Enerpac Tool (EPAC) Operating Expenses (2009 - 2026)
Enerpac Tool's Operating Expenses was $45.82 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 2.5% from $46.99 million a year earlier but up 1.1% from the prior quarter.
Enerpac Tool (EPAC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Enerpac Tool's Operating Expenses was $176.29 million through May 31, 2026, down 0.5% year-over-year; for FY2025 (ended Aug 31, 2025), it was $172.78 million, down 1.8% from FY2024.
- Operating Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $175.97 million in FY2024 (-17.1%), $212.16 million in FY2023 (-5.7%), $225.01 million in FY2022 (+26.6%) and $177.68 million in FY2021 (-5.4%).
- Quarterly Operating Expenses has moved between $41.12 million (fiscal Q2 2024) and $63.61 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 51.2%); the worst was fiscal Q2 2024 (a decline of 25.3%).
- Per Business Quant data, EPAC's Operating Expenses in the three fiscal quarters before Q3 2026 was $45.33 million (Q2 2026), $43.1 million (Q1 2026) and $42.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Enerpac Tool | 1.79 Bn | 1.28 Bn | 88.78 Mn | 45.82 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 45.82 Mn |
| Feb 28, 2026 | 45.33 Mn |
| Nov 30, 2025 | 43.10 Mn |
| Aug 31, 2025 | 42.06 Mn |
| May 31, 2025 | 46.99 Mn |
| Feb 28, 2025 | 41.42 Mn |
| Nov 30, 2024 | 42.32 Mn |
| Aug 31, 2024 | 46.53 Mn |
| May 31, 2024 | 43.70 Mn |
| Feb 29, 2024 | 41.12 Mn |
| Nov 30, 2023 | 44.62 Mn |
| Aug 31, 2023 | 51.82 Mn |
| May 31, 2023 | 51.11 Mn |
| Feb 28, 2023 | 55.05 Mn |
| Nov 30, 2022 | 54.23 Mn |
| Aug 31, 2022 | 57.67 Mn |
| May 31, 2022 | 63.61 Mn |
| Feb 28, 2022 | 52.50 Mn |
| Nov 30, 2021 | 51.21 Mn |
| Aug 31, 2021 | 45.19 Mn |
Enerpac Tool Operating 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=operating-expenses&ticker=EPAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EPAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();