General Mills (GIS) Dividends payables (2012 - 2022)
General Mills' Dividends payables was $25.3 million in fiscal Q4 2022 (quarter ended May 29, 2022), up 5.0% from $24.1 million a year earlier.
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Analysis
General Mills (GIS) Dividends payables (2012 - 2022) Analysis & Trends
From fiscal Q4 2012 onward, General Mills has reported Dividends payables for 11 quarters.
- Dividends payables has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.3% (FY2017 to FY2022).
- In earlier fiscal years, Dividends payables was $24.1 million in FY2021 (+16.4%), $20.7 million in FY2020 (+7.8%), $19.2 million in FY2019 (+9.7%) and $17.5 million in FY2018 (-18.6%).
- The fiscal Q4 2022 figure marks the highest quarterly Dividends payables since fiscal Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | - |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 29, 2022 | 25.30 Mn |
| May 30, 2021 | 24.10 Mn |
| May 31, 2020 | 20.70 Mn |
| May 26, 2019 | 19.20 Mn |
| May 27, 2018 | 17.50 Mn |
| May 28, 2017 | 21.50 Mn |
| May 29, 2016 | 23.80 Mn |
| May 31, 2015 | 27.90 Mn |
| May 25, 2014 | 33.50 Mn |
| May 26, 2013 | 279.60 Mn |
| May 27, 2012 | 24.50 Mn |
API Access
General Mills Dividends payables 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=dividends-payables&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();