General Mills (GIS) Operating Income (2009 - 2026)
General Mills (GIS) recorded Operating Income of $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) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, General Mills' Operating Income came in at -$206.4 million as of Aug 30, 2026; for FY2026 (ended May 31, 2026), it was $885.8 million, down 73.2% from FY2025.
- Annual Operating Income has declined for four straight fiscal years, with a five-year compound annual growth rate of -22.4% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Income came in at $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 Operating Income has ranged from -$2.09 billion in fiscal Q4 2026 to $1.73 billion in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Operating Income rose in two of the last seven quarters, with an average decline of 4.9%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 107.6% in fiscal Q1 2026, against a decline of 63.3% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$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) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 633.60 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 511.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 276.40 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 268.40 Mn |
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 Operating Income 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-income&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();