General Mills (GIS) Dividend Coverage Ratio (2025 - 2026)
General Mills' Dividend Coverage Ratio was 1.20 in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 67.0% from 3.64 a year earlier.
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Analysis
General Mills (GIS) Dividend Coverage Ratio (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' Dividend Coverage Ratio was -0.68 through Aug 30, 2026; for FY2026 (ended May 31, 2026), it came in at -0.07.
- In earlier fiscal years, Dividend Coverage Ratio was 1.71 in FY2025 (-6.4%) and 1.83 in FY2024.
- Quarterly Dividend Coverage Ratio has moved between -6.12 (fiscal Q4 2026) and 3.64 (fiscal Q1 2026) over five years.
- Per Business Quant data, GIS's Dividend Coverage Ratio in the three fiscal quarters before Q1 2027 was -6.12 (Q4 2026), 0.92 (Q3 2026) and 1.26 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.60 |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 1.20 |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.78 |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 1.16 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 0.37 |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 1.20 |
| May 31, 2026 | -6.12 |
| Feb 22, 2026 | 0.92 |
| Nov 23, 2025 | 1.26 |
| Aug 24, 2025 | 3.64 |
| May 25, 2025 | 0.89 |
| Feb 23, 2025 | 1.88 |
API Access
General Mills Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();