Northfield Bancorp (NFBK) Accumulated Expenses (2012 - 2022)
Northfield Bancorp (NFBK) reported Accumulated Expenses of $39.04 million for Q4 2022, up 12.2% from $34.81 million a year earlier.
Analysis
Northfield Bancorp (NFBK) Accumulated Expenses (2012 - 2022) Analysis & Trends
Dating back to Q4 2012, Northfield Bancorp's Accumulated Expenses record includes 11 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 6.0% (FY2017 to FY2022).
- By year, Accumulated Expenses came in at $34.81 million in FY2021 (+16.8%), $29.81 million in FY2020 (-1.0%), $30.1 million in FY2019 (+5.3%) and $28.58 million in FY2018 (-2.2%).
- The Q4 2022 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2012.
Peer Set
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 | Northfield Bancorp | 639.40 Mn | -51.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 39.04 Mn |
| Dec 31, 2021 | 34.81 Mn |
| Dec 31, 2020 | 29.81 Mn |
| Dec 31, 2019 | 30.10 Mn |
| Dec 31, 2018 | 28.58 Mn |
| Dec 31, 2017 | 29.21 Mn |
| Dec 31, 2016 | 29.77 Mn |
| Dec 31, 2015 | 20.89 Mn |
| Dec 31, 2014 | 19.83 Mn |
| Dec 31, 2013 | 17.20 Mn |
| Dec 31, 2012 | 18.86 Mn |
API Access
Northfield Bancorp 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=NFBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NFBK", "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=NFBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();