GE Vernova (GEV) Return on Sales [ROS] (2023 - 2026)
GE Vernova (GEV) posted Return on Sales [ROS] of 11.03% for Q3 2026, up 7.36 percentage points from 3.67% a year earlier and up 5.15 percentage points from the prior quarter.
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Analysis
GE Vernova (GEV) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at GE Vernova was 6.42%, up 2.76 percentage points year-over-year; for FY2025, it came in at 3.65%, up 2.30 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a three-year change of +13.36 percentage points (FY2022 to FY2025).
- In prior years, GE Vernova's Return on Sales [ROS] was 1.35% in FY2024 (+4.13 pp), -2.78% in FY2023 (+6.94 pp) and -9.72% in FY2022.
- The Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +2.99 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 10.62 percentage points; the weakest was Q2 2025, with a drop of 2.27 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 5.88% (Q2 2026), 1.92% (Q1 2026) and 5.49% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 210.90 Bn | 163.15 Bn | 3.11 Bn | 11.03% |
| 2 | Bloom Energy | 54.82 Bn | 44.75 Bn | 417.10 Mn | 18.24% |
| 3 | First Solar | 19.45 Bn | 10.82 Bn | 713.06 Mn | 44.37% |
| 4 | Nextpower | 15.04 Bn | 10.75 Bn | 345.32 Mn | 18.71% |
| 5 | BWX Technologies | 11.61 Bn | 9.39 Bn | 227.14 Mn | 13.86% |
| 6 | Generac Holdings | 10.72 Bn | 9.45 Bn | 516.04 Mn | 12.40% |
| 7 | Innio | 10.33 Bn | 6.57 Bn | 367.70 Mn | 16.58% |
| 8 | EnerSys | 5.50 Bn | 3.69 Bn | 313.36 Mn | 16.18% |
| 9 | Mirion Technologies | 4.67 Bn | 3.08 Bn | 131.50 Mn | 6.19% |
| 10 | X-Energy | 4.46 Bn | 3.10 Bn | -32.06 Mn | -201.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.03% |
| Jun 30, 2026 | 5.88% |
| Mar 31, 2026 | 1.92% |
| Dec 31, 2025 | 5.49% |
| Sep 30, 2025 | 3.67% |
| Jun 30, 2025 | 4.15% |
| Mar 31, 2025 | 0.54% |
| Dec 31, 2024 | 5.62% |
| Sep 30, 2024 | -4.03% |
| Jun 30, 2024 | 6.42% |
| Mar 31, 2024 | -3.98% |
| Dec 31, 2023 | 1.94% |
| Sep 30, 2023 | -3.72% |
| Jun 30, 2023 | -4.20% |
| Mar 31, 2023 | -6.87% |
API Access
GE Vernova Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();