General Mills (GIS) Return on Assets [ROA] (2009 - 2026)
General Mills (GIS) posted Return on Assets [ROA] of -2.96% for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 11.85 percentage points from 8.90% a year earlier and down 2.68 percentage points from the prior quarter.
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Analysis
General Mills (GIS) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), General Mills' Return on Assets [ROA] came in at -0.27%, down 7.46 percentage points from FY2025.
- Annual Return on Assets [ROA] has declined for four consecutive fiscal years, with a five-year change of -7.76 percentage points (FY2021 to FY2026).
- In prior fiscal years, General Mills' Return on Assets [ROA] was 7.19% in FY2025 (-0.82 pp), 8.01% in FY2024 (-0.34 pp), 8.35% in FY2023 (-0.35 pp) and 8.69% in FY2022 (+1.20 pp).
- The fiscal Q1 2027 figure stands as the lowest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2010.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last four quarters, with an average year-over-year change of -2.56 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q2 2023, with a gain of 2.41 percentage points; the weakest was fiscal Q1 2027, with a drop of 11.85 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -0.27% (Q4 2026), 6.85% (Q3 2026) and 7.78% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 9.75% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 7.77% |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | -10.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -2.96% |
| May 31, 2026 | -0.27% |
| Feb 22, 2026 | 6.85% |
| Nov 23, 2025 | 7.78% |
| Aug 24, 2025 | 8.90% |
| May 25, 2025 | 7.05% |
| Feb 23, 2025 | 7.80% |
| Nov 24, 2024 | 8.05% |
| Aug 25, 2024 | 7.66% |
| May 26, 2024 | 8.08% |
| Feb 25, 2024 | 8.31% |
| Nov 26, 2023 | 7.87% |
| Aug 27, 2023 | 7.86% |
| May 28, 2023 | 8.33% |
| Feb 26, 2023 | 9.01% |
| Nov 27, 2022 | 9.35% |
| Aug 28, 2022 | 9.39% |
| May 29, 2022 | 8.79% |
| Feb 27, 2022 | 7.26% |
| Nov 28, 2021 | 6.94% |
API Access
General Mills 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=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "GIS", "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=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();