GE Vernova (GEV) Price to Book (2024 - 2026)
GE Vernova's (GEV) Price to Book was 23.86 for Q2 2026, up 64.8% from 14.48 a year earlier and up 53.2% 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.
- The Q2 2026 figure ranks as the highest quarterly Price to Book in data going back to Q1 2024.
- Year over year, Price to Book has now increased in each of the last six quarters, with growth averaging 117.9% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 15.57 (Q1 2026), 14.33 (Q4 2025) and 17.15 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 262.99 Bn | 224.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.45 Bn | 73.27 Bn | 355.57 Mn |
| 3 | First Solar | 18.50 Bn | 9.45 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.53 Bn | 10.83 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.26 Bn | 11.09 Bn | 521.81 Mn |
| 6 | Nextpower | 12.05 Bn | 7.95 Bn | 335.85 Mn |
| 7 | EnerSys | 6.88 Bn | 5.08 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.34 Bn | -522.59 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn |
| 10 | Nuscale Power | 3.19 Bn | 3.15 Bn | -152,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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();