General Mills (GIS) Consolidated Net Income (2009 - 2026)
General Mills (GIS) recorded Consolidated Net Income of $398.1 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 66.9% from $1.2 billion a year earlier.
General Mills (GIS) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, General Mills' Consolidated Net Income came in at -$891.2 million as of Aug 30, 2026; for FY2026 (ended May 31, 2026), it was -$85.3 million.
- Across earlier fiscal years, Consolidated Net Income came in at $2.32 billion in FY2025 (-7.9%), $2.52 billion in FY2024 (-3.5%), $2.61 billion in FY2023 (-4.6%) and $2.74 billion in FY2022 (+16.6%).
- Quarterly Consolidated Net Income has ranged from -$2.01 billion in fiscal Q4 2026 to $1.2 billion in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Consolidated Net Income rose in two of the last seven quarters, with an average decline of 11.4%.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 106.5% in fiscal Q4 2022, against a decline of 66.9% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$2.01 billion (Q4 2026), $305.5 million (Q3 2026) and $414.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 1.55 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 398.10 Mn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 107.60 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 22.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 398.10 Mn |
| May 31, 2026 | -2.01 Bn |
| Feb 22, 2026 | 305.50 Mn |
| Nov 23, 2025 | 414.30 Mn |
| Aug 24, 2025 | 1.20 Bn |
| May 25, 2025 | 302.00 Mn |
| Feb 23, 2025 | 631.00 Mn |
| Nov 24, 2024 | 802.30 Mn |
| Aug 25, 2024 | 583.60 Mn |
| May 26, 2024 | 559.70 Mn |
| Feb 25, 2024 | 676.30 Mn |
| Nov 26, 2023 | 602.30 Mn |
| Aug 27, 2023 | 680.30 Mn |
| May 28, 2023 | 620.10 Mn |
| Feb 26, 2023 | 557.90 Mn |
| Nov 27, 2022 | 608.30 Mn |
| Aug 28, 2022 | 823.30 Mn |
| May 29, 2022 | 825.80 Mn |
| Feb 27, 2022 | 662.60 Mn |
| Nov 28, 2021 | 608.40 Mn |
General Mills Consolidated 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=consolidated-net-income&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();