General Mills (GIS) Cost of Revenue (2009 - 2026)
General Mills' (GIS) quarterly Cost of Revenue came in at $3.0 billion in Q2 2026, down 2.47% year-over-year from $3.1 billion in Q2 2025, and down 2.08% quarter-over-quarter from $3.1 billion in Q1 2026.
General Mills (GIS) Cost of Revenue (2009 - 2026) Analysis & Trends
General Mills has disclosed Cost of Revenue across 18 years of filings, most recently posting $3.0 billion for Q2 2026.
- In Q2 2026, Cost of Revenue fell 2.47% year-over-year to $3.0 billion; the TTM figure through May 2026 stood at $12.2 billion (down 4.11% YoY), while the FY2026 annual figure was $12.2 billion, down 4.11% from the prior year.
- Cost of Revenue came in at $3.0 billion for Q2 2026 at General Mills, down from $3.1 billion in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $3.5 billion in Q4 2022 to a low of $3.0 billion in Q3 2025.
- Average Cost of Revenue over 5 years is $3.2 billion, with a median of $3.2 billion recorded in 2024.
- Year-over-year, Cost of Revenue gained 11.13% in 2022 and fell 8.37% in 2024.
- Over 5 years, Cost of Revenue stood at $3.5 billion in 2022, then dropped by 4.04% to $3.4 billion in 2023, then fell by 1.91% to $3.3 billion in 2024, then slipped by 4.25% to $3.2 billion in 2025, then declined by 5.12% to $3.0 billion in 2026.
- Per Business Quant data, the three most recent Cost of Revenue figures were $3.0 billion in Q2 2026, $3.1 billion in Q1 2026, and $3.2 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | 4.23 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | 3.01 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 1.16 Bn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 1.24 Bn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 2.49 Bn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 2.32 Bn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | 2.18 Bn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn | 1.41 Bn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn | 1.72 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 29, 2021 | 2.94 Bn |
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_KEY
import 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();