Enerpac Tool (EPAC) Total Liabilities (2010 - 2026)
Enerpac Tool (EPAC) posted Total Liabilities of $405.5 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 2.9% from $394.17 million a year earlier and up 4.6% from the prior quarter.
Enerpac Tool (EPAC) Total Liabilities (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Enerpac Tool has reported Total Liabilities for 65 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- In prior fiscal years, Enerpac Tool's Total Liabilities was $394.17 million in FY2025 (+2.3%), $385.35 million in FY2024 (-11.6%), $435.98 million in FY2023 (-0.6%) and $438.7 million in FY2022 (+7.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q2 2024.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with an average decline of 2.0%.
- 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 $387.52 million (Q3 2026), $387.96 million (Q2 2026) and $387.01 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Enerpac Tool | 2.10 Bn | 2.10 Bn | 87.42 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();