HF Foods (HFFG) Long-Term Debt Repayments (2017 - 2026)
HF Foods (HFFG) posted Long-Term Debt Repayments of $1.59 million for Q2 2026, down 1.1% from $1.6 million a year earlier and down 70.6% from the prior quarter.
HF Foods (HFFG) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at HF Foods was $10.76 million, up 86.4% year-over-year; for FY2025, it came in at $6.86 million, up 25.3% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, HF Foods' Long-Term Debt Repayments was $5.47 million in FY2024 (-27.9%), $7.59 million in FY2023 (-33.0%), $11.34 million in FY2022 (+71.8%) and $6.6 million in FY2021 (+0.1%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 38.3%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2022, with growth of 327.4%; the weakest was Q2 2023, with a decline of 76.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $5.39 million (Q1 2026), $2.08 million (Q4 2025) and $1.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | - |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 42.00 Mn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 1.49 Bn |
| 10 | HF Foods | 79.01 Mn | 79.01 Mn | 55.05 Mn | 3.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.35 Mn |
| Mar 31, 2026 | 7.16 Mn |
| Dec 31, 2025 | 3.70 Mn |
| Sep 30, 2025 | 3.65 Mn |
| Jun 30, 2025 | 2.97 Mn |
| Mar 31, 2025 | 2.83 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 2.22 Mn |
| Jun 30, 2024 | 2.23 Mn |
| Mar 31, 2024 | 2.27 Mn |
| Dec 31, 2023 | 3.44 Mn |
| Sep 30, 2023 | 2.06 Mn |
| Jun 30, 2023 | 2.28 Mn |
| Mar 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 2.47 Mn |
| Sep 30, 2022 | 2.37 Mn |
| Jun 30, 2022 | 7.03 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 2.61 Mn |
| Sep 30, 2021 | 2.11 Mn |
HF Foods Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HFFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();