General Mills (GIS) Retained Earnings (2009 - 2026)
General Mills' Retained Earnings was $20.58 billion in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 9.7% from $22.79 billion a year earlier but up 0.3% from the prior quarter.
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Analysis
General Mills (GIS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Retained Earnings at General Mills came in at $20.51 billion, down 6.4% from FY2025.
- Retained Earnings shows a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $21.92 billion in FY2025 (+4.5%), $20.97 billion in FY2024 (+5.7%), $19.84 billion in FY2023 (+7.0%) and $18.53 billion in FY2022 (+8.6%).
- Quarterly Retained Earnings has moved between $17.36 billion (fiscal Q2 2022) and $22.79 billion (fiscal Q1 2026) over five years.
- Compared with a year earlier, Retained Earnings was higher in six of the last eight quarters, with growth averaging 2.2%.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q1 2023 (growth of 9.5%); the worst was fiscal Q1 2027 (a decline of 9.7%).
- Per Business Quant data, GIS's Retained Earnings in the three fiscal quarters before Q1 2027 was $20.51 billion (Q4 2026), $22.53 billion (Q3 2026) and $22.55 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 37.23 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 5.81 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -9.29 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 20.58 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 4.84 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 103.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 7.43 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | -1.18 Bn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 4.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 20.58 Bn |
| May 31, 2026 | 20.51 Bn |
| Feb 22, 2026 | 22.53 Bn |
| Nov 23, 2025 | 22.55 Bn |
| Aug 24, 2025 | 22.79 Bn |
| May 25, 2025 | 21.92 Bn |
| Feb 23, 2025 | 21.64 Bn |
| Nov 24, 2024 | 21.34 Bn |
| Aug 25, 2024 | 21.21 Bn |
| May 26, 2024 | 20.97 Bn |
| Feb 25, 2024 | 20.42 Bn |
| Nov 26, 2023 | 20.08 Bn |
| Aug 27, 2023 | 20.16 Bn |
| May 28, 2023 | 19.84 Bn |
| Feb 26, 2023 | 19.23 Bn |
| Nov 27, 2022 | 18.99 Bn |
| Aug 28, 2022 | 19.03 Bn |
| May 29, 2022 | 18.53 Bn |
| Feb 27, 2022 | 17.71 Bn |
| Nov 28, 2021 | 17.36 Bn |
API Access
General Mills Retained Earnings 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=retained-earnings&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();