British American Tobacco p.l.c (BTI) Operating Expenses (2016 - 2017)
British American Tobacco p.l.c (BTI) recorded Operating Expenses of $418 million in the quarter ended Mar 31, 2017, down 10.1% from $465 million a year earlier.
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Analysis
British American Tobacco p.l.c (BTI) Operating Expenses (2016 - 2017) Analysis & Trends
For the year ended Dec 31, 2016, British American Tobacco p.l.c reported Operating Expenses of -$749.66 million.
- Across earlier years, Operating Expenses came in at $2.1 billion in the year ended Dec 31, 2015 (+12.1%) and $1.87 billion in the year ended Dec 31, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Verano Holdings | 871.29 Mn | 544.91 Mn | 99.70 Mn | 96.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 418.00 Mn |
| Dec 31, 2016 | -749.66 Mn |
| Mar 31, 2016 | 465.00 Mn |
API Access
British American Tobacco p.l.c Operating Expenses 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=operating-expenses&ticker=BTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();