Columbia Financial (CLBK) Non Operating Interest Expenses (2016 - 2024)
Columbia Financial (CLBK) recorded Non Operating Interest Expenses of $69.21 million in Q2 2024, up 53.8% from $44.99 million a year earlier and up 4.2% from the prior quarter.
Columbia Financial (CLBK) Non Operating Interest Expenses (2016 - 2024) Analysis & Trends
On a TTM basis, Columbia Financial's Non Operating Interest Expenses came in at $247.73 million as of Jun 30, 2024, up 130.8% year-over-year; for FY2023, it came in at $189.1 million, up 340.9% from FY2022.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 24.9% (FY2018 to FY2023).
- Across earlier years, Non Operating Interest Expenses came in at $42.89 million in FY2022 (+15.9%), $37.02 million in FY2021 (-50.1%), $74.14 million in FY2020 (-16.4%) and $88.71 million in FY2019 (+42.5%).
- The Q2 2024 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q4 2016.
- On a year-over-year basis, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 242.6% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 584.7% in Q2 2023, against a decline of 54.6% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.43 million (Q1 2024), $62.21 million (Q4 2023) and $49.88 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Columbia Financial | 1.15 Bn | 4.70 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 69.21 Mn |
| Mar 31, 2024 | 66.43 Mn |
| Dec 31, 2023 | 62.21 Mn |
| Sep 30, 2023 | 49.88 Mn |
| Jun 30, 2023 | 44.99 Mn |
| Mar 31, 2023 | 32.02 Mn |
| Dec 31, 2022 | 19.54 Mn |
| Sep 30, 2022 | 10.77 Mn |
| Jun 30, 2022 | 6.57 Mn |
| Mar 31, 2022 | 6.01 Mn |
| Dec 31, 2021 | 7.62 Mn |
| Sep 30, 2021 | 8.70 Mn |
| Jun 30, 2021 | 9.80 Mn |
| Mar 31, 2021 | 10.90 Mn |
| Dec 31, 2020 | 13.83 Mn |
| Sep 30, 2020 | 16.61 Mn |
| Jun 30, 2020 | 19.72 Mn |
| Mar 31, 2020 | 23.99 Mn |
| Dec 31, 2019 | 23.60 Mn |
| Sep 30, 2019 | 22.72 Mn |
Columbia Financial Non Operating Interest 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=non-operating-interest-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CLBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();