British American Tobacco p.l.c (BTI) Operating Income (2016 - 2017)
British American Tobacco p.l.c's Operating Income came in at $13.18 billion for the year ended Dec 31, 2025, up 276.9% from $3.5 billion a year earlier.
British American Tobacco p.l.c (BTI) Operating Income (2016 - 2017) Analysis & Trends
Going back to the year ended Dec 31, 2013, British American Tobacco p.l.c's Operating Income data covers 13 years.
- Operating Income carries a five-year compound annual growth rate of 0.6% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Operating Income since the year ended Dec 31, 2021.
- Per Business Quant, earlier years put Operating Income at $3.5 billion in the year ended Dec 31, 2024, -$19.59 billion in the year ended Dec 31, 2023, $13.02 billion in the year ended Dec 31, 2022 (-7.5%) and $14.08 billion in the year ended Dec 31, 2021 (+10.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.31 Bn | 283.88 Bn | 7.66 Bn | 4.53 Bn |
| 2 | British American Tobacco p.l.c | 126.84 Bn | 105.99 Bn | - | - |
| 3 | Altria | 114.73 Bn | 100.93 Bn | 3.82 Bn | 3.14 Bn |
| 4 | Curaleaf Holdings | 2.84 Bn | 2.44 Bn | 169.91 Mn | 4.22 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 19.22 Mn |
| 6 | Trulieve Cannabis | 2.39 Bn | 1.00 Bn | 162.29 Mn | -370.52 Mn |
| 7 | Green Thumb Industries | 1.49 Bn | 344.56 Mn | 137.87 Mn | 19.97 Mn |
| 8 | Cronos | 1.25 Bn | -1.97 Bn | 28.45 Mn | 7.40 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 336.94 Mn | 93.70 Mn | 16.71 Mn |
| 10 | Verano Holdings | 877.15 Mn | 550.77 Mn | 99.70 Mn | 3.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 1.33 Bn |
| Dec 31, 2016 | 6.81 Bn |
| Mar 31, 2016 | 6.14 Bn |
British American Tobacco p.l.c Operating Income 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-income&ticker=BTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=BTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();