Babcock & Wilcox Enterprises (BW) Price to Earnings (2015 - 2022)
Babcock & Wilcox Enterprises' Price to Earnings came in at 29.64 for Q2 2022, up 10.8% from 26.76 a year earlier and up 6.2% from the prior quarter.
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Analysis
Babcock & Wilcox Enterprises (BW) Price to Earnings (2015 - 2022) Analysis & Trends
For FY2021, Babcock & Wilcox Enterprises' Price to Earnings was 35.76.
- The five-year range for quarterly Price to Earnings is 26.76 (Q2 2021) to 1149.32 (Q3 2021).
- Business Quant data shows BW's Price to Earnings at 27.90 (Q1 2022), 35.76 (Q4 2021) and 1149.32 (Q3 2021) in the three quarters before Q2 2022.
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, 2022 | 29.64 |
| Mar 31, 2022 | 27.90 |
| Dec 31, 2021 | 35.76 |
| Sep 30, 2021 | 1,149.32 |
| Jun 30, 2021 | 26.76 |
| Mar 31, 2021 | 141.23 |
| Mar 31, 2016 | 63.95 |
| Dec 31, 2015 | 56.69 |
API Access
Babcock & Wilcox Enterprises Price to Earnings 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-earnings&ticker=BW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();