General Mills (GIS) Divestments (2009 - 2026)
General Mills (GIS) recorded Divestments of $1.83 billion in FY2026 (year ended May 31, 2026), up 656.9% from $241.8 million in FY2025.
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Analysis
General Mills (GIS) Divestments (2009 - 2026) Analysis & Trends
Starting with FY2009, General Mills' Divestments history includes 11 fiscal years.
- Annual Divestments has a five-year compound annual growth rate of 263.1% (FY2021 to FY2026).
- The FY2026 figure is the highest annual Divestments in data going back to FY2009.
- Per Business Quant data, GIS's Divestments was $241.8 million in FY2025, $633.1 million in FY2023 (+754.4%) and $74.1 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.78 Bn | 97.24 Bn | - | - |
| 2 | Mondelez International | 83.22 Bn | 76.48 Bn | 3.99 Bn | - |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 29.31 Bn | 15.73 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.61 Bn | 16.26 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.10 Bn | 13.89 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.99 Bn | 12.05 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.69 Bn | 8.35 Bn | 471.52 Mn | -2.98 Mn |
| 9 | Chewy | 9.04 Bn | 6.32 Bn | 1.01 Bn | - |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.01 Bn | 266.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 22, 2026 | 26.80 Mn |
| Aug 24, 2025 | 1.80 Bn |
| Feb 23, 2025 | 241.80 Mn |
| Feb 26, 2023 | 22.40 Mn |
| Aug 28, 2022 | 610.70 Mn |
| May 29, 2022 | 28.00 Mn |
| Feb 27, 2022 | 46.10 Mn |
| May 30, 2021 | 2.90 Mn |
| May 26, 2019 | 26.20 Mn |
| Nov 27, 2016 | 17.50 Mn |
| May 29, 2016 | 2.70 Mn |
| Nov 29, 2015 | 822.70 Mn |
| May 25, 2014 | 124.00 Mn |
| May 29, 2011 | 9.50 Mn |
| May 31, 2009 | 244.70 Mn |
| Feb 22, 2009 | -192.50 Mn |
API Access
General Mills Divestments 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=divestments&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();