EnerSys (ENS) Restructuring Costs (2009 - 2026)
EnerSys (ENS) reported Restructuring Costs of $10.71 million for fiscal Q1 2027 (quarter ended Jul 5, 2026), up 82.7% from $5.86 million a year earlier but down 45.7% from the prior quarter.
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Analysis
EnerSys (ENS) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 5, 2026, EnerSys' Restructuring Costs came in at $55.78 million, up 288.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $50.94 million, up 253.0% from FY2025.
- Restructuring Costs has a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- By fiscal year, Restructuring Costs came in at $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%).
- Five-year quarterly Restructuring Costs spans a low of $801,000 in fiscal Q3 2023 and a high of $21.09 million in fiscal Q2 2026.
- Year over year, Restructuring Costs has now increased in each of the last four quarters, with growth averaging 160.3% over the last eight quarters.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q2 2026 (growth of 848.1%); the low point was fiscal Q3 2022 (a decline of 83.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $19.72 million (Q4 2026), $4.27 million (Q3 2026) and $21.09 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn |
| 10 | Nuscale Power | 3.18 Bn | 3.14 Bn | -152,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 10.71 Mn |
| Mar 31, 2026 | 19.72 Mn |
| Dec 28, 2025 | 4.27 Mn |
| Sep 28, 2025 | 21.09 Mn |
| Jun 29, 2025 | 5.86 Mn |
| Mar 31, 2025 | 5.05 Mn |
| Dec 29, 2024 | 1.21 Mn |
| Sep 29, 2024 | 2.22 Mn |
| Jun 30, 2024 | 5.94 Mn |
| Mar 31, 2024 | 8.49 Mn |
| Dec 31, 2023 | 6.07 Mn |
| Oct 1, 2023 | 7.23 Mn |
| Jul 2, 2023 | 6.31 Mn |
| Mar 31, 2023 | 4.05 Mn |
| Jan 1, 2023 | 801,000.00 |
| Oct 2, 2022 | 3.27 Mn |
| Jul 3, 2022 | 8.33 Mn |
| Mar 31, 2022 | 5.60 Mn |
| Jan 2, 2022 | 2.47 Mn |
| Oct 3, 2021 | 2.86 Mn |
API Access
EnerSys Restructuring Costs 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=restructuring-costs&ticker=ENS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();