HF Foods (HFFG) Operating Expenses (2017 - 2026)
HF Foods (HFFG) posted Operating Expenses of $52.23 million for Q2 2026, up 2.4% from $51.01 million a year earlier and up 5.5% from the prior quarter.
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Analysis
HF Foods (HFFG) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at HF Foods was $202.66 million, up 2.1% year-over-year; for FY2025, it came in at $201.76 million, up 1.9% from FY2024.
- Annual Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior years, HF Foods' Operating Expenses was $198.03 million in FY2024 (+1.5%), $195.06 million in FY2023 (+0.1%), $194.95 million in FY2022 (+59.8%) and $122.03 million in FY2021 (+14.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 76.3%; the weakest was Q4 2023, with a decline of 24.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $49.49 million (Q1 2026), $51.66 million (Q4 2025) and $49.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | HF Foods | 85.16 Mn | 86.21 Mn | 55.05 Mn | 52.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.23 Mn |
| Mar 31, 2026 | 49.49 Mn |
| Dec 31, 2025 | 51.66 Mn |
| Sep 30, 2025 | 49.29 Mn |
| Jun 30, 2025 | 51.01 Mn |
| Mar 31, 2025 | 49.81 Mn |
| Dec 31, 2024 | 48.04 Mn |
| Sep 30, 2024 | 49.65 Mn |
| Jun 30, 2024 | 49.84 Mn |
| Mar 31, 2024 | 50.50 Mn |
| Dec 31, 2023 | 41.05 Mn |
| Sep 30, 2023 | 48.84 Mn |
| Jun 30, 2023 | 52.24 Mn |
| Mar 31, 2023 | 52.93 Mn |
| Dec 31, 2022 | 54.11 Mn |
| Sep 30, 2022 | 54.59 Mn |
| Jun 30, 2022 | 45.84 Mn |
| Mar 31, 2022 | 40.41 Mn |
| Dec 31, 2021 | 33.10 Mn |
| Sep 30, 2021 | 30.97 Mn |
API Access
HF Foods Operating Expenses 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=operating-expenses&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();