Tandy Leather Factory (TLF) Change in Taxes (2014 - 2018)
Tandy Leather Factory (TLF) posted Change in Taxes of -$219,387 for Q3 2018, compared with -$492,084 a year earlier.
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Analysis
Tandy Leather Factory (TLF) Change in Taxes (2014 - 2018) Analysis & Trends
For the trailing twelve months through Sep 30, 2018, Change in Taxes at Tandy Leather Factory was -$1.67 million.
- The Q3 2018 figure stands as the highest quarterly Change in Taxes since Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | - |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | -552.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | - |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | -123.35 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 30.76 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 55.51 Mn |
| 10 | Tandy Leather Factory | 17.04 Mn | -21.31 Mn | 11.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 858,560.00 |
| Sep 30, 2018 | -219,387.00 |
| Dec 31, 2017 | 337,813.00 |
| Sep 30, 2017 | -492,084.00 |
| Sep 30, 2016 | -471,701.00 |
| Jun 30, 2016 | -577,175.00 |
| Mar 31, 2016 | 360,847.00 |
| Sep 30, 2015 | -244,767.00 |
| Jun 30, 2015 | -710,390.00 |
| Mar 31, 2015 | 423,403.00 |
| Sep 30, 2014 | 4,978.00 |
| Jun 30, 2014 | -1.07 Mn |
| Mar 31, 2014 | 332,579.00 |
API Access
Tandy Leather Factory 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=TLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "TLF", "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=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();