EnerSys (ENS) Change in Accured Expenses (2009 - 2026)
EnerSys' Change in Accured Expenses was -$37.98 million in fiscal Q1 2027 (quarter ended Jul 5, 2026), compared with -$38.45 million a year earlier.
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Analysis
EnerSys (ENS) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, EnerSys' Change in Accured Expenses was $55.43 million through Jul 5, 2026, down 30.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $54.96 million, up 1.1% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $54.39 million in FY2025, -$8.25 million in FY2024, $5.75 million in FY2023 and -$38.58 million in FY2022.
- Quarterly Change in Accured Expenses has moved between -$82.05 million (fiscal Q3 2024) and $118.6 million (fiscal Q4 2024) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q2 2023 (growth of 574.9%); the worst was fiscal Q2 2022 (a decline of 88.4%).
- Per Business Quant data, ENS's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was $45.77 million (Q4 2026), $30.58 million (Q3 2026) and $17.06 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 476.00 Mn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | - |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | 45.29 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | -97.29 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | - |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | -12.60 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | -37.98 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | 2.48 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | -2.30 Mn |
| 10 | Nuscale Power | 3.18 Bn | 3.13 Bn | -152,000.00 | -4.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -37.98 Mn |
| Mar 31, 2026 | 45.77 Mn |
| Dec 28, 2025 | 30.58 Mn |
| Sep 28, 2025 | 17.06 Mn |
| Jun 29, 2025 | -38.45 Mn |
| Mar 31, 2025 | 89.17 Mn |
| Dec 29, 2024 | 49.18 Mn |
| Sep 29, 2024 | -19.71 Mn |
| Jun 30, 2024 | -64.25 Mn |
| Mar 31, 2024 | 118.60 Mn |
| Dec 31, 2023 | -82.05 Mn |
| Oct 1, 2023 | 1.84 Mn |
| Jul 2, 2023 | -46.65 Mn |
| Mar 31, 2023 | 22.90 Mn |
| Jan 1, 2023 | -7.71 Mn |
| Oct 2, 2022 | 15.53 Mn |
| Jul 3, 2022 | -24.97 Mn |
| Mar 31, 2022 | 19.66 Mn |
| Jan 2, 2022 | -10.22 Mn |
| Oct 3, 2021 | 2.30 Mn |
API Access
EnerSys Change in Accured 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=change-in-accured-expenses&ticker=ENS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();