General Mills (GIS) Sales of Property, Plant and Equipment (2009 - 2026)
General Mills' Sales of Property, Plant and Equipment came in at -$400,000 for fiscal Q4 2026 (quarter ended May 31, 2026), compared with $100,000 a year earlier.
General Mills (GIS) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), General Mills' Sales of Property, Plant and Equipment was $4.8 million, up 336.4% from FY2025.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 12.2% (FY2021 to FY2026).
- Going back by fiscal year, Sales of Property, Plant and Equipment was $1.1 million in FY2025 (+37.5%), $800,000 in FY2024 (-38.5%), $1.3 million in FY2023 (-60.6%) and $3.3 million in FY2022 (+22.2%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is -$400,000 (fiscal Q2 2026) to $2.8 million (fiscal Q3 2026).
- Year-over-year, Sales of Property, Plant and Equipment increased in two of the last four quarters, with growth averaging 120.8%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in fiscal Q1 2026 (growth of 366.7%), and the weakest in fiscal Q3 2022 (a decline of 92.9%).
- Business Quant data shows GIS's Sales of Property, Plant and Equipment at $2.8 million (Q3 2026), -$400,000 (Q2 2026) and $2.8 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 3.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 300,000.00 |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.65 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -400,000.00 |
| Feb 22, 2026 | 2.80 Mn |
| Nov 23, 2025 | -400,000.00 |
| Aug 24, 2025 | 2.80 Mn |
| May 25, 2025 | 100,000.00 |
| Feb 23, 2025 | 100,000.00 |
| Nov 24, 2024 | 300,000.00 |
| Aug 25, 2024 | 600,000.00 |
| May 26, 2024 | 600,000.00 |
| Feb 25, 2024 | 100,000.00 |
| Nov 26, 2023 | 100,000.00 |
| May 28, 2023 | 500,000.00 |
| Feb 26, 2023 | 300,000.00 |
| Nov 27, 2022 | 500,000.00 |
| May 29, 2022 | 1.70 Mn |
| Feb 27, 2022 | 100,000.00 |
| Nov 28, 2021 | 1.20 Mn |
| Aug 29, 2021 | 300,000.00 |
| May 30, 2021 | 900,000.00 |
| Feb 28, 2021 | 1.40 Mn |
General Mills Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();