Enerpac Tool (EPAC) EBITDA (2009 - 2026)
Enerpac Tool (EPAC) reported EBITDA of $45.72 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 29.1% from $35.4 million a year earlier and up 55.7% from the prior quarter.
Enerpac Tool (EPAC) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Enerpac Tool's EBITDA came in at $152.82 million, up 11.0% year-over-year; for FY2025 (ended Aug 31, 2025), it was $149.15 million, up 10.6% from FY2024.
- EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $134.86 million in FY2024 (+34.5%), $100.24 million in FY2023 (+99.4%), $50.26 million in FY2022 (-30.9%) and $72.72 million in FY2021 (+62.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EBITDA since fiscal Q3 2015.
- Year over year, EBITDA gained in four of the last eight quarters, with growth averaging 5.7%.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2023 (growth of 157.5%); the low point was fiscal Q3 2022 (a decline of 59.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $29.36 million (Q2 2026), $32.94 million (Q1 2026) and $44.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Enerpac Tool | 1.79 Bn | 1.28 Bn | 88.78 Mn | 45.72 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 45.72 Mn |
| Feb 28, 2026 | 29.36 Mn |
| Nov 30, 2025 | 32.94 Mn |
| Aug 31, 2025 | 44.81 Mn |
| May 31, 2025 | 35.40 Mn |
| Feb 28, 2025 | 34.29 Mn |
| Nov 30, 2024 | 34.65 Mn |
| Aug 31, 2024 | 33.35 Mn |
| May 31, 2024 | 36.58 Mn |
| Feb 29, 2024 | 32.85 Mn |
| Nov 30, 2023 | 32.09 Mn |
| Aug 31, 2023 | 36.01 Mn |
| May 31, 2023 | 29.52 Mn |
| Feb 28, 2023 | 18.20 Mn |
| Nov 30, 2022 | 16.50 Mn |
| Aug 31, 2022 | 17.74 Mn |
| May 31, 2022 | 11.46 Mn |
| Feb 28, 2022 | 9.47 Mn |
| Nov 30, 2021 | 11.58 Mn |
| Aug 31, 2021 | 18.76 Mn |
Enerpac Tool 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=EPAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "EPAC", "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=EPAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();