Bridger Aerospace Group Holdings (BAER) EV to EBITDA (2024 - 2026)
Bridger Aerospace Group Holdings' EV to EBITDA was 30.75 in Q2 2026, up 160.3% from 11.81 a year earlier but down 6.2% from the prior quarter.
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Analysis
Bridger Aerospace Group Holdings (BAER) EV to EBITDA (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bridger Aerospace Group Holdings' EV to EBITDA was 25.18 through Jun 30, 2026, up 165.3% year-over-year; for FY2025, it was 15.49, down 22.7% from FY2024.
- In earlier years, EV to EBITDA was 20.04 in FY2024.
- Quarterly EV to EBITDA has moved between 10.22 (Q3 2025) and 181.91 (Q3 2024) over five years.
- Compared with a year earlier, EV to EBITDA was higher in two of the last four quarters, with growth averaging 40.9%.
- Per Business Quant data, BAER's EV to EBITDA in the three quarters before Q2 2026 was 32.80 (Q1 2026), 15.49 (Q4 2025) and 10.22 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 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 |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Bridger Aerospace Group Holdings | 28.56 Mn | -74.18 Mn | 11.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.94 |
| Mar 31, 2026 | 30.27 |
| Dec 31, 2025 | 14.96 |
| Sep 30, 2025 | 9.99 |
| Jun 30, 2025 | 11.52 |
| Mar 31, 2025 | 14.32 |
| Dec 31, 2024 | 19.16 |
| Sep 30, 2024 | 127.70 |
API Access
Bridger Aerospace Group Holdings EV to EBITDA 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=ev-to-ebitda&ticker=BAER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BAER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();