General Mills (GIS) Buildings (2009 - 2026)
General Mills' Buildings came in at $2.53 billion for fiscal Q4 2026 (quarter ended May 31, 2026), down 0.3% from $2.54 billion a year earlier.
Powered by 
Analysis
General Mills (GIS) Buildings (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2012, General Mills' Buildings data covers 15 quarters.
- Buildings carries a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Going back by fiscal year, Buildings was $2.54 billion in FY2025 (-4.0%), $2.64 billion in FY2024 (+2.8%), $2.57 billion in FY2023 (+5.1%) and $2.44 billion in FY2022 (-3.9%).
- The fiscal Q4 2026 figure represents the lowest quarterly Buildings since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.87 Bn | 7.49 Bn | 266.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.53 Bn |
| May 25, 2025 | 2.54 Bn |
| May 28, 2023 | 2.57 Bn |
| May 29, 2022 | 2.44 Bn |
| May 30, 2021 | 2.54 Bn |
| May 31, 2020 | 2.41 Bn |
| May 26, 2019 | 2.48 Bn |
| May 27, 2018 | 2.40 Bn |
| May 28, 2017 | 2.25 Bn |
| May 29, 2016 | 2.24 Bn |
| May 31, 2015 | 2.27 Bn |
| May 25, 2014 | 2.23 Bn |
| May 26, 2013 | 2.17 Bn |
| May 27, 2012 | 1.98 Bn |
| May 29, 2011 | 1.78 Bn |
| May 31, 2009 | 1.57 Bn |
API Access
General Mills Buildings 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=buildings&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();