Columbia Financial (CLBK) EBITDA (2016 - 2026)
Columbia Financial (CLBK) reported EBITDA of $80.01 million for Q1 2026, up 4.6% from $76.46 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Columbia Financial (CLBK) EBITDA (2016 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Columbia Financial's EBITDA came in at $331.63 million, up 19.9% year-over-year; for FY2025, it came in at $328.08 million, up 22.4% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, EBITDA came in at $267.95 million in FY2024 (+9.2%), $245.27 million in FY2023 (+45.1%), $169.07 million in FY2022 (-1.1%) and $170.94 million in FY2021 (+8.2%).
- Five-year quarterly EBITDA spans a low of $35.59 million in Q1 2022 and a high of $85.6 million in Q3 2025.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 20.7% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2025 (growth of 95.2%); the low point was Q4 2024 (a decline of 40.3%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $84.09 million (Q4 2025), $85.6 million (Q3 2025) and $81.94 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Columbia Financial | 1.15 Bn | 4.70 Mn | - | 80.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 80.01 Mn |
| Dec 31, 2025 | 84.09 Mn |
| Sep 30, 2025 | 85.60 Mn |
| Jun 30, 2025 | 81.94 Mn |
| Mar 31, 2025 | 76.46 Mn |
| Dec 31, 2024 | 43.07 Mn |
| Sep 30, 2024 | 80.52 Mn |
| Jun 30, 2024 | 76.64 Mn |
| Mar 31, 2024 | 67.72 Mn |
| Dec 31, 2023 | 72.18 Mn |
| Sep 30, 2023 | 64.29 Mn |
| Jun 30, 2023 | 49.45 Mn |
| Mar 31, 2023 | 59.35 Mn |
| Dec 31, 2022 | 52.45 Mn |
| Sep 30, 2022 | 41.21 Mn |
| Jun 30, 2022 | 39.83 Mn |
| Mar 31, 2022 | 35.59 Mn |
| Dec 31, 2021 | 41.52 Mn |
| Sep 30, 2021 | 39.31 Mn |
| Jun 30, 2021 | 48.39 Mn |
API Access
Columbia Financial EBITDA 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=ebitda&ticker=CLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();