California BanCorp \ CA (BCAL) EBITDA (2022 - 2026)
California BanCorp \ CA's EBITDA came in at $32.56 million for Q2 2026, down 9.2% from $35.85 million a year earlier but up 1.9% from the prior quarter.
California BanCorp \ CA (BCAL) EBITDA (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, California BanCorp \ CA reported EBITDA of $139.4 million, up 21.9% year-over-year; for FY2025, it was $150.46 million, up 118.8% from FY2024.
- EBITDA has increased in each of the last three years, with a three-year compound annual growth rate of 71.5% (FY2022 to FY2025).
- Going back by year, EBITDA was $68.75 million in FY2024 (+0.9%), $68.16 million in FY2023 (+128.6%) and $29.81 million in FY2022.
- The five-year range for quarterly EBITDA is -$4.18 million (Q3 2024) to $42.92 million (Q4 2024).
- Year-over-year, EBITDA has declined for three consecutive quarters, with growth averaging 73.2% over the last six quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2023 (growth of 409.9%), and the weakest in Q2 2024 (a decline of 33.0%).
- Business Quant data shows BCAL's EBITDA at $31.97 million (Q1 2026), $37.02 million (Q4 2025) and $37.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | California BanCorp \ CA | 687.48 Mn | -947.74 Mn | - | 32.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.56 Mn |
| Mar 31, 2026 | 31.97 Mn |
| Dec 31, 2025 | 37.02 Mn |
| Sep 30, 2025 | 37.85 Mn |
| Jun 30, 2025 | 35.85 Mn |
| Mar 31, 2025 | 39.74 Mn |
| Dec 31, 2024 | 42.92 Mn |
| Sep 30, 2024 | -4.18 Mn |
| Jun 30, 2024 | 11.55 Mn |
| Mar 31, 2024 | 18.46 Mn |
| Dec 31, 2023 | 16.74 Mn |
| Sep 30, 2023 | 18.11 Mn |
| Jun 30, 2023 | 17.24 Mn |
| Mar 31, 2023 | 16.06 Mn |
| Dec 31, 2022 | 15.06 Mn |
| Sep 30, 2022 | 11.53 Mn |
| Jun 30, 2022 | 79,000.00 |
| Mar 31, 2022 | 3.15 Mn |
California BanCorp \ CA 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=BCAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BCAL", "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=BCAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();