General Mills (GIS) Net Margin (2009 - 2026)
General Mills' Net Margin was 9.04% in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 17.61 percentage points from 26.66% a year earlier but up 52.60 percentage points from the prior quarter.
General Mills (GIS) Net Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' Net Margin was -4.89% through Aug 30, 2026, down 20.13 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was -0.48%, down 12.25 percentage points from FY2025.
- Net Margin has now declined for four consecutive fiscal years, with a five-year change of -13.38 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Net Margin was 11.78% in FY2025 (-0.79 pp), 12.57% in FY2024 (-0.34 pp), 12.91% in FY2023 (-1.35 pp) and 14.25% in FY2022 (+1.35 pp).
- Quarterly Net Margin has moved between -43.56% (fiscal Q4 2026) and 26.66% (fiscal Q1 2026) over five years.
- Compared with a year earlier, Net Margin has declined for four straight quarters, with an average year-over-year change of -8.46 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q1 2026 (a gain of 14.69 percentage points); the worst was fiscal Q4 2026 (a drop of 50.01 percentage points).
- Per Business Quant data, GIS's Net Margin in the three fiscal quarters before Q1 2027 was -43.56% (Q4 2026), 6.83% (Q3 2026) and 8.50% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 16.55% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 16.42% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -87.19% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 9.04% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 14.61% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 7.75% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.01% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 2.42% |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 6.71% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 9.04% |
| May 31, 2026 | -43.56% |
| Feb 22, 2026 | 6.83% |
| Nov 23, 2025 | 8.50% |
| Aug 24, 2025 | 26.66% |
| May 25, 2025 | 6.45% |
| Feb 23, 2025 | 12.92% |
| Nov 24, 2024 | 15.18% |
| Aug 25, 2024 | 11.96% |
| May 26, 2024 | 11.83% |
| Feb 25, 2024 | 13.14% |
| Nov 26, 2023 | 11.59% |
| Aug 27, 2023 | 13.73% |
| May 28, 2023 | 12.22% |
| Feb 26, 2023 | 10.79% |
| Nov 27, 2022 | 11.61% |
| Aug 28, 2022 | 17.38% |
| May 29, 2022 | 16.82% |
| Feb 27, 2022 | 14.55% |
| Nov 28, 2021 | 11.89% |
General Mills Net 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=net-margin&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();