EnerSys (ENS) Change in Accrued Expenses (2009 - 2026)
EnerSys' Change in Accrued Expenses was $10.46 million in fiscal Q2 2027 (quarter ended Oct 4, 2026), down 38.7% from $17.06 million a year earlier.
EnerSys (ENS) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, EnerSys' Change in Accrued Expenses was $48.83 million through Oct 4, 2026, down 58.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $54.96 million, up 1.1% from FY2025.
- Change in Accrued Expenses shows a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accrued 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 Accrued 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 Accrued Expenses over five years was fiscal Q2 2023 (growth of 574.9%); the worst was fiscal Q2 2024 (a decline of 88.1%).
- Per Business Quant data, ENS's Change in Accrued Expenses in the three fiscal quarters before Q2 2027 was -$37.98 million (Q1 2027), $45.77 million (Q4 2026) and $30.58 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 573.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | - |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 18.86 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 16.05 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 133.84 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 37.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 10.46 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 9.50 Mn |
| 10 | Enphase Energy | 3.45 Bn | -863.96 Mn | 127.12 Mn | -48.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 10.46 Mn |
| 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 |
EnerSys Change in Accrued 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_KEY
import 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();