Artisan Consumer Goods (ARRT) Accumulated Expenses (2016 - 2026)
Artisan Consumer Goods (ARRT) posted Accumulated Expenses of $46,964 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.3% from $47,099 a year earlier but up 0.8% from the prior quarter.
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Analysis
Artisan Consumer Goods (ARRT) Accumulated Expenses (2016 - 2026) Analysis & Trends
Since fiscal Q1 2017, Artisan Consumer Goods has reported Accumulated Expenses for 40 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- In prior fiscal years, Artisan Consumer Goods' Accumulated Expenses was $47,099 in FY2025 (+1.6%), $46,358 in FY2024 (-3.9%), $48,257 in FY2023 (-0.1%) and $48,286 in FY2022 (unchanged).
- Quarterly Accumulated Expenses has run from a low of $42,856 in fiscal Q1 2025 to a high of $48,400 in fiscal Q2 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 0.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 113.3%; the weakest was fiscal Q1 2025, with a decline of 11.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $46,614 (Q3 2026), $47,426 (Q2 2026) and $47,529 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46,964.00 |
| Mar 31, 2026 | 46,614.00 |
| Dec 31, 2025 | 47,426.00 |
| Sep 30, 2025 | 47,529.00 |
| Jun 30, 2025 | 47,099.00 |
| Mar 31, 2025 | 46,383.00 |
| Dec 31, 2024 | 43,286.00 |
| Sep 30, 2024 | 42,856.00 |
| Jun 30, 2024 | 46,358.00 |
| Mar 31, 2024 | 48,043.00 |
| Dec 31, 2023 | 48,257.00 |
| Sep 30, 2023 | 48,257.00 |
| Jun 30, 2023 | 48,257.00 |
| Mar 31, 2023 | 48,250.00 |
| Dec 31, 2022 | 48,271.00 |
| Sep 30, 2022 | 48,271.00 |
| Jun 30, 2022 | 48,286.00 |
| Mar 31, 2022 | 48,250.00 |
| Dec 31, 2021 | 48,400.00 |
| Sep 30, 2021 | 45,714.00 |
API Access
Artisan Consumer Goods Accumulated Expenses 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=accumulated-expenses&ticker=ARRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();