British American Tobacco p.l.c (BTI) Other Operating Expenses (2015 - 2024)
British American Tobacco p.l.c (BTI) posted Other Operating Expenses of -$7.77 billion for the year ended Dec 31, 2025, compared with -$16.74 billion a year earlier.
British American Tobacco p.l.c (BTI) Other Operating Expenses (2015 - 2024) Analysis & Trends
Since the year ended Dec 31, 2013, British American Tobacco p.l.c has reported Other Operating Expenses for 13 years.
- The figure for the year ended Dec 31, 2025 stands as the highest annual Other Operating Expenses since the year ended Dec 31, 2017.
- Business Quant data shows BTI's Other Operating Expenses at -$16.74 billion in the year ended Dec 31, 2024, -$9.38 billion in the year ended Dec 31, 2023, -$11.16 billion in the year ended Dec 31, 2022 and -$10.28 billion in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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, 2024 | -16.69 Mn |
| Dec 31, 2023 | -7.45 Mn |
| Dec 31, 2022 | -1.17 Mn |
| Dec 31, 2021 | -8.09 Mn |
| Dec 31, 2020 | 512.33 Mn |
| Dec 31, 2019 | 318.86 Mn |
| Dec 31, 2018 | -8.58 Bn |
| Dec 31, 2017 | -6.22 Bn |
| Dec 31, 2016 | 1.27 Bn |
| Dec 31, 2015 | 969.68 Mn |
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();