General Mills (GIS) Net Income (2009 - 2026)
General Mills' (GIS) quarterly Net Income came in at -$2.0 billion in Q2 2026, down 746.59% year-over-year from $308.0 million in Q2 2025, and down 739.12% quarter-over-quarter from $311.6 million in Q1 2026.
General Mills (GIS) Net Income (2009 - 2026) Analysis & Trends
General Mills has disclosed Net Income across 18 years of filings, most recently posting -$2.0 billion for Q2 2026.
- In Q2 2026, Net Income fell 746.59% year-over-year to -$2.0 billion; the TTM figure through May 2026 stood at -$8.8 million (down 100.39% YoY), while the FY2026 annual figure was -$8.8 million, down 100.39% from the prior year.
- Net Income came in at -$2.0 billion for Q2 2026 at General Mills, down from $311.6 million in the prior quarter.
- In the past five years, Net Income ranged from a high of $1.2 billion in Q3 2025 to a low of -$2.0 billion in Q2 2026.
- Average Net Income over 5 years is $480.7 million, with a median of $589.8 million recorded in 2022.
- Year-over-year, Net Income surged 116.87% in 2022 and slumped 746.59% in 2026.
- Over 5 years, Net Income stood at $582.9 million in 2022, then declined by 0.82% to $578.1 million in 2023, then jumped by 33.59% to $772.3 million in 2024, then sank by 38.64% to $473.9 million in 2025, then plunged by 520.24% to -$2.0 billion in 2026.
- Per Business Quant data, the three most recent Net Income figures were -$2.0 billion in Q2 2026, $311.6 million in Q1 2026, and $473.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | - |
| 2 | Mondelez International | 77.96 Bn | 76.29 Bn | 3.99 Bn | 1.54 Bn |
| 3 | Hershey | 34.06 Bn | 33.27 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | -1.99 Bn |
| 6 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 156.70 Mn |
| 7 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 324.30 Mn |
| 8 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | -1.23 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 29, 2021 | 609.10 Mn |
General Mills Net Income 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=net-income&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();