EnerSys (ENS) EBITDA (2009 - 2026)
EnerSys (ENS) recorded EBITDA of $181.91 million in fiscal Q1 2027 (quarter ended Jul 5, 2026), up 60.5% from $113.37 million a year earlier and up 19.1% from the prior quarter.
EnerSys (ENS) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, EnerSys' EBITDA came in at $608.55 million as of Jul 5, 2026, up 7.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $540.02 million, down 4.5% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 11.7% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $565.56 million in FY2025 (+27.5%), $443.59 million in FY2024 (+20.0%), $369.51 million in FY2023 (+22.3%) and $302.13 million in FY2022 (-2.7%).
- The fiscal Q1 2027 figure is the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 19.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 72.8% in fiscal Q4 2023, against a decline of 13.6% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $152.7 million (Q4 2026), $153.92 million (Q3 2026) and $120.03 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 1.07 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 195.98 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 598.23 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 145.50 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 299.66 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 199.67 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 181.91 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 71.72 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 56.70 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | -63.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 181.91 Mn |
| Mar 31, 2026 | 152.70 Mn |
| Dec 28, 2025 | 153.92 Mn |
| Sep 28, 2025 | 120.03 Mn |
| Jun 29, 2025 | 113.37 Mn |
| Mar 31, 2025 | 157.82 Mn |
| Dec 29, 2024 | 168.27 Mn |
| Sep 29, 2024 | 124.59 Mn |
| Jun 30, 2024 | 114.88 Mn |
| Mar 31, 2024 | 104.63 Mn |
| Dec 31, 2023 | 115.69 Mn |
| Oct 1, 2023 | 111.14 Mn |
| Jul 2, 2023 | 112.14 Mn |
| Mar 31, 2023 | 117.59 Mn |
| Jan 1, 2023 | 101.12 Mn |
| Oct 2, 2022 | 77.05 Mn |
| Jul 3, 2022 | 73.75 Mn |
| Mar 31, 2022 | 68.05 Mn |
| Jan 2, 2022 | 75.15 Mn |
| Oct 3, 2021 | 73.60 Mn |
EnerSys EBITDA 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=ebitda&ticker=ENS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();