Columbia Financial (CLBK) Operating Expenses (2016 - 2026)
Columbia Financial (CLBK) reported Operating Expenses of $47.49 million for Q1 2026, up 8.3% from $43.85 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Columbia Financial (CLBK) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Columbia Financial's Operating Expenses came in at $184.53 million, up 2.8% year-over-year; for FY2025, it was $180.89 million, down 0.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $181.34 million in FY2024 (-0.6%), $182.42 million in FY2023 (+4.3%), $174.82 million in FY2022 (+12.3%) and $155.74 million in FY2021 (-1.5%).
- The Q1 2026 figure ranks as the highest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 0.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 29.1%); the low point was Q3 2021 (a decline of 10.5%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $47.06 million (Q4 2025), $45.09 million (Q3 2025) and $44.91 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Columbia Financial | 1.15 Bn | 4.70 Mn | - | 47.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 47.49 Mn |
| Dec 31, 2025 | 47.06 Mn |
| Sep 30, 2025 | 45.09 Mn |
| Jun 30, 2025 | 44.91 Mn |
| Mar 31, 2025 | 43.85 Mn |
| Dec 31, 2024 | 46.60 Mn |
| Sep 30, 2024 | 42.83 Mn |
| Jun 30, 2024 | 46.25 Mn |
| Mar 31, 2024 | 45.66 Mn |
| Dec 31, 2023 | 48.00 Mn |
| Sep 30, 2023 | 42.91 Mn |
| Jun 30, 2023 | 47.61 Mn |
| Mar 31, 2023 | 43.90 Mn |
| Dec 31, 2022 | 44.51 Mn |
| Sep 30, 2022 | 47.84 Mn |
| Jun 30, 2022 | 41.72 Mn |
| Mar 31, 2022 | 40.75 Mn |
| Dec 31, 2021 | 43.37 Mn |
| Sep 30, 2021 | 37.05 Mn |
| Jun 30, 2021 | 37.61 Mn |
API Access
Columbia Financial Operating 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=operating-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();