HF Foods (HFFG) Selling, General & Administrative (2017 - 2026)
HF Foods (HFFG) reported Selling, General & Administrative 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) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, HF Foods' Selling, General & Administrative came in at $202.66 million, up 2.1% year-over-year; for FY2025, it was $201.76 million, up 1.9% from FY2024.
- Selling, General & Administrative has increased for eight consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $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 ranks as the highest quarterly Selling, General & Administrative since Q2 2023.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 3.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2022 (growth of 75.8%); the low point was Q4 2023 (a decline of 24.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 1.02 Bn |
| 10 | HF Foods | 87.86 Mn | 88.91 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 | 31.05 Mn |
API Access
HF Foods Selling, General & Administrative 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=selling-general-and-administrative&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();