British American Tobacco p.l.c (BTI) Other Operating Expenses (2016 - 2024)
British American Tobacco p.l.c (BTI) reported Other Operating Expenses of -$7.93 billion for the year ended Dec 31, 2016, compared with -$7.81 billion a year earlier.
British American Tobacco p.l.c (BTI) Other Operating Expenses (2016 - 2024) Analysis & Trends
Dating back to the year ended Dec 31, 2013, British American Tobacco p.l.c's Other Operating Expenses record includes 4 years.
- According to Business Quant data, Other Operating Expenses came in at -$7.81 billion in the year ended Dec 31, 2015, -$4.06 billion in the year ended Dec 31, 2014 and -$3.68 billion in the year ended Dec 31, 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 310.09 Bn | 289.08 Bn | 7.85 Bn |
| 2 | British American Tobacco p.l.c | 143.09 Bn | 119.75 Bn | - |
| 3 | Altria | 130.85 Bn | 117.83 Bn | 3.94 Bn |
| 4 | RLX Technology | 2.40 Bn | -1.35 Bn | 52.74 Mn |
| 5 | Curaleaf Holdings | 2.08 Bn | 1.70 Bn | 170.48 Mn |
| 6 | Trulieve Cannabis | 1.86 Bn | 595.66 Mn | 148.02 Mn |
| 7 | Verano Holdings | 1.83 Bn | 1.48 Bn | 100.04 Mn |
| 8 | Green Thumb Industries | 1.49 Bn | 262.73 Mn | 146.79 Mn |
| 9 | Cronos | 1.24 Bn | -1.90 Bn | 32.28 Mn |
| 10 | Turning Point Brands | 1.10 Bn | 187.99 Mn | 85.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -16.69 Mn |
| Dec 31, 2023 | -7.45 Mn |
| Dec 31, 2022 | -1.17 Mn |
| Dec 31, 2021 | -8.09 Mn |
| Dec 31, 2018 | -8.58 Bn |
| Dec 31, 2016 | -4.55 Bn |
British American Tobacco p.l.c Other 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=other-operating-expenses&ticker=BTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();