General Mills (GIS) Operating Margin (2009 - 2026)
General Mills' Operating Margin came in at 14.43% for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 23.77 percentage points from 38.20% a year earlier but up 59.83 percentage points from the prior quarter.
General Mills (GIS) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 30, 2026, General Mills reported Operating Margin of -1.13%, down 23.05 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at 4.81%, down 12.15 percentage points from FY2025.
- Operating Margin carries a five-year change of -12.54 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was 16.96% in FY2025 (-0.32 pp), 17.28% in FY2024 (+0.19 pp), 17.09% in FY2023 (-1.21 pp) and 18.30% in FY2022 (+0.95 pp).
- The five-year range for quarterly Operating Margin is -45.40% (fiscal Q4 2026) to 38.20% (fiscal Q1 2026).
- Year-over-year, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of -8.94 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q1 2026 (a gain of 21.05 percentage points), and the weakest in fiscal Q4 2026 (a drop of 56.46 percentage points).
- Business Quant data shows GIS's Operating Margin at -45.40% (Q4 2026), 11.82% (Q3 2026) and 14.98% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 14.43% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 14.27% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 23.05% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.76% |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | -57.54% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 14.43% |
| May 31, 2026 | -45.40% |
| Feb 22, 2026 | 11.82% |
| Nov 23, 2025 | 14.98% |
| Aug 24, 2025 | 38.20% |
| May 25, 2025 | 11.06% |
| Feb 23, 2025 | 18.41% |
| Nov 24, 2024 | 20.57% |
| Aug 25, 2024 | 17.15% |
| May 26, 2024 | 16.53% |
| Feb 25, 2024 | 17.86% |
| Nov 26, 2023 | 15.80% |
| Aug 27, 2023 | 18.96% |
| May 28, 2023 | 16.27% |
| Feb 26, 2023 | 14.25% |
| Nov 27, 2022 | 15.32% |
| Aug 28, 2022 | 23.01% |
| May 29, 2022 | 20.77% |
| Feb 27, 2022 | 17.97% |
| Nov 28, 2021 | 15.93% |
General Mills Operating Margin 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=operating-margin&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();