Sysco (SYY) Sales of Property, Plant and Equipment (2009 - 2026)
Sysco's Sales of Property, Plant and Equipment came in at $45 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), unchanged from $45 million a year earlier and up 55.2% from the prior quarter.
Sysco (SYY) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Sysco's Sales of Property, Plant and Equipment was $176 million, down 17.8% from FY2025.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 24.4% (FY2021 to FY2026).
- Going back by fiscal year, Sales of Property, Plant and Equipment was $214 million in FY2025 (+170.9%), $79 million in FY2024 (+88.1%), $42 million in FY2023 (+75.0%) and $24 million in FY2022 (-59.4%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is -$177,000 (fiscal Q2 2022) to $89 million (fiscal Q2 2025).
- Year-over-year, Sales of Property, Plant and Equipment increased in two of the last seven quarters, with growth averaging 194.7%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in fiscal Q3 2026 (growth of 866.7%), and the weakest in fiscal Q4 2022 (a decline of 79.8%).
- Business Quant data shows SYY's Sales of Property, Plant and Equipment at $29 million (Q3 2026), $78 million (Q2 2026) and $24 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 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 88.00 Mn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 45.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 366,000.00 |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 3.58 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 38.66 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 1.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 45.00 Mn |
| Mar 28, 2026 | 29.00 Mn |
| Dec 27, 2025 | 78.00 Mn |
| Sep 27, 2025 | 24.00 Mn |
| Jun 28, 2025 | 45.00 Mn |
| Mar 29, 2025 | 3.00 Mn |
| Dec 28, 2024 | 89.00 Mn |
| Sep 28, 2024 | 77.00 Mn |
| Jun 29, 2024 | 58.00 Mn |
| Mar 30, 2024 | 3.00 Mn |
| Dec 30, 2023 | 7.00 Mn |
| Sep 30, 2023 | 11.00 Mn |
| Jul 1, 2023 | 13.69 Mn |
| Apr 1, 2023 | 2.82 Mn |
| Dec 31, 2022 | 3.05 Mn |
| Oct 1, 2022 | 22.45 Mn |
| Jul 2, 2022 | 8.05 Mn |
| Apr 2, 2022 | 10.50 Mn |
| Jan 2, 2022 | -177,000.00 |
| Oct 2, 2021 | 5.63 Mn |
Sysco 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=SYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "SYY", "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=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();