Columbia Financial (CLBK) Accumulated Expenses (2017 - 2026)
Columbia Financial's Accumulated Expenses came in at $173.4 million for Q1 2026, up 9.9% from $157.71 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Columbia Financial (CLBK) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Columbia Financial's Accumulated Expenses was $184.72 million, up 6.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $172.92 million in FY2024 (-7.3%), $186.47 million in FY2023 (+3.1%), $180.91 million in FY2022 (+12.4%) and $161.02 million in FY2021 (-8.9%).
- The five-year range for quarterly Accumulated Expenses is $138.99 million (Q1 2022) to $214.31 million (Q3 2023).
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 5.1%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 23.5%), and the weakest in Q1 2022 (a decline of 51.8%).
- Business Quant data shows CLBK's Accumulated Expenses at $184.72 million (Q4 2025), $166.77 million (Q3 2025) and $160.73 million (Q2 2025) in the three quarters before Q1 2026.
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 | Columbia Financial | 1.15 Bn | 4.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 173.40 Mn |
| Dec 31, 2025 | 184.72 Mn |
| Sep 30, 2025 | 166.77 Mn |
| Jun 30, 2025 | 160.73 Mn |
| Mar 31, 2025 | 157.71 Mn |
| Dec 31, 2024 | 172.92 Mn |
| Sep 30, 2024 | 185.86 Mn |
| Jun 30, 2024 | 203.57 Mn |
| Mar 31, 2024 | 193.76 Mn |
| Dec 31, 2023 | 186.47 Mn |
| Sep 30, 2023 | 214.31 Mn |
| Jun 30, 2023 | 179.90 Mn |
| Mar 31, 2023 | 167.26 Mn |
| Dec 31, 2022 | 180.91 Mn |
| Sep 30, 2022 | 199.15 Mn |
| Jun 30, 2022 | 178.23 Mn |
| Mar 31, 2022 | 138.99 Mn |
| Dec 31, 2021 | 161.02 Mn |
| Sep 30, 2021 | 161.22 Mn |
| Jun 30, 2021 | 169.28 Mn |
API Access
Columbia Financial 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=CLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();