HF Foods (HFFG) Cash & Equivalents (2016 - 2026)
HF Foods (HFFG) recorded Cash & Equivalents of $12.69 million in Q1 2020, up 84.0% from $6.9 million a year earlier but down 12.7% from the prior quarter.
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Analysis
HF Foods (HFFG) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2019, HF Foods reported Cash & Equivalents of $14.54 million, up 164.8% from FY2018.
- Annual Cash & Equivalents has a three-year compound annual growth rate of 34.6% (FY2016 to FY2019).
- Across earlier years, Cash & Equivalents came in at $5.49 million in FY2018 (-9.8%), $6.09 million in FY2017 (+2.2%) and $5.96 million in FY2016.
- Quarterly Cash & Equivalents has ranged from $38,985 in Q2 2017 to $14.54 million in Q4 2019 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last seven quarters, with growth averaging 43.2%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 164.8% in Q4 2019, against a decline of 12.7% in Q3 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.54 million (Q4 2019), $6.8 million (Q3 2019) and $6.94 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 20.21 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 1.68 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 3.17 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 1.06 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 524.06 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 54.00 Mn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 198.88 Mn |
| 10 | HF Foods | 78.16 Mn | 24.93 Mn | 53.39 Mn | 16.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.44 Mn |
| Jun 30, 2026 | 18.10 Mn |
| Mar 31, 2026 | 11.06 Mn |
| Dec 31, 2025 | 8.64 Mn |
| Sep 30, 2025 | 12.33 Mn |
| Jun 30, 2025 | 15.65 Mn |
| Mar 31, 2025 | 16.10 Mn |
| Dec 31, 2024 | 14.47 Mn |
| Sep 30, 2024 | 11.45 Mn |
| Jun 30, 2024 | 13.97 Mn |
| Mar 31, 2024 | 18.22 Mn |
| Dec 31, 2023 | 15.23 Mn |
| Sep 30, 2023 | 14.30 Mn |
| Jun 30, 2023 | 14.95 Mn |
| Mar 31, 2023 | 17.48 Mn |
| Dec 31, 2022 | 24.29 Mn |
| Sep 30, 2022 | 17.81 Mn |
| Jun 30, 2022 | 18.82 Mn |
| Mar 31, 2022 | 16.43 Mn |
| Dec 31, 2021 | 14.79 Mn |
API Access
HF Foods Cash & Equivalents 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=cash-and-equivalents&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();