Bank of N.T. Butterfield & Son (NTB) Change in Accured Expenses (2015 - 2026)
Bank of N.T. Butterfield & Son (NTB) recorded Change in Accured Expenses of $15.53 million in the quarter ended Jun 30, 2026, down 4.1% from $16.19 million a year earlier.
Bank of N.T. Butterfield & Son (NTB) Change in Accured Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Bank of N.T. Butterfield & Son's Change in Accured Expenses came in at $22.65 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$1.82 million.
- Across earlier years, Change in Accured Expenses came in at -$13.46 million in the year ended Dec 31, 2024, $10.96 million in the year ended Dec 31, 2023, -$65,000 in the year ended Dec 31, 2022 and -$13.8 million in the year ended Dec 31, 2021.
- Quarterly Change in Accured Expenses has ranged from -$27.83 million in the quarter ended Mar 31, 2025 to $26.2 million in the quarter ended Dec 31, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2.7 million (quarter ended Mar 31, 2026), $26.2 million (quarter ended Dec 31, 2025) and -$16.38 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Bank of N.T. Butterfield & Son | 2.35 Bn | -8.42 Bn | - | 15.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.53 Mn |
| Mar 31, 2026 | -2.70 Mn |
| Dec 31, 2025 | 26.20 Mn |
| Sep 30, 2025 | -16.38 Mn |
| Jun 30, 2025 | 16.19 Mn |
| Mar 31, 2025 | -27.83 Mn |
| Dec 31, 2024 | -12.31 Mn |
| Sep 30, 2024 | 10.51 Mn |
| Jun 30, 2024 | -7.42 Mn |
| Mar 31, 2024 | -4.23 Mn |
| Dec 31, 2023 | 17.31 Mn |
| Sep 30, 2023 | 7.72 Mn |
| Jun 30, 2023 | -8.98 Mn |
| Mar 31, 2023 | -5.10 Mn |
| Dec 31, 2022 | -11.07 Mn |
| Sep 30, 2022 | 17.85 Mn |
| Jun 30, 2022 | -12.39 Mn |
| Mar 31, 2022 | 5.55 Mn |
| Dec 31, 2021 | -7.28 Mn |
| Sep 30, 2021 | 4.55 Mn |
Bank of N.T. Butterfield & Son Change in Accured 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=change-in-accured-expenses&ticker=NTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();