GE Vernova (GEV) Price to Book (2024 - 2026)
GE Vernova's (GEV) Price to Book was 20.05 for Q3 2026, up 16.9% from 17.15 a year earlier but down 16.0% from the prior quarter.
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Analysis
GE Vernova (GEV) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Price to Book at GE Vernova was 14.33, up 67.2% from FY2024.
- By year, Price to Book came in at 8.57 in FY2024.
- Five-year quarterly Price to Book spans a low of 3.76 in Q1 2024 and a high of 23.86 in Q2 2026.
- Year over year, Price to Book has now increased in each of the last seven quarters, with growth averaging 103.5% over the last seven quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at 23.86 (Q2 2026), 15.57 (Q1 2026) and 14.33 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 210.90 Bn | 163.15 Bn | 3.11 Bn |
| 2 | Bloom Energy | 54.82 Bn | 44.75 Bn | 417.10 Mn |
| 3 | First Solar | 19.45 Bn | 10.82 Bn | 713.06 Mn |
| 4 | Nextpower | 15.04 Bn | 10.75 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.61 Bn | 9.39 Bn | 227.14 Mn |
| 6 | Generac Holdings | 10.72 Bn | 9.45 Bn | 516.04 Mn |
| 7 | Innio | 10.33 Bn | 6.57 Bn | 367.70 Mn |
| 8 | EnerSys | 5.50 Bn | 3.69 Bn | 313.36 Mn |
| 9 | Mirion Technologies | 4.67 Bn | 3.08 Bn | 131.50 Mn |
| 10 | X-Energy | 4.46 Bn | 3.10 Bn | -32.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.05 |
| Jun 30, 2026 | 23.86 |
| Mar 31, 2026 | 15.57 |
| Dec 31, 2025 | 14.33 |
| Sep 30, 2025 | 17.15 |
| Jun 30, 2025 | 14.48 |
| Mar 31, 2025 | 8.61 |
| Dec 31, 2024 | 8.57 |
| Sep 30, 2024 | 6.68 |
| Jun 30, 2024 | 4.69 |
| Mar 31, 2024 | 3.76 |
API Access
GE Vernova 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=GEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "GEV", "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=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();