Baldwin Insurance Group, Inc. (BWIN) EV to EBITDA (2019 - 2026)
Baldwin Insurance's EV to EBITDA was 58.85 in Q2 2026, up 124.2% from 26.25 a year earlier and up 22.7% from the prior quarter.
Baldwin Insurance Group, Inc. (BWIN) EV to EBITDA (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Baldwin Insurance's EV to EBITDA was 53.63 through Jun 30, 2026, up 118.7% year-over-year; for FY2025, it came in at 15.90, down 44.9% from FY2024.
- EV to EBITDA has now declined for four consecutive years.
- In earlier years, EV to EBITDA was 28.85 in FY2024 (-48.7%), 56.25 in FY2023 (-6.6%), 60.23 in FY2022 (-73.9%) and 230.92 in FY2021.
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q3 2023.
- Compared with a year earlier, EV to EBITDA was higher in two of the last eight quarters, with an average decline of 11.9%.
- The best year-over-year quarter for EV to EBITDA over five years was Q3 2023 (growth of 289.2%); the worst was Q3 2024 (a decline of 75.6%).
- Per Business Quant data, BWIN's EV to EBITDA in the three quarters before Q2 2026 was 47.95 (Q1 2026), 15.90 (Q4 2025) and 19.12 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.44 |
| Mar 31, 2026 | 44.39 |
| Dec 31, 2025 | 15.46 |
| Sep 30, 2025 | 18.58 |
| Jun 30, 2025 | 25.54 |
| Mar 31, 2025 | 28.28 |
| Dec 31, 2024 | 27.89 |
| Sep 30, 2024 | 41.31 |
| Jun 30, 2024 | 34.34 |
| Mar 31, 2024 | 40.25 |
| Dec 31, 2023 | 51.52 |
| Sep 30, 2023 | 138.76 |
| Mar 31, 2023 | 112.61 |
| Dec 31, 2022 | 55.12 |
| Sep 30, 2022 | 42.52 |
| Jun 30, 2022 | 38.84 |
| Mar 31, 2022 | 103.48 |
| Dec 31, 2021 | 196.30 |
| Sep 30, 2021 | 103.54 |
| Jun 30, 2021 | 71.70 |
Baldwin Insurance Group, Inc. 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=BWIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BWIN", "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=BWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();