Artisan Consumer Goods (ARRT) Total Current Liabilities (2011 - 2026)
Artisan Consumer Goods (ARRT) posted Total Current Liabilities of $371,705 for 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.
Artisan Consumer Goods (ARRT) Total Current Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Artisan Consumer Goods has reported Total Current Liabilities for 57 quarters.
- Annual Total Current Liabilities has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- In prior fiscal years, Artisan Consumer Goods' Total Current Liabilities was $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 stands as the highest quarterly Total Current Liabilities since fiscal Q4 2016.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 23 quarters, with growth averaging 12.9% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 1.5% (fiscal Q1 2025) and 51.8% (fiscal Q1 2022) over the last five years.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $358,755 (Q3 2026), $356,915 (Q2 2026) and $354,144 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 33.00 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 4.42 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - | 371,705.00 |
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 |
Artisan Consumer Goods Total Current 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-current-liabilities&ticker=ARRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();