HF Foods (HFFG) Non-Current Debt (2017 - 2026)
HF Foods (HFFG) reported Non-Current Debt of $95.34 million for Q2 2026, down 5.2% from $100.61 million a year earlier and down 0.2% from the prior quarter.
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Analysis
HF Foods (HFFG) Non-Current Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, HF Foods posted Non-Current Debt of $99.44 million, down 3.8% from FY2024.
- Non-Current Debt has declined for three consecutive years, though with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $103.32 million in FY2024 (-5.0%), $108.71 million in FY2023 (-5.8%), $115.44 million in FY2022 (+41.1%) and $81.81 million in FY2021 (-7.0%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Debt since Q1 2022.
- Year over year, Non-Current Debt has now declined in each of the last 13 quarters, with an average decline of 5.1% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q1 2023 (growth of 42.1%); the low point was Q1 2022 (a decline of 7.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $95.56 million (Q1 2026), $99.44 million (Q4 2025) and $100.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 36.46 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 5.67 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 12.32 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 15.16 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 4.56 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 2.33 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 5.09 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 2.15 Bn |
| 10 | HF Foods | 85.16 Mn | 86.21 Mn | 55.05 Mn | 95.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.34 Mn |
| Mar 31, 2026 | 95.56 Mn |
| Dec 31, 2025 | 99.44 Mn |
| Sep 30, 2025 | 100.27 Mn |
| Jun 30, 2025 | 100.61 Mn |
| Mar 31, 2025 | 101.97 Mn |
| Dec 31, 2024 | 103.32 Mn |
| Sep 30, 2024 | 104.66 Mn |
| Jun 30, 2024 | 106.00 Mn |
| Mar 31, 2024 | 107.33 Mn |
| Dec 31, 2023 | 108.71 Mn |
| Sep 30, 2023 | 111.22 Mn |
| Jun 30, 2023 | 112.62 Mn |
| Mar 31, 2023 | 114.05 Mn |
| Dec 31, 2022 | 115.44 Mn |
| Sep 30, 2022 | 116.99 Mn |
| Jun 30, 2022 | 118.51 Mn |
| Mar 31, 2022 | 80.25 Mn |
| Dec 31, 2021 | 81.81 Mn |
| Sep 30, 2021 | 83.71 Mn |
API Access
HF Foods Non-Current Debt 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=non-current-debt&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();