Tandy Leather Factory (TLF) Land & Improvements (2009 - 2018)
Tandy Leather Factory (TLF) recorded Land & Improvements of $1.45 million in Q4 2018, unchanged from $1.45 million a year earlier.
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Analysis
Tandy Leather Factory (TLF) Land & Improvements (2009 - 2018) Analysis & Trends
Starting with Q4 2013, Tandy Leather Factory's Land & Improvements history includes 5 quarters.
- Annual Land & Improvements has a five-year compound annual growth rate of 0.0% (FY2013 to FY2018).
- Across earlier years, Land & Improvements came in at $1.45 million in FY2017 (unchanged), $1.45 million in FY2016 and $1.45 million in FY2014 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | - |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 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 | 1.84 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 1.71 Bn |
| 10 | Tandy Leather Factory | 17.04 Mn | -21.31 Mn | 11.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.45 Mn |
| Dec 31, 2017 | 1.45 Mn |
| Dec 31, 2016 | 1.45 Mn |
| Dec 31, 2014 | 1.45 Mn |
| Dec 31, 2013 | 1.45 Mn |
| Dec 31, 2012 | 1.45 Mn |
| Dec 31, 2011 | 1.45 Mn |
| Dec 31, 2010 | 1.45 Mn |
| Dec 31, 2009 | 1.45 Mn |
API Access
Tandy Leather Factory Land & Improvements 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=land-and-improvements&ticker=TLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();