EnerSys (ENS) Accumulated Expenses (2009 - 2026)
EnerSys (ENS) posted Accumulated Expenses of $400.72 million for fiscal Q2 2027 (quarter ended Oct 4, 2026), up 6.2% from $377.47 million a year earlier and up 0.6% from the prior quarter.
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Analysis
EnerSys (ENS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), EnerSys' Accumulated Expenses came in at $420.65 million, up 23.5% from FY2025.
- Annual Accumulated Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- In prior fiscal years, EnerSys' Accumulated Expenses was $340.61 million in FY2025 (+5.2%), $323.72 million in FY2024 (+4.8%), $308.95 million in FY2023 (+6.6%) and $289.77 million in FY2022 (-9.1%).
- Quarterly Accumulated Expenses has run from a low of $261.35 million in fiscal Q1 2024 to a high of $420.65 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 11 quarters, with growth averaging 14.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2026, with growth of 24.3%; the weakest was fiscal Q4 2022, with a decline of 9.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $398.15 million (Q1 2027), $420.65 million (Q4 2026) and $409.82 million (Q3 2026).
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 |
|---|---|
| Oct 4, 2026 | 400.72 Mn |
| Jul 5, 2026 | 398.15 Mn |
| Mar 31, 2026 | 420.65 Mn |
| Dec 28, 2025 | 409.82 Mn |
| Sep 28, 2025 | 377.47 Mn |
| Jun 29, 2025 | 328.76 Mn |
| Mar 31, 2025 | 340.61 Mn |
| Dec 29, 2024 | 329.65 Mn |
| Sep 29, 2024 | 328.69 Mn |
| Jun 30, 2024 | 301.10 Mn |
| Mar 31, 2024 | 323.72 Mn |
| Dec 31, 2023 | 289.89 Mn |
| Oct 1, 2023 | 311.92 Mn |
| Jul 2, 2023 | 261.35 Mn |
| Mar 31, 2023 | 308.95 Mn |
| Jan 1, 2023 | 292.69 Mn |
| Oct 2, 2022 | 292.97 Mn |
| Jul 3, 2022 | 266.46 Mn |
| Mar 31, 2022 | 289.77 Mn |
| Jan 2, 2022 | 270.97 Mn |
API Access
EnerSys Accumulated 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=accumulated-expenses&ticker=ENS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();