HF Foods (HFFG) Revenue (2017 - 2026)
HF Foods (HFFG) posted Revenue of $323.78 million for Q2 2026, up 2.8% from $314.85 million a year earlier and up 3.8% from the prior quarter.
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Analysis
HF Foods (HFFG) Revenue (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at HF Foods was $1.25 billion, up 2.8% year-over-year; for FY2025, it was $1.23 billion, up 2.2% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In prior years, HF Foods' Revenue was $1.2 billion in FY2024 (+4.6%), $1.15 billion in FY2023 (-1.9%), $1.17 billion in FY2022 (+46.9%) and $796.88 million in FY2021 (+40.6%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q3 2017.
- On a year-over-year basis, Revenue has increased in each of the last ten quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2022, with growth of 74.6%; the weakest was Q3 2023, with a decline of 6.4%.
- According to Business Quant data, Revenue for the three prior quarters was $312 million (Q1 2026), $308.02 million (Q4 2025) and $306.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 4.54 Bn |
| 10 | HF Foods | 85.16 Mn | 86.21 Mn | 55.05 Mn | 323.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 323.78 Mn |
| Mar 31, 2026 | 312.00 Mn |
| Dec 31, 2025 | 308.02 Mn |
| Sep 30, 2025 | 306.98 Mn |
| Jun 30, 2025 | 314.85 Mn |
| Mar 31, 2025 | 298.43 Mn |
| Dec 31, 2024 | 305.28 Mn |
| Sep 30, 2024 | 298.39 Mn |
| Jun 30, 2024 | 302.34 Mn |
| Mar 31, 2024 | 295.65 Mn |
| Dec 31, 2023 | 280.87 Mn |
| Sep 30, 2023 | 281.45 Mn |
| Jun 30, 2023 | 292.31 Mn |
| Mar 31, 2023 | 293.86 Mn |
| Dec 31, 2022 | 291.90 Mn |
| Sep 30, 2022 | 300.71 Mn |
| Jun 30, 2022 | 299.64 Mn |
| Mar 31, 2022 | 278.22 Mn |
| Dec 31, 2021 | 228.42 Mn |
| Sep 30, 2021 | 215.54 Mn |
API Access
HF Foods Revenue 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=revenue&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();