EnerSys (ENS) Operating Expenses (2009 - 2026)
EnerSys (ENS) posted Operating Expenses of $151.24 million for fiscal Q1 2027 (quarter ended Jul 5, 2026), down 6.0% from $160.89 million a year earlier but up 667.0% from the prior quarter.
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Analysis
EnerSys (ENS) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Operating Expenses at EnerSys was $482.79 million, up 2.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $50.94 million, up 253.0% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In prior fiscal years, EnerSys' Operating Expenses was $14.43 million in FY2025 (-48.7%), $28.1 million in FY2024 (+71.0%), $16.44 million in FY2023 (-12.4%) and $18.76 million in FY2022 (-53.5%).
- Quarterly Operating Expenses has run from a low of $4.05 million in fiscal Q4 2023 to a high of $164.03 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 34.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2026, with growth of 290.2%; the weakest was fiscal Q4 2022, with a decline of 72.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $19.72 million (Q4 2026), $147.81 million (Q3 2026) and $164.03 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | 45.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 151.24 Mn |
| Mar 31, 2026 | 19.72 Mn |
| Dec 28, 2025 | 147.81 Mn |
| Sep 28, 2025 | 164.03 Mn |
| Jun 29, 2025 | 160.89 Mn |
| Mar 31, 2025 | 5.05 Mn |
| Dec 29, 2024 | 154.31 Mn |
| Sep 29, 2024 | 150.54 Mn |
| Jun 30, 2024 | 141.10 Mn |
| Mar 31, 2024 | 8.49 Mn |
| Dec 31, 2023 | 143.96 Mn |
| Oct 1, 2023 | 143.77 Mn |
| Jul 2, 2023 | 144.55 Mn |
| Mar 31, 2023 | 4.05 Mn |
| Jan 1, 2023 | 134.32 Mn |
| Oct 2, 2022 | 137.36 Mn |
| Jul 3, 2022 | 127.08 Mn |
| Mar 31, 2022 | 5.60 Mn |
| Jan 2, 2022 | 130.70 Mn |
| Oct 3, 2021 | 125.31 Mn |
API Access
EnerSys Operating Expenses 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=operating-expenses&ticker=ENS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();