Bank of N.T. Butterfield & Son (NTB) Intangibles (2013 - 2026)
Bank of N.T. Butterfield & Son (NTB) reported Intangibles of $91.3 million for the quarter ended Jun 30, 2026, up 37.7% from $66.3 million a year earlier and up 54.9% from the prior quarter.
Bank of N.T. Butterfield & Son (NTB) Intangibles (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Bank of N.T. Butterfield & Son posted Intangibles of $61.4 million, down 7.0% from the prior year.
- Intangibles has a five-year compound annual growth rate of -1.8% (years ended Dec 2020 to Dec 2025).
- By year, Intangibles came in at $65.99 million in the year ended Dec 31, 2024 (-11.8%), $74.8 million in the year ended Dec 31, 2023 (+45.3%), $51.48 million in the year ended Dec 31, 2022 (-15.3%) and $60.75 million in the year ended Dec 31, 2021 (-9.6%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Intangibles in data going back to the quarter ended Dec 31, 2013.
- Year over year, Intangibles gained in two of the last eight quarters, with growth averaging 4.1%.
- The high point for year-over-year Intangibles in five years was the quarter ended Sep 30, 2024 (growth of 50.4%); the low point was the quarter ended Sep 30, 2022 (a decline of 18.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $58.94 million (quarter ended Mar 31, 2026), $61.4 million (quarter ended Dec 31, 2025) and $63.5 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 91.48 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 | - | 5.87 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 5.26 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 | - | 91.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.30 Mn |
| Mar 31, 2026 | 58.94 Mn |
| Dec 31, 2025 | 61.40 Mn |
| Sep 30, 2025 | 63.50 Mn |
| Jun 30, 2025 | 66.30 Mn |
| Mar 31, 2025 | 65.34 Mn |
| Dec 31, 2024 | 65.99 Mn |
| Sep 30, 2024 | 71.51 Mn |
| Jun 30, 2024 | 70.60 Mn |
| Mar 31, 2024 | 72.48 Mn |
| Dec 31, 2023 | 74.80 Mn |
| Sep 30, 2023 | 47.53 Mn |
| Jun 30, 2023 | 50.10 Mn |
| Mar 31, 2023 | 50.69 Mn |
| Dec 31, 2022 | 51.48 Mn |
| Sep 30, 2022 | 50.59 Mn |
| Jun 30, 2022 | 54.50 Mn |
| Mar 31, 2022 | 58.27 Mn |
| Dec 31, 2021 | 60.75 Mn |
| Sep 30, 2021 | 62.03 Mn |
Bank of N.T. Butterfield & Son Intangibles 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=intangibles&ticker=NTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=NTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();