Chefs' Warehouse (CHEF) Property, Plant & Equipment (Net) (2010 - 2026)
Chefs' Warehouse's Property, Plant & Equipment (Net) came in at $348.85 million for Q2 2026, up 12.2% from $310.79 million a year earlier and up 1.0% from the prior quarter.
Chefs' Warehouse (CHEF) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Chefs' Warehouse's Property, Plant & Equipment (Net) was $342.02 million, up 24.0% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last 15 years, with a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $275.78 million in FY2024 (+17.5%), $234.79 million in FY2023 (+26.4%), $185.73 million in FY2022 (+39.0%) and $133.62 million in FY2021 (+15.7%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 20 consecutive quarters, with growth averaging 20.3% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 1.0% (Q3 2021) and 39.0% (Q4 2022) over the last five years.
- Business Quant data shows CHEF's Property, Plant & Equipment (Net) at $345.42 million (Q1 2026), $342.02 million (Q4 2025) and $337.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 34.29 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 5.97 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 25.27 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 3.22 Bn |
| 10 | Chefs' Warehouse | 4.75 Bn | 4.30 Bn | 292.89 Mn | 348.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 348.85 Mn |
| Mar 27, 2026 | 345.42 Mn |
| Dec 26, 2025 | 342.02 Mn |
| Sep 26, 2025 | 337.69 Mn |
| Jun 27, 2025 | 310.79 Mn |
| Mar 28, 2025 | 294.26 Mn |
| Dec 27, 2024 | 275.78 Mn |
| Sep 27, 2024 | 269.89 Mn |
| Jun 28, 2024 | 259.59 Mn |
| Mar 29, 2024 | 250.69 Mn |
| Dec 29, 2023 | 234.79 Mn |
| Sep 29, 2023 | 208.93 Mn |
| Jun 30, 2023 | 205.54 Mn |
| Mar 31, 2023 | 196.26 Mn |
| Dec 30, 2022 | 185.73 Mn |
| Sep 23, 2022 | 158.57 Mn |
| Jun 24, 2022 | 155.56 Mn |
| Mar 25, 2022 | 151.75 Mn |
| Dec 24, 2021 | 133.62 Mn |
| Sep 24, 2021 | 118.14 Mn |
Chefs' Warehouse 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=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CHEF", "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=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();