Arts Way Manufacturing (ARTW) Total Liabilities (2010 - 2026)
Arts Way Manufacturing (ARTW) posted Total Liabilities of $9.87 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 36.1% from $7.26 million a year earlier but down 10.4% from the prior quarter.
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Analysis
Arts Way Manufacturing (ARTW) Total Liabilities (2010 - 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%).
- Quarterly Total Liabilities has run from a low of $7.26 million in fiscal Q2 2025 to a high of $14.06 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with an average decline of 10.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 36.1%; 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 $11.02 million (Q1 2026), $9.17 million (Q4 2025) and $7.9 million (Q3 2025).
Peer Set
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 | Arts Way Manufacturing | 16.23 Mn | 16.21 Mn | 2.03 Mn | 9.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 11.37 Mn |
API Access
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_KEYimport 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();