General Mills (GIS) Receivables - Other (2010 - 2026)
General Mills' Receivables - Other came in at $243.2 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 72.2% from $141.2 million a year earlier.
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Analysis
General Mills (GIS) Receivables - Other (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, General Mills' Receivables - Other data covers 17 quarters.
- Receivables - Other carries a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- Going back by fiscal year, Receivables - Other was $141.2 million in FY2025 (-36.3%), $221.6 million in FY2024 (-22.4%), $285.7 million in FY2023 (+56.3%) and $182.8 million in FY2022 (+31.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Receivables - Other since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 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 |
|---|---|
| May 31, 2026 | 243.20 Mn |
| May 25, 2025 | 141.20 Mn |
| May 26, 2024 | 221.60 Mn |
| May 28, 2023 | 285.70 Mn |
| May 29, 2022 | 182.80 Mn |
| May 30, 2021 | 139.10 Mn |
| May 31, 2020 | 85.20 Mn |
| May 26, 2019 | 250.20 Mn |
| May 27, 2018 | 174.40 Mn |
| May 28, 2017 | 163.70 Mn |
| May 29, 2016 | 159.30 Mn |
| May 31, 2015 | 148.80 Mn |
| May 25, 2014 | 153.90 Mn |
| May 26, 2013 | 193.10 Mn |
| May 27, 2012 | 103.80 Mn |
| May 29, 2011 | 104.70 Mn |
| May 30, 2010 | 101.40 Mn |
API Access
General Mills Receivables - Other 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=receivables-other&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();