General Mills (GIS) Gains from Sales and Divestitures (2009 - 2026)
General Mills (GIS) posted Gains from Sales and Divestitures of $1.05 billion for FY2026 (year ended May 31, 2026), up 994.3% from $95.9 million in FY2025.
Powered by 
Analysis
General Mills (GIS) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
Since FY2009, General Mills has reported Gains from Sales and Divestitures for 11 fiscal years.
- The FY2026 figure stands as the highest annual Gains from Sales and Divestitures in data going back to FY2009.
- Business Quant data shows GIS's Gains from Sales and Divestitures at $95.9 million in FY2025, $444.6 million in FY2023 (+129.1%) and $194.1 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 22, 2026 | -5.00 Mn |
| Aug 24, 2025 | 1.05 Bn |
| Feb 23, 2025 | 95.90 Mn |
| Feb 26, 2023 | 13.70 Mn |
| Aug 28, 2022 | 430.90 Mn |
| May 29, 2022 | 24.00 Mn |
| Feb 27, 2022 | 170.10 Mn |
| May 30, 2021 | -53.50 Mn |
| May 26, 2019 | -5.40 Mn |
| Feb 24, 2019 | -35.40 Mn |
| May 28, 2017 | 7.00 Mn |
| Nov 27, 2016 | -13.50 Mn |
| May 29, 2016 | -52.40 Mn |
| Feb 28, 2016 | 1.50 Mn |
| Nov 29, 2015 | 199.10 Mn |
| May 25, 2014 | 65.50 Mn |
| May 29, 2011 | 3.10 Mn |
| Feb 27, 2011 | 14.30 Mn |
| May 31, 2009 | -43.90 Mn |
API Access
General Mills Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();