Babcock & Wilcox Enterprises (BW) Price to Book (2015 - 2026)
Babcock & Wilcox Enterprises' (BW) Price to Book was 36.61 for Q2 2026.
Powered by 
Analysis
Babcock & Wilcox Enterprises (BW) Price to Book (2015 - 2026) Analysis & Trends
For FY2021, Price to Book at Babcock & Wilcox Enterprises was 13.28.
- By year, Price to Book came in at 1.31 in FY2017 (-8.9%).
- The Q2 2026 figure ranks as the highest quarterly Price to Book in data going back to Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 266.37 Bn | 226.28 Bn | 2.36 Bn |
| 2 | Bloom Energy | 73.98 Bn | 65.77 Bn | 355.57 Mn |
| 3 | First Solar | 19.68 Bn | 10.64 Bn | 605.00 Mn |
| 4 | Nextpower | 13.09 Bn | 8.98 Bn | 335.85 Mn |
| 5 | BWX Technologies | 12.56 Bn | 10.86 Bn | 202.31 Mn |
| 6 | Generac Holdings | 12.50 Bn | 11.33 Bn | 521.81 Mn |
| 7 | EnerSys | 6.41 Bn | 4.60 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.08 Bn | -777.50 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.96 Bn | 1.79 Bn | 133.10 Mn |
| 10 | Babcock & Wilcox Enterprises | 698.13 Mn | 169.11 Mn | 46.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.61 |
| Jun 30, 2022 | 16.42 |
| Mar 31, 2022 | 16.03 |
| Dec 31, 2021 | 13.28 |
| Sep 30, 2021 | 27.10 |
| Jun 30, 2018 | 5.36 |
| Mar 31, 2018 | 2.76 |
| Dec 31, 2017 | 1.31 |
| Sep 30, 2017 | 0.50 |
| Jun 30, 2017 | 1.38 |
| Mar 31, 2017 | 0.81 |
| Dec 31, 2016 | 1.44 |
| Sep 30, 2016 | 1.25 |
| Jun 30, 2016 | 1.14 |
| Mar 31, 2016 | 1.48 |
| Dec 31, 2015 | 1.45 |
| Sep 30, 2015 | 1.16 |
| Jun 30, 2015 | 1.30 |
API Access
Babcock & Wilcox Enterprises Price to Book 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=price-to-book&ticker=BW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();