British American Tobacco p.l.c (BTI) Land & Improvements (2013 - 2016)
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.
British American Tobacco p.l.c (BTI) Land & Improvements (2013 - 2016) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | - |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | - |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | - |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | - |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | - |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | - |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | - |
| 10 | Verano Holdings | 808.33 Mn | 481.94 Mn | 99.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 95.00 Mn |
| Dec 31, 2015 | 94.00 Mn |
| Dec 31, 2014 | 94.00 Mn |
| Dec 31, 2013 | 93.00 Mn |
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_KEY
import 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();