Artisan Consumer Goods (ARRT) Total Liabilities (2011 - 2026)
Artisan Consumer Goods (ARRT) recorded Total Liabilities of $371,705 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.4% from $336,615 a year earlier and up 3.6% from the prior quarter.
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Analysis
Artisan Consumer Goods (ARRT) Total Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Artisan Consumer Goods' Total Liabilities history includes 55 quarters.
- Annual Total Liabilities has increased for nine straight fiscal years, with a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $336,615 in FY2025 (+19.9%), $280,718 in FY2024 (+5.4%), $266,445 in FY2023 (+7.4%) and $248,187 in FY2022 (+35.5%).
- The fiscal Q4 2026 figure is the highest quarterly Total Liabilities since fiscal Q4 2016.
- On a year-over-year basis, Total Liabilities has increased for 23 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 1.5% in fiscal Q1 2025 to 51.8% in fiscal Q1 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $358,755 (Q3 2026), $356,915 (Q2 2026) and $354,144 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - | 371,705.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371,705.00 |
| Mar 31, 2026 | 358,755.00 |
| Dec 31, 2025 | 356,915.00 |
| Sep 30, 2025 | 354,144.00 |
| Jun 30, 2025 | 336,615.00 |
| Mar 31, 2025 | 326,440.00 |
| Dec 31, 2024 | 289,731.00 |
| Sep 30, 2024 | 288,543.00 |
| Jun 30, 2024 | 280,718.00 |
| Mar 31, 2024 | 289,027.00 |
| Dec 31, 2023 | 282,471.00 |
| Sep 30, 2023 | 284,395.00 |
| Jun 30, 2023 | 266,445.00 |
| Mar 31, 2023 | 263,884.00 |
| Dec 31, 2022 | 262,164.00 |
| Sep 30, 2022 | 257,679.00 |
| Jun 30, 2022 | 248,187.00 |
| Mar 31, 2022 | 232,003.00 |
| Dec 31, 2021 | 232,125.00 |
| Sep 30, 2021 | 234,556.00 |
API Access
Artisan Consumer Goods 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=ARRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ARRT", "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=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();