British American Tobacco p.l.c (BTI) Exchange Rate Effect (2016)
British American Tobacco p.l.c (BTI) reported Exchange Rate Effect of -$100.21 million for the year ended Dec 31, 2025, compared with -$359.2 million a year earlier.
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Analysis
British American Tobacco p.l.c (BTI) Exchange Rate Effect (2016) Analysis & Trends
Dating back to the year ended Dec 31, 2013, British American Tobacco p.l.c's Exchange Rate Effect record includes 13 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Exchange Rate Effect since the year ended Dec 31, 2022.
- According to Business Quant data, Exchange Rate Effect came in at -$359.2 million in the year ended Dec 31, 2024, -$363.2 million in the year ended Dec 31, 2023, $533.41 million in the year ended Dec 31, 2022 and -$348.1 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | 11.00 Mn |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | - |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | -244,000.00 |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | -16.95 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | - |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | - |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 334,000.00 |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 596,000.00 |
| 10 | Verano Holdings | 871.29 Mn | 544.91 Mn | 99.70 Mn | - |
API Access
British American Tobacco p.l.c Exchange Rate Effect 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=exchange-rate-effect&ticker=BTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();