General Mills (GIS) Gross Margin (2009 - 2026)
General Mills' Gross Margin was 33.88% in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 0.05 percentage points from 33.93% a year earlier and down 0.91 percentage points from the prior quarter.
General Mills (GIS) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' Gross Margin was 33.61% through Aug 30, 2026, down 0.72 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at 33.63%, down 0.92 percentage points from FY2025.
- Gross Margin shows a five-year change of -1.95 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 34.55% in FY2025 (-0.36 pp), 34.91% in FY2024 (+2.33 pp), 32.58% in FY2023 (-1.13 pp) and 33.71% in FY2022 (-1.86 pp).
- Quarterly Gross Margin has moved between 30.69% (fiscal Q1 2023) and 36.85% (fiscal Q2 2025) over five years.
- Compared with a year earlier, Gross Margin was higher in three of the last eight quarters, with an average year-over-year change of -0.52 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q1 2024 (a gain of 5.41 percentage points); the worst was fiscal Q1 2023 (a drop of 4.50 percentage points).
- Per Business Quant data, GIS's Gross Margin in the three fiscal quarters before Q1 2027 was 34.79% (Q4 2026), 30.81% (Q3 2026) and 34.82% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 42.61% |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 45.32% |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 32.39% |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 33.88% |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 40.18% |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 44.14% |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 15.92% |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 30.36% |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 24.43% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 33.88% |
| May 31, 2026 | 34.79% |
| Feb 22, 2026 | 30.81% |
| Nov 23, 2025 | 34.82% |
| Aug 24, 2025 | 33.93% |
| May 25, 2025 | 32.35% |
| Feb 23, 2025 | 33.85% |
| Nov 24, 2024 | 36.85% |
| Aug 25, 2024 | 34.83% |
| May 26, 2024 | 35.82% |
| Feb 25, 2024 | 33.48% |
| Nov 26, 2023 | 34.36% |
| Aug 27, 2023 | 36.10% |
| May 28, 2023 | 34.36% |
| Feb 26, 2023 | 32.48% |
| Nov 27, 2022 | 32.66% |
| Aug 28, 2022 | 30.69% |
| May 29, 2022 | 36.19% |
| Feb 27, 2022 | 30.93% |
| Nov 28, 2021 | 32.47% |
General Mills Gross 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=gross-margin&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();