General Mills (GIS) Enterprise Value (2009 - 2026)
General Mills (GIS) reported Enterprise Value of $21.8 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 15.6% from $25.83 billion a year earlier but up 23.8% from the prior quarter.
General Mills (GIS) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, General Mills' Enterprise Value came in at $19.87 billion, down 12.2% year-over-year; for FY2026 (ended May 31, 2026), it was $17.6 billion, down 38.5% from FY2025.
- Enterprise Value has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -13.9% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $28.6 billion in FY2025 (-24.6%), $37.96 billion in FY2024 (-22.4%), $48.93 billion in FY2023 (+18.1%) and $41.41 billion in FY2022 (+11.1%).
- Five-year quarterly Enterprise Value spans a low of $17.6 billion in fiscal Q4 2026 and a high of $48.93 billion in fiscal Q4 2023.
- Year over year, Enterprise Value has now declined in each of the last 13 quarters, with an average decline of 23.2% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q2 2023 (growth of 30.2%); the low point was fiscal Q4 2026 (a decline of 38.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $17.6 billion (Q4 2026), $23.04 billion (Q3 2026) and $25.12 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 21.80 Bn |
| May 31, 2026 | 17.60 Bn |
| Feb 22, 2026 | 23.04 Bn |
| Nov 23, 2025 | 25.12 Bn |
| Aug 24, 2025 | 25.83 Bn |
| May 25, 2025 | 28.60 Bn |
| Feb 23, 2025 | 33.13 Bn |
| Nov 24, 2024 | 33.79 Bn |
| Aug 25, 2024 | 39.10 Bn |
| May 26, 2024 | 37.96 Bn |
| Feb 25, 2024 | 36.54 Bn |
| Nov 26, 2023 | 36.67 Bn |
| Aug 27, 2023 | 39.50 Bn |
| May 28, 2023 | 48.93 Bn |
| Feb 26, 2023 | 46.99 Bn |
| Nov 27, 2022 | 48.53 Bn |
| Aug 28, 2022 | 44.96 Bn |
| May 29, 2022 | 41.41 Bn |
| Feb 27, 2022 | 40.36 Bn |
| Nov 28, 2021 | 37.27 Bn |
General Mills Enterprise Value 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=enterprise-value&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();