HF Foods (HFFG) Total Non-Current Liabilities (2017 - 2026)
HF Foods (HFFG) recorded Total Non-Current Liabilities of $348.53 million in Q2 2026, down 0.5% from $350.44 million a year earlier but up 2.4% from the prior quarter.
HF Foods (HFFG) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, HF Foods reported Total Non-Current Liabilities of $336.28 million, up 9.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $307.97 million in FY2024 (+2.1%), $301.65 million in FY2023 (-10.2%), $335.81 million in FY2022 (+12.6%) and $298.15 million in FY2021 (+35.5%).
- Quarterly Total Non-Current Liabilities has ranged from $243.41 million in Q3 2021 to $352.48 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 46.0% in Q2 2022, against a decline of 10.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $340.33 million (Q1 2026), $336.28 million (Q4 2025) and $352.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 50.28 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 4.92 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 10.31 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 9.36 Bn |
| 10 | HF Foods | 80.14 Mn | 80.14 Mn | 55.05 Mn | 348.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 348.53 Mn |
| Mar 31, 2026 | 340.33 Mn |
| Dec 31, 2025 | 336.28 Mn |
| Sep 30, 2025 | 352.48 Mn |
| Jun 30, 2025 | 350.44 Mn |
| Mar 31, 2025 | 340.13 Mn |
| Dec 31, 2024 | 307.97 Mn |
| Sep 30, 2024 | 324.53 Mn |
| Jun 30, 2024 | 327.92 Mn |
| Mar 31, 2024 | 309.71 Mn |
| Dec 31, 2023 | 301.65 Mn |
| Sep 30, 2023 | 325.17 Mn |
| Jun 30, 2023 | 316.15 Mn |
| Mar 31, 2023 | 313.83 Mn |
| Dec 31, 2022 | 335.81 Mn |
| Sep 30, 2022 | 350.82 Mn |
| Jun 30, 2022 | 348.18 Mn |
| Mar 31, 2022 | 317.12 Mn |
| Dec 31, 2021 | 298.15 Mn |
| Sep 30, 2021 | 243.41 Mn |
HF Foods Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=HFFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();