HF Foods (HFFG) Asset Writedowns and Impairment (2020 - 2024)
HF Foods' Asset Writedowns and Impairment was $38.82 million in FY2025, down 16.2% from $46.3 million in FY2024.
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Analysis
HF Foods (HFFG) Asset Writedowns and Impairment (2020 - 2024) Analysis & Trends
From FY2020 onward, HF Foods has reported Asset Writedowns and Impairment for 5 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -35.1% (FY2020 to FY2025).
- Annual Asset Writedowns and Impairment has moved between $422,000 (FY2022) and $46.3 million (FY2024) over five years.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $46.3 million in FY2024, $1.2 million in FY2023 (+184.4%) and $422,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn |
| 10 | HF Foods | 78.16 Mn | 24.93 Mn | 53.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 46.30 Mn |
| Sep 30, 2022 | 400,000.00 |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2021 | 56,578.00 |
| Mar 31, 2020 | 338.19 Mn |
API Access
HF Foods Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();