EnerSys (ENS) Return on Capital Employed [ROCE] (2009 - 2026)
EnerSys (ENS) posted Return on Capital Employed [ROCE] of 16.98% for fiscal Q2 2027 (quarter ended Oct 4, 2026), up 3.33 percentage points from 13.64% a year earlier and up 1.71 percentage points from the prior quarter.
EnerSys (ENS) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), EnerSys' Return on Capital Employed [ROCE] came in at 13.40%, down 2.39 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +5.40 percentage points (FY2021 to FY2026).
- In prior fiscal years, EnerSys' Return on Capital Employed [ROCE] was 15.79% in FY2025 (+3.31 pp), 12.48% in FY2024 (+3.07 pp), 9.41% in FY2023 (+2.20 pp) and 7.21% in FY2022 (-0.79 pp).
- The fiscal Q2 2027 figure stands as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2014.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in six of the last eight quarters, with an average year-over-year change of +1.08 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was fiscal Q2 2024, with a gain of 5.81 percentage points; the weakest was fiscal Q1 2023, with a drop of 1.47 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior fiscal quarters was 15.27% (Q1 2027), 13.24% (Q4 2026) and 13.22% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 13.43% |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 12.05% |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 16.24% |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 23.66% |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 12.27% |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 10.55% |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 10.44% |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 16.98% |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 2.00% |
| 10 | Enphase Energy | 3.45 Bn | -863.96 Mn | 127.12 Mn | 2.08% |
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 16.98% |
| Jul 5, 2026 | 15.27% |
| Mar 31, 2026 | 13.24% |
| Dec 28, 2025 | 13.22% |
| Sep 28, 2025 | 13.64% |
| Jun 29, 2025 | 13.85% |
| Mar 31, 2025 | 14.41% |
| Dec 29, 2024 | 12.63% |
| Sep 29, 2024 | 11.90% |
| Jun 30, 2024 | 12.51% |
| Mar 31, 2024 | 12.74% |
| Dec 31, 2023 | 12.91% |
| Oct 1, 2023 | 12.48% |
| Jul 2, 2023 | 10.90% |
| Mar 31, 2023 | 9.69% |
| Jan 1, 2023 | 7.77% |
| Oct 2, 2022 | 6.67% |
| Jul 3, 2022 | 6.36% |
| Mar 31, 2022 | 7.05% |
| Jan 2, 2022 | 7.28% |
EnerSys Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ENS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ENS", "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-capital-employed-%5Broce%5D&ticker=ENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();