General Mills (GIS) Revenue (2009 - 2026)
General Mills (GIS) reported Revenue of $4.39 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 2.8% from $4.52 billion a year earlier and down 4.8% from the prior quarter.
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Analysis
General Mills (GIS) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, General Mills' Revenue came in at $18.3 billion, down 4.5% year-over-year; for FY2026 (ended May 31, 2026), it came in at $18.42 billion, down 5.4% from FY2025.
- Revenue has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $19.49 billion in FY2025 (-1.9%), $19.86 billion in FY2024 (-1.2%), $20.09 billion in FY2023 (+5.8%) and $18.99 billion in FY2022 (+4.8%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Revenue since fiscal Q1 2021.
- Year over year, Revenue gained in two of the last eight quarters, with an average decline of 3.8%.
- The high point for year-over-year Revenue in five years was fiscal Q3 2023 (growth of 13.0%); the low point was fiscal Q3 2026 (a decline of 8.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.61 billion (Q4 2026), $4.44 billion (Q3 2026) and $4.86 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 4.39 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.22 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 1.94 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 2.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 4.39 Bn |
| May 31, 2026 | 4.61 Bn |
| Feb 22, 2026 | 4.44 Bn |
| Nov 23, 2025 | 4.86 Bn |
| Aug 24, 2025 | 4.52 Bn |
| May 25, 2025 | 4.56 Bn |
| Feb 23, 2025 | 4.84 Bn |
| Nov 24, 2024 | 5.24 Bn |
| Aug 25, 2024 | 4.85 Bn |
| May 26, 2024 | 4.71 Bn |
| Feb 25, 2024 | 5.10 Bn |
| Nov 26, 2023 | 5.14 Bn |
| Aug 27, 2023 | 4.90 Bn |
| May 28, 2023 | 5.03 Bn |
| Feb 26, 2023 | 5.13 Bn |
| Nov 27, 2022 | 5.22 Bn |
| Aug 28, 2022 | 4.72 Bn |
| May 29, 2022 | 4.89 Bn |
| Feb 27, 2022 | 4.54 Bn |
| Nov 28, 2021 | 5.02 Bn |
API Access
General Mills 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=revenue&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();