Babcock & Wilcox Enterprises, Inc. (BW-PA) EV to EBITDA (2015 - 2026)
Babcock & Wilcox Enterprises' (BW-PA) EV to EBITDA stood at 48.39 in Q2 2026, up 856.4% from 5.06 a year earlier but down 25.7% from the prior quarter.
Babcock & Wilcox Enterprises, Inc. (BW-PA) EV to EBITDA (2015 - 2026) Analysis & Trends
On a TTM basis, Babcock & Wilcox Enterprises' EV to EBITDA came in at 42.44 as of Jun 30, 2026; for FY2025, it came in at 18.75, up 46.0% from FY2024.
- Across earlier years, EV to EBITDA came in at 12.84 in FY2024 (-81.8%), 70.75 in FY2023 (+271.0%), 19.07 in FY2022 (+24.4%) and 15.33 in FY2021 (+71.3%).
- Quarterly EV to EBITDA has ranged from 5.06 in Q2 2025 to 70.75 in Q4 2023 over the past five years.
- On a year-over-year basis, EV to EBITDA has increased for three consecutive quarters, with growth averaging 306.1% over the last five quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 856.4% in Q2 2026, against a decline of 87.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 65.10 (Q1 2026), 20.91 (Q4 2025) and 16.58 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.39 |
| Mar 31, 2026 | 65.10 |
| Dec 31, 2025 | 20.91 |
| Sep 30, 2025 | 16.58 |
| Jun 30, 2025 | 5.06 |
| Mar 31, 2025 | 8.66 |
| Dec 31, 2024 | 8.82 |
| Mar 31, 2024 | 11.92 |
| Dec 31, 2023 | 70.75 |
| Sep 30, 2023 | 6.64 |
| Jun 30, 2023 | 12.63 |
| Mar 31, 2023 | 16.80 |
| Dec 31, 2022 | 20.67 |
| Sep 30, 2022 | 24.27 |
| Jun 30, 2022 | 11.32 |
| Mar 31, 2022 | 15.70 |
| Dec 31, 2021 | 15.33 |
| Sep 30, 2021 | 15.39 |
| Jun 30, 2021 | 21.89 |
| Mar 31, 2021 | 40.44 |
Babcock & Wilcox Enterprises, 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=BW-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BW-PA", "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=BW-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();