Bank of N.T. Butterfield & Son (NTB) Exchange Rate Effect (2015 - 2026)
Bank of N.T. Butterfield & Son's Exchange Rate Effect came in at $8.68 million for the quarter ended Jun 30, 2026, down 80.6% from $44.69 million a year earlier.
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Analysis
Bank of N.T. Butterfield & Son (NTB) Exchange Rate Effect (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank of N.T. Butterfield & Son reported Exchange Rate Effect of -$10.37 million; for the year ended Dec 31, 2025, it came in at $51.86 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 4.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Exchange Rate Effect was -$3.69 million in the year ended Dec 31, 2024, $21.55 million in the year ended Dec 31, 2023, -$91.44 million in the year ended Dec 31, 2022 and $7.54 million in the year ended Dec 31, 2021 (-82.4%).
- The five-year range for quarterly Exchange Rate Effect is -$87.92 million (the quarter ended Dec 31, 2024) to $86.28 million (the quarter ended Sep 30, 2024).
- Business Quant data shows NTB's Exchange Rate Effect at -$10.37 million (quarter ended Mar 31, 2026), -$1.17 million (quarter ended Dec 31, 2025) and -$7.51 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Bank of N.T. Butterfield & Son | 2.35 Bn | -8.42 Bn | - | 8.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.68 Mn |
| Mar 31, 2026 | -10.37 Mn |
| Dec 31, 2025 | -1.17 Mn |
| Sep 30, 2025 | -7.51 Mn |
| Jun 30, 2025 | 44.69 Mn |
| Mar 31, 2025 | 15.85 Mn |
| Dec 31, 2024 | -87.92 Mn |
| Sep 30, 2024 | 86.28 Mn |
| Jun 30, 2024 | 2.18 Mn |
| Mar 31, 2024 | -4.23 Mn |
| Dec 31, 2023 | 23.50 Mn |
| Sep 30, 2023 | -26.11 Mn |
| Jun 30, 2023 | 18.35 Mn |
| Mar 31, 2023 | 5.81 Mn |
| Dec 31, 2022 | 47.84 Mn |
| Sep 30, 2022 | -41.70 Mn |
| Jun 30, 2022 | -67.64 Mn |
| Mar 31, 2022 | -29.95 Mn |
| Dec 31, 2021 | 7.61 Mn |
| Sep 30, 2021 | 76,000.00 |
API Access
Bank of N.T. Butterfield & Son 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=NTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NTB", "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=NTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();