GE Vernova (GEV) Price to Sales (2024 - 2026)
GE Vernova's (GEV) Price to Sales was 5.71 for Q3 2026, up 28.9% from 4.43 a year earlier but down 24.5% from the prior quarter.
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Analysis
GE Vernova (GEV) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Price to Sales at GE Vernova was 4.63, up 78.1% from FY2024.
- By year, Price to Sales came in at 2.60 in FY2024.
- Five-year quarterly Price to Sales spans a low of 1.11 in Q1 2024 and a high of 7.56 in Q2 2026.
- Year over year, Price to Sales has now increased in each of the last seven quarters, with growth averaging 109.0% over the last seven quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at 7.56 (Q2 2026), 5.96 (Q1 2026) and 4.63 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn |
| 10 | Enphase Energy | 3.45 Bn | -863.96 Mn | 127.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.71 |
| Jun 30, 2026 | 7.56 |
| Mar 31, 2026 | 5.96 |
| Dec 31, 2025 | 4.63 |
| Sep 30, 2025 | 4.43 |
| Jun 30, 2025 | 3.93 |
| Mar 31, 2025 | 2.33 |
| Dec 31, 2024 | 2.60 |
| Sep 30, 2024 | 2.04 |
| Jun 30, 2024 | 1.40 |
| Mar 31, 2024 | 1.11 |
API Access
GE Vernova Price to Sales 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-sales&ticker=GEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();