HF Foods (HFFG) Depreciation and Depletion (2017 - 2026)
HF Foods (HFFG) recorded Depreciation and Depletion of $3.5 million in Q2 2026, up 9.4% from $3.2 million a year earlier but down 2.8% from the prior quarter.
HF Foods (HFFG) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a TTM basis, HF Foods' Depreciation and Depletion came in at $13.6 million as of Jun 30, 2026, up 19.3% year-over-year; for FY2025, it came in at $12.7 million, up 22.1% from FY2024.
- Annual Depreciation and Depletion has increased for eight straight years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $10.4 million in FY2024 (+8.3%), $9.6 million in FY2023 (+4.3%), $9.2 million in FY2022 (+13.6%) and $8.1 million in FY2021 (+1.3%).
- Quarterly Depreciation and Depletion has ranged from $2 million in Q3 2021 to $3.6 million in Q1 2026 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for nine consecutive quarters, with growth averaging 18.0% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 28.0% in Q2 2025, against a decline of 32.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.6 million (Q1 2026), $3.3 million (Q4 2025) and $3.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 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 | 104.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | - |
| 10 | HF Foods | 87.86 Mn | 88.91 Mn | 55.05 Mn | 3.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 3.60 Mn |
| Dec 31, 2025 | 3.30 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 3.20 Mn |
| Mar 31, 2025 | 2.90 Mn |
| Dec 31, 2024 | 2.70 Mn |
| Sep 30, 2024 | 2.60 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 2.60 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 2.40 Mn |
| Mar 31, 2023 | 2.60 Mn |
| Dec 31, 2022 | 2.60 Mn |
| Sep 30, 2022 | 2.20 Mn |
| Jun 30, 2022 | 2.20 Mn |
| Mar 31, 2022 | 2.20 Mn |
| Dec 31, 2021 | 2.10 Mn |
| Sep 30, 2021 | 2.00 Mn |
HF Foods Depreciation and Depletion 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=depreciation-and-depletion&ticker=HFFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();