General Mills (GIS) Receivables (2009 - 2026)
General Mills' Receivables came in at $1.78 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 1.6% from $1.8 billion a year earlier and down 6.1% from the prior quarter.
General Mills (GIS) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), General Mills' Receivables was $1.89 billion, down 2.4% from FY2025.
- Receivables carries a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $1.94 billion in FY2025 (+1.0%), $1.92 billion in FY2024 (-2.6%), $1.97 billion in FY2023 (+5.0%) and $1.87 billion in FY2022 (+5.5%).
- The fiscal Q1 2027 figure represents the lowest quarterly Receivables since fiscal Q3 2024.
- Year-over-year, Receivables increased in five of the last eight quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Receivables over five years came in fiscal Q2 2026 (growth of 6.2%), and the weakest in fiscal Q2 2024 (a decline of 4.1%).
- Business Quant data shows GIS's Receivables at $1.89 billion (Q4 2026), $1.86 billion (Q3 2026) and $1.89 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 11.65 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 1.78 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 615.70 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 831.50 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.00 Bn | 266.50 Mn | 787.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 1.78 Bn |
| May 31, 2026 | 1.89 Bn |
| Feb 22, 2026 | 1.86 Bn |
| Nov 23, 2025 | 1.89 Bn |
| Aug 24, 2025 | 1.80 Bn |
| May 25, 2025 | 1.94 Bn |
| Feb 23, 2025 | 1.79 Bn |
| Nov 24, 2024 | 1.78 Bn |
| Aug 25, 2024 | 1.84 Bn |
| May 26, 2024 | 1.92 Bn |
| Feb 25, 2024 | 1.77 Bn |
| Nov 26, 2023 | 1.76 Bn |
| Aug 27, 2023 | 1.79 Bn |
| May 28, 2023 | 1.97 Bn |
| Feb 26, 2023 | 1.77 Bn |
| Nov 27, 2022 | 1.83 Bn |
| Aug 28, 2022 | 1.73 Bn |
| May 29, 2022 | 1.87 Bn |
| Feb 27, 2022 | 1.75 Bn |
| Nov 28, 2021 | 1.77 Bn |
General Mills Receivables 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&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();