Babcock & Wilcox Enterprises (BW) EPS (Diluted) (2014 - 2026)
Babcock & Wilcox Enterprises' EPS (Diluted) came in at $0.07 for Q2 2026, compared with -$0.63 a year earlier.
Babcock & Wilcox Enterprises (BW) EPS (Diluted) (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Babcock & Wilcox Enterprises reported EPS (Diluted) of -$0.21; for FY2025, it was -$0.48.
- Going back by year, EPS (Diluted) was -$0.82 in FY2024, -$2.38 in FY2023, -$0.43 in FY2022 and $0.26 in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$1.35 (Q3 2023) to $0.31 (Q4 2021).
- Business Quant data shows BW's EPS (Diluted) at -$0.60 (Q1 2026), $0.05 (Q4 2025) and $0.30 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 204.52 Bn | 156.77 Bn | 3.11 Bn | 4.82 |
| 2 | Bloom Energy | 49.50 Bn | 39.43 Bn | 417.10 Mn | 0.77 |
| 3 | First Solar | 21.04 Bn | 12.41 Bn | 713.06 Mn | 5.30 |
| 4 | Nextpower | 15.01 Bn | 10.72 Bn | 345.32 Mn | 1.08 |
| 5 | BWX Technologies | 10.53 Bn | 8.35 Bn | 227.14 Mn | 1.11 |
| 6 | Generac Holdings | 10.17 Bn | 8.90 Bn | 516.04 Mn | 1.83 |
| 7 | EnerSys | 5.18 Bn | 3.37 Bn | 313.36 Mn | 3.09 |
| 8 | Mirion Technologies | 4.15 Bn | 2.56 Bn | 131.50 Mn | 0.03 |
| 9 | Enphase Energy | 3.83 Bn | -480.29 Mn | 127.12 Mn | 0.17 |
| 10 | Babcock & Wilcox Enterprises | 461.78 Mn | -67.25 Mn | 46.64 Mn | 0.07 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.07 |
| Mar 31, 2026 | -0.60 |
| Dec 31, 2025 | 0.05 |
| Sep 30, 2025 | 0.30 |
| Jun 30, 2025 | -0.63 |
| Mar 31, 2025 | -0.26 |
| Dec 31, 2024 | -0.73 |
| Sep 30, 2024 | -0.10 |
| Jun 30, 2024 | 0.24 |
| Mar 31, 2024 | -0.23 |
| Dec 31, 2023 | -0.75 |
| Sep 30, 2023 | -1.35 |
| Jun 30, 2023 | -0.10 |
| Mar 31, 2023 | -0.18 |
| Dec 31, 2022 | 0.02 |
| Sep 30, 2022 | -0.24 |
| Jun 30, 2022 | -0.07 |
| Mar 31, 2022 | -0.14 |
| Dec 31, 2021 | 0.31 |
| Sep 30, 2021 | 0.11 |
Babcock & Wilcox Enterprises EPS (Diluted) 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=eps-diluted&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();