HF Foods (HFFG) Shares Outstanding (Diluted) (2019 - 2026)
HF Foods (HFFG) posted Shares Outstanding (Diluted) of 53.89 million for Q2 2026, up 0.9% from 53.41 million a year earlier but down 0.1% from the prior quarter.
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Analysis
HF Foods (HFFG) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, HF Foods' Shares Outstanding (Diluted) came in at 52.95 million, up 0.8% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In prior years, HF Foods' Shares Outstanding (Diluted) was 52.55 million in FY2024 (-2.5%), 53.88 million in FY2023 (unchanged), 53.86 million in FY2022 (+3.4%) and 52.09 million in FY2021 (unchanged).
- Quarterly Shares Outstanding (Diluted) has run from a low of 51.93 million in Q3 2021 to a high of 54.51 million in Q3 2023 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last six quarters, with growth averaging 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q2 2022, with growth of 3.8%; the weakest was Q3 2024, with a decline of 3.3%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 53.93 million (Q1 2026), 52.95 million (Q4 2025) and 53.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 444.43 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 480.61 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 608.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 524.62 Mn |
| 10 | HF Foods | 88.40 Mn | 89.44 Mn | 55.05 Mn | 53.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.89 Mn |
| Mar 31, 2026 | 53.93 Mn |
| Dec 31, 2025 | 52.95 Mn |
| Sep 30, 2025 | 53.03 Mn |
| Jun 30, 2025 | 53.41 Mn |
| Mar 31, 2025 | 52.74 Mn |
| Dec 31, 2024 | 52.55 Mn |
| Sep 30, 2024 | 52.73 Mn |
| Jun 30, 2024 | 52.66 Mn |
| Mar 31, 2024 | 52.16 Mn |
| Dec 31, 2023 | 53.88 Mn |
| Sep 30, 2023 | 54.51 Mn |
| Jun 30, 2023 | 54.05 Mn |
| Mar 31, 2023 | 53.82 Mn |
| Dec 31, 2022 | 53.86 Mn |
| Sep 30, 2022 | 53.80 Mn |
| Jun 30, 2022 | 53.90 Mn |
| Mar 31, 2022 | 53.88 Mn |
| Dec 31, 2021 | 52.09 Mn |
| Sep 30, 2021 | 51.93 Mn |
API Access
HF Foods Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();