HF Foods (HFFG) Property, Plant & Equipment (Net) (2017 - 2026)
HF Foods (HFFG) reported Property, Plant & Equipment (Net) of $178.89 million for Q2 2026, up 13.2% from $158.01 million a year earlier and up 1.4% from the prior quarter.
HF Foods (HFFG) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, HF Foods posted Property, Plant & Equipment (Net) of $163.4 million, up 9.2% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $149.57 million in FY2024 (+12.3%), $133.14 million in FY2023 (-5.1%), $140.33 million in FY2022 (-3.8%) and $145.91 million in FY2021 (+2.2%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2017.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last nine quarters, with growth averaging 11.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2025 (growth of 16.2%); the low point was Q1 2023 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $176.5 million (Q1 2026), $163.4 million (Q4 2025) and $158.72 million (Q3 2025).
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 | HF Foods | 87.86 Mn | 88.91 Mn | 55.05 Mn | 178.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.89 Mn |
| Mar 31, 2026 | 176.50 Mn |
| Dec 31, 2025 | 163.40 Mn |
| Sep 30, 2025 | 158.72 Mn |
| Jun 30, 2025 | 158.01 Mn |
| Mar 31, 2025 | 160.41 Mn |
| Dec 31, 2024 | 149.57 Mn |
| Sep 30, 2024 | 146.07 Mn |
| Jun 30, 2024 | 143.54 Mn |
| Mar 31, 2024 | 137.99 Mn |
| Dec 31, 2023 | 133.14 Mn |
| Sep 30, 2023 | 135.35 Mn |
| Jun 30, 2023 | 136.72 Mn |
| Mar 31, 2023 | 138.98 Mn |
| Dec 31, 2022 | 140.33 Mn |
| Sep 30, 2022 | 141.30 Mn |
| Jun 30, 2022 | 142.01 Mn |
| Mar 31, 2022 | 147.24 Mn |
| Dec 31, 2021 | 145.91 Mn |
| Sep 30, 2021 | 146.94 Mn |
HF Foods 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=HFFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "HFFG", "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=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();