HF Foods (HFFG) Change in Taxes (2017 - 2019)
HF Foods' Change in Taxes came in at $257,755 for Q4 2019, down 79.5% from $1.26 million a year earlier.
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Analysis
HF Foods (HFFG) Change in Taxes (2017 - 2019) Analysis & Trends
For FY2019, HF Foods' Change in Taxes was $271,098, down 47.3% from FY2018.
- Going back by year, Change in Taxes was $513,940 in FY2018 (+23.8%) and $415,120 in FY2017.
- The five-year range for quarterly Change in Taxes is -$892,938 (Q2 2018) to $1.26 million (Q4 2018).
- Business Quant data shows HFFG's Change in Taxes at $507.00 (Q3 2019), -$283,937 (Q2 2019) and $296,773 (Q1 2019) in the three quarters before Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | -459.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 62.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | -242.45 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | -39.76 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 2.50 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | -205.09 Mn |
| 10 | HF Foods | 88.40 Mn | 89.44 Mn | 55.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 257,755.00 |
| Sep 30, 2019 | 507.00 |
| Jun 30, 2019 | -283,937.00 |
| Mar 31, 2019 | 296,773.00 |
| Dec 31, 2018 | 1.26 Mn |
| Sep 30, 2018 | -359,898.00 |
| Jun 30, 2018 | -892,938.00 |
| Mar 31, 2018 | 506,878.00 |
| Dec 31, 2017 | 214,397.00 |
API Access
HF Foods Change in Taxes 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=change-in-taxes&ticker=HFFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=HFFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();