Babcock & Wilcox Enterprises (BW) EBITDA (2014 - 2026)
Babcock & Wilcox Enterprises (BW) recorded EBITDA of $17.38 million in Q2 2026, up 85.9% from $9.35 million a year earlier and up 793.4% from the prior quarter.
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Analysis
Babcock & Wilcox Enterprises (BW) EBITDA (2014 - 2026) Analysis & Trends
On a TTM basis, Babcock & Wilcox Enterprises' EBITDA came in at $37.03 million as of Jun 30, 2026, up 159.0% year-over-year; for FY2025, it came in at $30.87 million, up 197.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $10.37 million in FY2024, $931,000 in FY2023 (-95.9%), $22.84 million in FY2022 (-39.5%) and $37.76 million in FY2021 (+150.6%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2023.
- On a year-over-year basis, EBITDA rose in three of the last five quarters, with growth averaging 43.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 207.3% in Q1 2026, against a decline of 98.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.95 million (Q1 2026), $8.26 million (Q4 2025) and $9.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.67 Bn | 157.77 Bn | 3.11 Bn | 1.83 Bn |
| 2 | Bloom Energy | 50.26 Bn | 40.16 Bn | 417.10 Mn | 242.43 Mn |
| 3 | First Solar | 21.21 Bn | 12.58 Bn | 713.06 Mn | 694.14 Mn |
| 4 | Nextpower | 15.07 Bn | 10.78 Bn | 345.32 Mn | 222.47 Mn |
| 5 | BWX Technologies | 10.62 Bn | 8.43 Bn | 227.14 Mn | 165.59 Mn |
| 6 | Generac Holdings | 10.16 Bn | 8.89 Bn | 516.04 Mn | 247.04 Mn |
| 7 | EnerSys | 5.21 Bn | 3.40 Bn | 313.36 Mn | 182.39 Mn |
| 8 | Mirion Technologies | 4.17 Bn | 2.53 Bn | 131.50 Mn | 56.80 Mn |
| 9 | Enphase Energy | 3.86 Bn | -452.17 Mn | 127.12 Mn | 26.90 Mn |
| 10 | Babcock & Wilcox Enterprises | 441.94 Mn | -87.09 Mn | 46.64 Mn | 17.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.38 Mn |
| Mar 31, 2026 | -392,000.00 |
| Dec 31, 2025 | 10.30 Mn |
| Sep 30, 2025 | 8.60 Mn |
| Jun 30, 2025 | 10.14 Mn |
| Mar 31, 2025 | 2.15 Mn |
| Dec 31, 2024 | 628,000.00 |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | 1.99 Mn |
| Mar 31, 2024 | 11.31 Mn |
| Dec 31, 2023 | -32.75 Mn |
| Sep 30, 2023 | 11.68 Mn |
| Jun 30, 2023 | 19.71 Mn |
| Mar 31, 2023 | 8.04 Mn |
| Dec 31, 2022 | 15.09 Mn |
| Sep 30, 2022 | 57,000.00 |
| Jun 30, 2022 | 10.90 Mn |
| Mar 31, 2022 | 253,000.00 |
| Dec 31, 2021 | 14.76 Mn |
| Sep 30, 2021 | 19.75 Mn |
API Access
Babcock & Wilcox Enterprises 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=ebitda&ticker=BW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();