California BanCorp \ CA (BCAL) Operating Expenses (2022 - 2026)
California BanCorp \ CA (BCAL) recorded Operating Expenses of $24.35 million in Q2 2026, down 2.0% from $24.83 million a year earlier and down 4.6% from the prior quarter.
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Analysis
California BanCorp \ CA (BCAL) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, California BanCorp \ CA's Operating Expenses came in at $101.15 million as of Jun 30, 2026, down 10.9% year-over-year; for FY2025, it was $101.04 million, up 3.3% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 16.7% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $97.79 million in FY2024 (+63.7%), $59.75 million in FY2023 (-5.9%) and $63.52 million in FY2022.
- Quarterly Operating Expenses has ranged from $13.11 million in Q4 2022 to $37.68 million in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 36.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 154.9% in Q3 2024, against a decline of 37.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.51 million (Q1 2026), $27.91 million (Q4 2025) and $23.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | California BanCorp \ CA | 687.48 Mn | -947.74 Mn | - | 24.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.35 Mn |
| Mar 31, 2026 | 25.51 Mn |
| Dec 31, 2025 | 27.91 Mn |
| Sep 30, 2025 | 23.38 Mn |
| Jun 30, 2025 | 24.83 Mn |
| Mar 31, 2025 | 24.92 Mn |
| Dec 31, 2024 | 26.13 Mn |
| Sep 30, 2024 | 37.68 Mn |
| Jun 30, 2024 | 19.01 Mn |
| Mar 31, 2024 | 14.98 Mn |
| Dec 31, 2023 | 15.34 Mn |
| Sep 30, 2023 | 14.78 Mn |
| Jun 30, 2023 | 14.61 Mn |
| Mar 31, 2023 | 15.02 Mn |
| Dec 31, 2022 | 13.11 Mn |
| Sep 30, 2022 | 13.15 Mn |
| Jun 30, 2022 | 21.71 Mn |
| Mar 31, 2022 | 15.55 Mn |
API Access
California BanCorp \ CA 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=BCAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BCAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();