Columbia Financial (CLBK) EV to EBITDA (2025 - 2026)
Columbia Financial's EV to EBITDA was 1.65 in Q1 2026, up 0.7% from 1.64 a year earlier and up 39.8% from the prior quarter.
Columbia Financial (CLBK) EV to EBITDA (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbia Financial's EV to EBITDA was -0.96 through Mar 31, 2026; for FY2025, it was 1.18, down 31.0% from FY2024.
- EV to EBITDA has now declined for four consecutive years.
- In earlier years, EV to EBITDA was 1.71 in FY2024 (-14.9%), 2.00 in FY2023 (-61.9%), 5.26 in FY2022 (-4.9%) and 5.53 in FY2021 (+145.3%).
- The Q1 2026 figure marks the highest quarterly EV to EBITDA since Q4 2024.
- Compared with a year earlier, EV to EBITDA was higher in two of the last eight quarters, with an average decline of 15.0%.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2021 (growth of 145.3%); the worst was Q2 2024 (a decline of 68.8%).
- Per Business Quant data, CLBK's EV to EBITDA in the three quarters before Q1 2026 was 1.18 (Q4 2025), 1.58 (Q3 2025) and 1.55 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Columbia Financial | 3.05 Bn | 864.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100.42 |
| Jun 30, 2026 | -2.58 |
| Mar 31, 2026 | 14.95 |
| Dec 31, 2025 | 12.28 |
Columbia Financial EV to 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=ev-to-ebitda&ticker=CLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();