General Mills (GIS) Cost of Revenue (2009 - 2026)
General Mills (GIS) posted Cost of Revenue of $2.9 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 2.8% from $2.98 billion a year earlier and down 3.5% from the prior quarter.
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Analysis
General Mills (GIS) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 30, 2026, Cost of Revenue at General Mills was $12.15 billion, down 3.4% year-over-year; for FY2026 (ended May 31, 2026), it was $12.23 billion, down 4.1% from FY2025.
- Annual Cost of Revenue has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- In prior fiscal years, General Mills' Cost of Revenue was $12.75 billion in FY2025 (-1.3%), $12.93 billion in FY2024 (-4.6%), $13.55 billion in FY2023 (+7.6%) and $12.59 billion in FY2022 (+7.8%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Cost of Revenue since fiscal Q1 2021.
- On a year-over-year basis, Cost of Revenue has declined in each of the last five quarters, with an average decline of 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q2 2022, with growth of 13.2%; the weakest was fiscal Q4 2024, with a decline of 8.4%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $3.01 billion (Q4 2026), $3.07 billion (Q3 2026) and $3.17 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 1.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 2.90 Bn |
| May 31, 2026 | 3.01 Bn |
| Feb 22, 2026 | 3.07 Bn |
| Nov 23, 2025 | 3.17 Bn |
| Aug 24, 2025 | 2.98 Bn |
| May 25, 2025 | 3.08 Bn |
| Feb 23, 2025 | 3.20 Bn |
| Nov 24, 2024 | 3.31 Bn |
| Aug 25, 2024 | 3.16 Bn |
| May 26, 2024 | 3.03 Bn |
| Feb 25, 2024 | 3.39 Bn |
| Nov 26, 2023 | 3.37 Bn |
| Aug 27, 2023 | 3.13 Bn |
| May 28, 2023 | 3.30 Bn |
| Feb 26, 2023 | 3.46 Bn |
| Nov 27, 2022 | 3.52 Bn |
| Aug 28, 2022 | 3.27 Bn |
| May 29, 2022 | 3.12 Bn |
| Feb 27, 2022 | 3.13 Bn |
| Nov 28, 2021 | 3.39 Bn |
API Access
General Mills Cost of Revenue 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=cost-of-revenue&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();