Sysco (SYY) Property, Plant & Equipment (Net) (2009 - 2026)
Sysco (SYY) posted Property, Plant & Equipment (Net) of $5.97 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 1.8% from $6.08 billion a year earlier but up 1.5% from the prior quarter.
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Analysis
Sysco (SYY) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, Sysco has reported Property, Plant & Equipment (Net) for 70 quarters.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- In prior fiscal years, Sysco's Property, Plant & Equipment (Net) was $6.08 billion in FY2025 (+10.7%), $5.5 billion in FY2024 (+11.8%), $4.92 billion in FY2023 (+10.3%) and $4.46 billion in FY2022 (+3.0%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $4.31 billion in fiscal Q2 2022 to a high of $6.08 billion in fiscal Q4 2025 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in seven of the last eight quarters, with growth averaging 6.5%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q3 2024, with growth of 13.8%; the weakest was fiscal Q4 2026, with a decline of 1.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $5.89 billion (Q3 2026), $5.93 billion (Q2 2026) and $5.94 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 951.18 Bn | 913.88 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 444.74 Bn | 368.02 Bn | 12.19 Bn | 35.63 Bn |
| 3 | Kroger | 39.45 Bn | 25.60 Bn | 7.86 Bn | 25.27 Bn |
| 4 | Sysco | 38.98 Bn | 33.23 Bn | 4.13 Bn | 5.97 Bn |
| 5 | Dollar General | 29.28 Bn | 23.95 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 25.84 Bn | 23.84 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 23.52 Bn | 20.14 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 21.84 Bn | 21.63 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 17.44 Bn | 16.61 Bn | 1.68 Bn | 3.22 Bn |
| 10 | Performance Food | 14.79 Bn | 14.57 Bn | 2.17 Bn | 4.78 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.97 Bn |
| Mar 28, 2026 | 5.89 Bn |
| Dec 27, 2025 | 5.93 Bn |
| Sep 27, 2025 | 5.94 Bn |
| Jun 28, 2025 | 6.08 Bn |
| Mar 29, 2025 | 5.72 Bn |
| Dec 28, 2024 | 5.59 Bn |
| Sep 28, 2024 | 5.56 Bn |
| Jun 29, 2024 | 5.50 Bn |
| Mar 30, 2024 | 5.29 Bn |
| Dec 30, 2023 | 5.16 Bn |
| Sep 30, 2023 | 5.02 Bn |
| Jul 1, 2023 | 4.92 Bn |
| Apr 1, 2023 | 4.65 Bn |
| Dec 31, 2022 | 4.56 Bn |
| Oct 1, 2022 | 4.46 Bn |
| Jul 2, 2022 | 4.46 Bn |
| Apr 2, 2022 | 4.35 Bn |
| Jan 2, 2022 | 4.31 Bn |
| Oct 2, 2021 | 4.34 Bn |
API Access
Sysco Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();