British American Tobacco p.l.c (BTI) Interest Expenses (2016 - 2018)
British American Tobacco p.l.c (BTI) reported Interest Expenses of -$2.4 billion for the year ended Dec 31, 2025, compared with -$1.4 billion a year earlier.
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Analysis
British American Tobacco p.l.c (BTI) Interest Expenses (2016 - 2018) Analysis & Trends
Dating back to the year ended Dec 31, 2014, British American Tobacco p.l.c's Interest Expenses record includes 12 years.
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Interest Expenses in data going back to the year ended Dec 31, 2014.
- According to Business Quant data, Interest Expenses came in at -$1.4 billion in the year ended Dec 31, 2024, -$2.36 billion in the year ended Dec 31, 2023, -$2.03 billion in the year ended Dec 31, 2022 and -$2.04 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 12.76 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 6.10 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 | 7.80 Mn |
| 10 | Verano Holdings | 808.33 Mn | 481.94 Mn | 99.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -1.91 Bn |
| Dec 31, 2017 | -1.59 Bn |
| Mar 31, 2017 | 149.00 Mn |
| Dec 31, 2016 | -846.63 Mn |
| Mar 31, 2016 | 174.00 Mn |
API Access
British American Tobacco p.l.c Interest 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=interest-expenses&ticker=BTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=BTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();