Bank of N.T. Butterfield & Son (NTB) Restructuring Costs (2015 - 2023)
Bank of N.T. Butterfield & Son (NTB) posted Restructuring Costs of $1.9 million for the quarter ended Dec 31, 2023.
Analysis
Bank of N.T. Butterfield & Son (NTB) Restructuring Costs (2015 - 2023) Analysis & Trends
Since the quarter ended Dec 31, 2015, Bank of N.T. Butterfield & Son has reported Restructuring Costs for 14 quarters.
- Annual Restructuring Costs shows a four-year compound annual growth rate of -23.3% (years ended Dec 2019 to Dec 2023).
- In prior years, Bank of N.T. Butterfield & Son's Restructuring Costs was $5.5 million in the year ended Dec 31, 2019.
- The figure for the quarter ended Dec 31, 2023 stands as the highest quarterly Restructuring Costs since the quarter ended Sep 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Bank of N.T. Butterfield & Son | 2.35 Bn | -8.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.90 Mn |
| Dec 31, 2019 | 100,000.00 |
| Sep 30, 2019 | 3.60 Mn |
| Dec 31, 2018 | 100,000.00 |
| Sep 30, 2018 | -1.20 Mn |
| Dec 31, 2017 | 1.00 Mn |
| Sep 30, 2017 | 388,000.00 |
| Jun 30, 2017 | 633,000.00 |
| Mar 31, 2017 | 441,000.00 |
| Dec 31, 2016 | 1.10 Mn |
| Sep 30, 2016 | 564,000.00 |
| Jun 30, 2016 | 700,000.00 |
| Mar 31, 2016 | 4.46 Mn |
| Dec 31, 2015 | 200,000.00 |
API Access
Bank of N.T. Butterfield & Son Restructuring Costs 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=restructuring-costs&ticker=NTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=NTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();