General Mills (GIS) Income from Continuing Operations (2009 - 2026)
General Mills' Income from Continuing Operations was $379.2 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 68.3% from $1.2 billion a year earlier.
General Mills (GIS) Income from Continuing Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' Income from Continuing Operations was -$826.8 million through Aug 30, 2026; for FY2026 (ended May 31, 2026), it was -$8.8 million.
- In earlier fiscal years, Income from Continuing Operations was $2.26 billion in FY2025 (-7.1%), $2.43 billion in FY2024 (-3.7%), $2.53 billion in FY2023 (-3.6%) and $2.62 billion in FY2022 (+17.7%).
- Quarterly Income from Continuing Operations has moved between -$1.99 billion (fiscal Q4 2026) and $1.2 billion (fiscal Q1 2026) over five years.
- Compared with a year earlier, Income from Continuing Operations was higher in two of the last seven quarters, with an average decline of 8.6%.
- The best year-over-year quarter for Income from Continuing Operations over five years was fiscal Q4 2022 (growth of 116.9%); the worst was fiscal Q1 2027 (a decline of 68.3%).
- Per Business Quant data, GIS's Income from Continuing Operations in the three fiscal quarters before Q1 2027 was -$1.99 billion (Q4 2026), $311.6 million (Q3 2026) and $473.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.54 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 379.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 156.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 174.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 379.20 Mn |
| May 31, 2026 | -1.99 Bn |
| Feb 22, 2026 | 311.60 Mn |
| Nov 23, 2025 | 473.90 Mn |
| Aug 24, 2025 | 1.20 Bn |
| May 25, 2025 | 308.00 Mn |
| Feb 23, 2025 | 616.60 Mn |
| Nov 24, 2024 | 772.30 Mn |
| Aug 25, 2024 | 564.40 Mn |
| May 26, 2024 | 540.60 Mn |
| Feb 25, 2024 | 658.30 Mn |
| Nov 26, 2023 | 578.10 Mn |
| Aug 27, 2023 | 656.80 Mn |
| May 28, 2023 | 596.70 Mn |
| Feb 26, 2023 | 545.20 Mn |
| Nov 27, 2022 | 582.90 Mn |
| Aug 28, 2022 | 803.50 Mn |
| May 29, 2022 | 806.10 Mn |
| Feb 27, 2022 | 632.70 Mn |
| Nov 28, 2021 | 575.40 Mn |
General Mills Income from Continuing Operations 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=income-from-continuing-operations&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();