Columbia Financial (CLBK) Interest Expenses (2016 - 2026)
Columbia Financial (CLBK) recorded Interest Expenses of $58.48 million in Q1 2026, down 5.4% from $61.84 million a year earlier and down 5.2% from the prior quarter.
Columbia Financial (CLBK) Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Columbia Financial's Interest Expenses came in at $245.96 million as of Mar 31, 2026, down 8.5% year-over-year; for FY2025, it came in at $249.32 million, down 8.8% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $273.44 million in FY2024 (+44.6%), $189.1 million in FY2023 (+340.9%), $42.89 million in FY2022 (+15.9%) and $37.02 million in FY2021 (-50.1%).
- The Q1 2026 figure is the lowest quarterly Interest Expenses since Q3 2023.
- On a year-over-year basis, Interest Expenses has declined for five consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 584.7% in Q2 2023, against a decline of 50.3% in Q2 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.66 million (Q4 2025), $63.03 million (Q3 2025) and $62.79 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 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 | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 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 | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Columbia Financial | 1.15 Bn | 4.70 Mn | - | 58.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 58.48 Mn |
| Dec 31, 2025 | 61.66 Mn |
| Sep 30, 2025 | 63.03 Mn |
| Jun 30, 2025 | 62.79 Mn |
| Mar 31, 2025 | 61.84 Mn |
| Dec 31, 2024 | 67.20 Mn |
| Sep 30, 2024 | 70.61 Mn |
| 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 |
Columbia Financial 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=interest-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();