 | 18.06 Mn |
| Jun 30, 2022 | 5.74 Mn |
| Mar 31, 2022 | 4.84 Mn |
API Access
Bridger Aerospace Group Holdings Operating 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=operating-expenses&ticker=BAER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BAER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BAER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();