British American Tobacco p.l.c (BTI) Land & Improvements (2013 - 2015)
British American Tobacco p.l.c (BTI) reported Land & Improvements of $95 million for the quarter ended Dec 31, 2016, up 1.1% from $94 million a year earlier.
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Analysis
British American Tobacco p.l.c (BTI) Land & Improvements (2013 - 2015) Analysis & Trends
Dating back to the quarter ended Dec 31, 2013, British American Tobacco p.l.c's Land & Improvements record includes 4 quarters.
- Land & Improvements has a three-year compound annual growth rate of 0.7% (years ended Dec 2013 to Dec 2016).
- By year, Land & Improvements came in at $94 million in the year ended Dec 31, 2015 (unchanged), $94 million in the year ended Dec 31, 2014 (+1.1%) and $93 million in the year ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.65 Bn | 279.64 Bn | 7.85 Bn | - |
| 2 | British American Tobacco p.l.c | 132.07 Bn | 108.44 Bn | - | - |
| 3 | Altria | 126.20 Bn | 113.13 Bn | 3.94 Bn | - |
| 4 | Curaleaf Holdings | 2.38 Bn | 2.00 Bn | 170.48 Mn | - |
| 5 | Trulieve Cannabis | 2.08 Bn | 693.46 Mn | 162.29 Mn | - |
| 6 | RLX Technology | 1.95 Bn | -1.82 Bn | 52.74 Mn | - |
| 7 | Green Thumb Industries | 1.45 Bn | 220.58 Mn | 146.79 Mn | - |
| 8 | Cronos | 1.36 Bn | -1.91 Bn | 28.45 Mn | - |
| 9 | Turning Point Brands | 1.28 Bn | 386.04 Mn | 93.70 Mn | - |
| 10 | Tilray Brands | 380.69 Mn | -586.82 Mn | 77.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 94.00 Mn |
| Dec 31, 2014 | 94.00 Mn |
| Dec 31, 2013 | 93.00 Mn |
API Access
British American Tobacco p.l.c 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=BTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "BTI", "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=BTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();