General Mills (GIS) EBITDA Margin (2009 - 2026)
General Mills' EBITDA Margin was 17.62% in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 23.65 percentage points from 41.27% a year earlier but up 60.00 percentage points from the prior quarter.
General Mills (GIS) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' EBITDA Margin was 1.91% through Aug 30, 2026, down 22.82 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at 7.82%, down 11.90 percentage points from FY2025.
- EBITDA Margin shows a five-year change of -12.84 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was 19.73% in FY2025 (-0.34 pp), 20.07% in FY2024 (+0.26 pp), 19.81% in FY2023 (-1.49 pp) and 21.30% in FY2022 (+0.64 pp).
- Quarterly EBITDA Margin has moved between -42.38% (fiscal Q4 2026) and 41.27% (fiscal Q1 2026) over five years.
- Compared with a year earlier, EBITDA Margin has declined for four straight quarters, with an average year-over-year change of -8.82 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q1 2026 (a gain of 21.24 percentage points); the worst was fiscal Q4 2026 (a drop of 56.42 percentage points).
- Per Business Quant data, GIS's EBITDA Margin in the three fiscal quarters before Q1 2027 was -42.38% (Q4 2026), 14.97% (Q3 2026) and 17.82% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 24.54% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 27.94% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -98.53% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 17.62% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 18.07% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 28.80% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.99% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.95% |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 17.62% |
| May 31, 2026 | -42.38% |
| Feb 22, 2026 | 14.97% |
| Nov 23, 2025 | 17.82% |
| Aug 24, 2025 | 41.27% |
| May 25, 2025 | 14.04% |
| Feb 23, 2025 | 21.18% |
| Nov 24, 2024 | 23.04% |
| Aug 25, 2024 | 20.03% |
| May 26, 2024 | 19.51% |
| Feb 25, 2024 | 20.73% |
| Nov 26, 2023 | 18.30% |
| Aug 27, 2023 | 21.76% |
| May 28, 2023 | 18.96% |
| Feb 26, 2023 | 16.92% |
| Nov 27, 2022 | 17.99% |
| Aug 28, 2022 | 25.86% |
| May 29, 2022 | 23.63% |
| Feb 27, 2022 | 21.13% |
| Nov 28, 2021 | 18.73% |
General Mills EBITDA 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=ebitda-margin&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();