General Mills (GIS) Enterprise Value (2009 - 2026)
General Mills' (GIS) quarterly Enterprise Value came in at $17.6 billion in Q2 2026, down 38.46% year-over-year from $28.6 billion in Q2 2025, and down 23.6% quarter-over-quarter from $23.0 billion in Q1 2026.
General Mills (GIS) Enterprise Value (2009 - 2026) Analysis & Trends
General Mills has disclosed Enterprise Value across 18 years of filings, most recently posting $17.6 billion for Q2 2026.
- In Q2 2026, Enterprise Value fell 38.46% year-over-year to $17.6 billion; the TTM figure through May 2026 stood at $17.6 billion (down 38.46% YoY), while the FY2026 annual figure was $17.6 billion, down 38.46% from the prior year.
- Enterprise Value came in at $17.6 billion for Q2 2026 at General Mills, down from $23.0 billion in the prior quarter.
- In the past five years, Enterprise Value ranged from a high of $48.9 billion in Q2 2023 to a low of $17.6 billion in Q2 2026.
- Average Enterprise Value over 5 years is $36.0 billion, with a median of $37.3 billion recorded in 2023.
- Year-over-year, Enterprise Value surged 30.19% in 2022 and slumped 38.46% in 2026.
- Over 5 years, Enterprise Value stood at $48.5 billion in 2022, then retreated by 24.42% to $36.7 billion in 2023, then fell by 7.88% to $33.8 billion in 2024, then fell by 25.66% to $25.1 billion in 2025, then slipped by 29.92% to $17.6 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $17.6 billion in Q2 2026, $23.0 billion in Q1 2026, and $25.1 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 | 41.09 Bn |
| Feb 27, 2022 | 40.36 Bn |
| Nov 28, 2021 | 37.27 Bn |
| Aug 29, 2021 | 34.80 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();