General Mills (GIS) Accounts Payables (2009 - 2026)
General Mills (GIS) posted Accounts Payables of $3.72 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 0.7% from $3.74 billion a year earlier and down 0.4% from the prior quarter.
General Mills (GIS) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), General Mills' Accounts Payables came in at $3.73 billion, down 7.0% from FY2025.
- Annual Accounts Payables shows a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- In prior fiscal years, General Mills' Accounts Payables was $4.01 billion in FY2025 (+0.5%), $3.99 billion in FY2024 (-4.9%), $4.19 billion in FY2023 (+5.3%) and $3.98 billion in FY2022 (+9.0%).
- Quarterly Accounts Payables has run from a low of $3.45 billion in fiscal Q2 2022 to a high of $4.19 billion in fiscal Q4 2023 over five years.
- On a year-over-year basis, Accounts Payables has declined in each of the last five quarters, with an average decline of 0.7% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q2 2023, with growth of 16.6%; the weakest was fiscal Q4 2026, with a decline of 7.0%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $3.73 billion (Q4 2026), $3.63 billion (Q3 2026) and $3.93 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 22.45 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 9.41 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.40 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 4.48 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 3.72 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 1.21 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 1.52 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 678.00 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 1.17 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 1.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 3.72 Bn |
| May 31, 2026 | 3.73 Bn |
| Feb 22, 2026 | 3.63 Bn |
| Nov 23, 2025 | 3.93 Bn |
| Aug 24, 2025 | 3.74 Bn |
| May 25, 2025 | 4.01 Bn |
| Feb 23, 2025 | 3.69 Bn |
| Nov 24, 2024 | 4.07 Bn |
| Aug 25, 2024 | 3.82 Bn |
| May 26, 2024 | 3.99 Bn |
| Feb 25, 2024 | 3.61 Bn |
| Nov 26, 2023 | 3.82 Bn |
| Aug 27, 2023 | 3.71 Bn |
| May 28, 2023 | 4.19 Bn |
| Feb 26, 2023 | 3.87 Bn |
| Nov 27, 2022 | 4.02 Bn |
| Aug 28, 2022 | 3.79 Bn |
| May 29, 2022 | 3.98 Bn |
| Feb 27, 2022 | 3.47 Bn |
| Nov 28, 2021 | 3.45 Bn |
General Mills Accounts 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=accounts-payables&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();