Artisan Consumer Goods (ARRT) Return on Assets [ROA] (2015 - 2026)
Artisan Consumer Goods' Return on Assets [ROA] came in at -564.15% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 27.84 percentage points from -591.99% a year earlier and up 180.80 percentage points from the prior quarter.
Artisan Consumer Goods (ARRT) Return on Assets [ROA] (2015 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Artisan Consumer Goods' Return on Assets [ROA] was -379.98%, up 401.74 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of -482.06 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -781.72% in FY2025 (-366.66 pp), -415.06% in FY2024 (-171.01 pp), -244.04% in FY2023 (-40.74 pp) and -203.30% in FY2022 (-305.38 pp).
- The fiscal Q4 2026 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q2 2024.
- Year-over-year, Return on Assets [ROA] has increased for six consecutive quarters, with an average year-over-year change of +50.30 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q4 2025 (a gain of 723.52 percentage points), and the weakest in fiscal Q1 2025 (a drop of 1119.58 percentage points).
- Business Quant data shows ARRT's Return on Assets [ROA] at -744.95% (Q3 2026), -910.42% (Q2 2026) and -688.55% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 8.69% |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 7.77% |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - | -564.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -564.15% |
| Mar 31, 2026 | -744.95% |
| Dec 31, 2025 | -910.42% |
| Sep 30, 2025 | -688.55% |
| Jun 30, 2025 | -591.99% |
| Mar 31, 2025 | -1,221.03% |
| Dec 31, 2024 | -1,202.43% |
| Sep 30, 2024 | -1,343.47% |
| Jun 30, 2024 | -1,315.51% |
| Mar 31, 2024 | -1,425.03% |
| Dec 31, 2023 | -346.07% |
| Sep 30, 2023 | -223.89% |
| Jun 30, 2023 | -609.72% |
| Mar 31, 2023 | -330.29% |
| Dec 31, 2022 | -191.19% |
| Sep 30, 2022 | -150.35% |
| Jun 30, 2022 | -112.79% |
| Mar 31, 2022 | -100.25% |
| Dec 31, 2021 | -92.82% |
| Sep 30, 2021 | -154.90% |
Artisan Consumer Goods Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ARRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();