Arts Way Manufacturing (ARTW) Total Liabilities (2009 - 2026)
Arts Way Manufacturing (ARTW) posted Total Liabilities of $12.51 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 58.3% from $7.9 million a year earlier and up 26.7% from the prior quarter.
Arts Way Manufacturing (ARTW) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Arts Way Manufacturing's Total Liabilities came in at $9.17 million, up 0.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior fiscal years, Arts Way Manufacturing's Total Liabilities was $9.15 million in FY2024 (-28.3%), $12.76 million in FY2023 (-0.3%), $12.8 million in FY2022 (+21.9%) and $10.5 million in FY2021 (+18.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q1 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with an average decline of 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2026, with growth of 58.3%; the weakest was fiscal Q2 2025, with a decline of 39.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $9.87 million (Q2 2026), $11.02 million (Q1 2026) and $9.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Arts Way Manufacturing | 14.79 Mn | 14.77 Mn | 1.66 Mn | 12.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 12.51 Mn |
| May 31, 2026 | 9.87 Mn |
| Feb 28, 2026 | 11.02 Mn |
| Nov 30, 2025 | 9.17 Mn |
| Aug 31, 2025 | 7.90 Mn |
| May 31, 2025 | 7.26 Mn |
| Feb 28, 2025 | 8.92 Mn |
| Nov 30, 2024 | 9.15 Mn |
| Aug 31, 2024 | 12.20 Mn |
| May 31, 2024 | 11.94 Mn |
| Feb 29, 2024 | 13.05 Mn |
| Nov 30, 2023 | 12.76 Mn |
| Aug 31, 2023 | 13.68 Mn |
| May 31, 2023 | 13.60 Mn |
| Feb 28, 2023 | 14.06 Mn |
| Nov 30, 2022 | 12.80 Mn |
| Aug 31, 2022 | 13.84 Mn |
| May 31, 2022 | 13.74 Mn |
| Feb 28, 2022 | 10.87 Mn |
| Nov 30, 2021 | 10.50 Mn |
Arts Way Manufacturing 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=ARTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ARTW", "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=ARTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();