General Mills (GIS) EBIT (2009 - 2026)
General Mills' EBIT was $633.6 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 63.3% from $1.73 billion a year earlier.
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Analysis
General Mills (GIS) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' EBIT was -$206.4 million through Aug 30, 2026; for FY2026 (ended May 31, 2026), it was $885.8 million, down 73.2% from FY2025.
- EBIT has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -22.4% (FY2021 to FY2026).
- In earlier fiscal years, EBIT was $3.3 billion in FY2025 (-3.7%), $3.43 billion in FY2024 (-0.1%), $3.43 billion in FY2023 (-1.2%) and $3.48 billion in FY2022 (+10.5%).
- Quarterly EBIT has moved between -$2.09 billion (fiscal Q4 2026) and $1.73 billion (fiscal Q1 2026) over five years.
- Compared with a year earlier, EBIT was higher in two of the last seven quarters, with an average decline of 4.9%.
- The best year-over-year quarter for EBIT over five years was fiscal Q1 2026 (growth of 107.6%); the worst was fiscal Q1 2027 (a decline of 63.3%).
- Per Business Quant data, GIS's EBIT in the three fiscal quarters before Q1 2027 was -$2.09 billion (Q4 2026), $524.6 million (Q3 2026) and $728 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 633.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 276.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 511.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | -1.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 633.60 Mn |
| May 31, 2026 | -2.09 Bn |
| Feb 22, 2026 | 524.60 Mn |
| Nov 23, 2025 | 728.00 Mn |
| Aug 24, 2025 | 1.73 Bn |
| May 25, 2025 | 504.00 Mn |
| Feb 23, 2025 | 891.40 Mn |
| Nov 24, 2024 | 1.08 Bn |
| Aug 25, 2024 | 831.50 Mn |
| May 26, 2024 | 779.20 Mn |
| Feb 25, 2024 | 910.70 Mn |
| Nov 26, 2023 | 811.80 Mn |
| Aug 27, 2023 | 930.00 Mn |
| May 28, 2023 | 818.20 Mn |
| Feb 26, 2023 | 730.20 Mn |
| Nov 27, 2022 | 799.80 Mn |
| Aug 28, 2022 | 1.09 Bn |
| May 29, 2022 | 1.02 Bn |
| Feb 27, 2022 | 815.30 Mn |
| Nov 28, 2021 | 800.10 Mn |
API Access
General Mills EBIT 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=ebit&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();