General Mills (GIS) Return on Equity [ROE] (2009 - 2026)
General Mills' Return on Equity [ROE] came in at -12.01% for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 43.39 percentage points from 31.39% a year earlier and down 10.99 percentage points from the prior quarter.
General Mills (GIS) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), General Mills' Return on Equity [ROE] was -1.03%, down 25.62 percentage points from FY2025.
- Return on Equity [ROE] carries a five-year change of -26.92 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Equity [ROE] was 24.59% in FY2025 (-0.16 pp), 24.75% in FY2024 (+0.47 pp), 24.29% in FY2023 (-2.31 pp) and 26.60% in FY2022 (+0.71 pp).
- The fiscal Q1 2027 figure represents the lowest quarterly Return on Equity [ROE] in data going back to fiscal Q1 2010.
- Year-over-year, Return on Equity [ROE] has declined for four consecutive quarters, with an average year-over-year change of -8.07 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in fiscal Q1 2026 (a gain of 6.12 percentage points), and the weakest in fiscal Q1 2027 (a drop of 43.39 percentage points).
- Business Quant data shows GIS's Return on Equity [ROE] at -1.02% (Q4 2026), 23.82% (Q3 2026) and 27.07% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 13.45% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 32.04% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -8.70% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -12.01% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 4.06% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 21.14% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 4.33% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 68.88% |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | -29.88% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -12.01% |
| May 31, 2026 | -1.02% |
| Feb 22, 2026 | 23.82% |
| Nov 23, 2025 | 27.07% |
| Aug 24, 2025 | 31.39% |
| May 25, 2025 | 24.77% |
| Feb 23, 2025 | 27.18% |
| Nov 24, 2024 | 27.63% |
| Aug 25, 2024 | 25.26% |
| May 26, 2024 | 26.05% |
| Feb 25, 2024 | 26.69% |
| Nov 26, 2023 | 24.43% |
| Aug 27, 2023 | 23.25% |
| May 28, 2023 | 24.64% |
| Feb 26, 2023 | 27.00% |
| Nov 27, 2022 | 27.55% |
| Aug 28, 2022 | 27.02% |
| May 29, 2022 | 26.22% |
| Feb 27, 2022 | 23.23% |
| Nov 28, 2021 | 22.74% |
General Mills Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();