Enerpac Tool (EPAC) Total Liabilities (2010 - 2026)
Enerpac Tool (EPAC) posted Total Liabilities of $387.52 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 0.6% from $389.88 million a year earlier and down 0.1% from the prior quarter.
Enerpac Tool (EPAC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Enerpac Tool's Total Liabilities came in at $394.17 million, up 2.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In prior fiscal years, Enerpac Tool's Total Liabilities was $385.35 million in FY2024 (-11.6%), $435.98 million in FY2023 (-0.6%), $438.7 million in FY2022 (+7.5%) and $408.05 million in FY2021 (-12.3%).
- Quarterly Total Liabilities has run from a low of $370.65 million in fiscal Q2 2025 to a high of $462.98 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2023, with growth of 9.3%; the weakest was fiscal Q3 2024, with a decline of 15.9%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $387.96 million (Q2 2026), $387.01 million (Q1 2026) and $394.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Enerpac Tool | 1.79 Bn | 1.28 Bn | 88.78 Mn | 387.52 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 387.52 Mn |
| Feb 28, 2026 | 387.96 Mn |
| Nov 30, 2025 | 387.01 Mn |
| Aug 31, 2025 | 394.17 Mn |
| May 31, 2025 | 389.88 Mn |
| Feb 28, 2025 | 370.65 Mn |
| Nov 30, 2024 | 377.34 Mn |
| Aug 31, 2024 | 385.35 Mn |
| May 31, 2024 | 383.69 Mn |
| Feb 29, 2024 | 432.36 Mn |
| Nov 30, 2023 | 443.89 Mn |
| Aug 31, 2023 | 435.98 Mn |
| May 31, 2023 | 456.46 Mn |
| Feb 28, 2023 | 432.40 Mn |
| Nov 30, 2022 | 440.08 Mn |
| Aug 31, 2022 | 438.70 Mn |
| May 31, 2022 | 462.98 Mn |
| Feb 28, 2022 | 408.44 Mn |
| Nov 30, 2021 | 402.66 Mn |
| Aug 31, 2021 | 408.05 Mn |
Enerpac Tool Total Liabilities 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=total-liabilities&ticker=EPAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EPAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();