HF Foods (HFFG) Receivables (2017 - 2026)
HF Foods (HFFG) posted Receivables of $64.96 million for Q2 2026, up 23.7% from $52.49 million a year earlier but down 3.9% from the prior quarter.
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Analysis
HF Foods (HFFG) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, HF Foods' Receivables came in at $66.24 million, up 21.9% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior years, HF Foods' Receivables was $54.35 million in FY2024 (-0.9%), $54.83 million in FY2023 (+22.9%), $44.61 million in FY2022 (+22.1%) and $36.53 million in FY2021 (+39.9%).
- Quarterly Receivables has run from a low of $36.53 million in Q4 2021 to a high of $67.62 million in Q1 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 10.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2021, with growth of 39.9%; the weakest was Q2 2024, with a decline of 3.3%.
- According to Business Quant data, Receivables for the three prior quarters was $67.62 million (Q1 2026), $66.24 million (Q4 2025) and $54.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | - |
| 10 | HF Foods | 85.16 Mn | 86.21 Mn | 55.05 Mn | 64.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.96 Mn |
| Mar 31, 2026 | 67.62 Mn |
| Dec 31, 2025 | 66.24 Mn |
| Sep 30, 2025 | 54.13 Mn |
| Jun 30, 2025 | 52.49 Mn |
| Mar 31, 2025 | 58.14 Mn |
| Dec 31, 2024 | 54.35 Mn |
| Sep 30, 2024 | 51.95 Mn |
| Jun 30, 2024 | 51.42 Mn |
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 54.83 Mn |
| Sep 30, 2023 | 50.46 Mn |
| Jun 30, 2023 | 53.19 Mn |
| Mar 31, 2023 | 50.10 Mn |
| Dec 31, 2022 | 44.61 Mn |
| Sep 30, 2022 | 44.70 Mn |
| Jun 30, 2022 | 43.58 Mn |
| Mar 31, 2022 | 44.24 Mn |
| Dec 31, 2021 | 36.53 Mn |
| Sep 30, 2021 | 41.10 Mn |
API Access
HF Foods Receivables 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=receivables&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();