Bank of N.T. Butterfield & Son (NTB) Accumulated Expenses (2013 - 2026)
Bank of N.T. Butterfield & Son (NTB) posted Accumulated Expenses of $202.8 million for the quarter ended Jun 30, 2026, up 4.6% from $193.9 million a year earlier and up 6.7% from the prior quarter.
Bank of N.T. Butterfield & Son (NTB) Accumulated Expenses (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Bank of N.T. Butterfield & Son's Accumulated Expenses came in at $170.5 million, down 10.2% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -3.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Bank of N.T. Butterfield & Son's Accumulated Expenses was $189.8 million in the year ended Dec 31, 2024 (-3.4%), $196.53 million in the year ended Dec 31, 2023 (+5.7%), $185.86 million in the year ended Dec 31, 2022 (-1.9%) and $189.38 million in the year ended Dec 31, 2021 (-7.1%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Accumulated Expenses since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 2.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Sep 30, 2024, with growth of 39.2%; the weakest was the quarter ended Sep 30, 2025, with a decline of 38.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $190.13 million (quarter ended Mar 31, 2026), $170.5 million (quarter ended Dec 31, 2025) and $174.56 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Bank of N.T. Butterfield & Son | 2.31 Bn | -8.45 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.80 Mn |
| Mar 31, 2026 | 190.13 Mn |
| Dec 31, 2025 | 170.50 Mn |
| Sep 30, 2025 | 174.56 Mn |
| Jun 30, 2025 | 193.90 Mn |
| Mar 31, 2025 | 171.64 Mn |
| Dec 31, 2024 | 189.80 Mn |
| Sep 30, 2024 | 283.91 Mn |
| Jun 30, 2024 | 203.80 Mn |
| Mar 31, 2024 | 214.62 Mn |
| Dec 31, 2023 | 196.53 Mn |
| Sep 30, 2023 | 204.00 Mn |
| Jun 30, 2023 | 176.30 Mn |
| Mar 31, 2023 | 183.08 Mn |
| Dec 31, 2022 | 185.86 Mn |
| Sep 30, 2022 | 187.15 Mn |
| Jun 30, 2022 | 176.51 Mn |
| Mar 31, 2022 | 195.23 Mn |
| Dec 31, 2021 | 189.38 Mn |
| Sep 30, 2021 | 195.91 Mn |
Bank of N.T. Butterfield & Son Accumulated 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=accumulated-expenses&ticker=NTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();