Banc Of California (BANC) Operating Expenses (2010 - 2026)
Banc Of California's Operating Expenses was $189.87 million in Q2 2026, up 2.2% from $185.87 million a year earlier and up 4.7% from the prior quarter.
Banc Of California (BANC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Banc Of California's Operating Expenses was $737.59 million through Jun 30, 2026, down 1.3% year-over-year; for FY2025, it came in at $735.85 million, down 7.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $791.74 million in FY2024 (-67.8%), $2.46 billion in FY2023 (+217.8%), $773.52 million in FY2022 (+21.4%) and $637.42 million in FY2021 (+219.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2024.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 9.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 654.4%); the worst was Q1 2024 (a decline of 86.6%).
- Per Business Quant data, BANC's Operating Expenses in the three quarters before Q2 2026 was $181.39 million (Q1 2026), $180.64 million (Q4 2025) and $185.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Banc Of California | 2.72 Bn | -7.02 Bn | - | 189.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.87 Mn |
| Mar 31, 2026 | 181.39 Mn |
| Dec 31, 2025 | 180.64 Mn |
| Sep 30, 2025 | 185.68 Mn |
| Jun 30, 2025 | 185.87 Mn |
| Mar 31, 2025 | 183.65 Mn |
| Dec 31, 2024 | 181.37 Mn |
| Sep 30, 2024 | 196.21 Mn |
| Jun 30, 2024 | 203.64 Mn |
| Mar 31, 2024 | 210.52 Mn |
| Dec 31, 2023 | 363.64 Mn |
| Sep 30, 2023 | 201.10 Mn |
| Jun 30, 2023 | 320.44 Mn |
| Mar 31, 2023 | 1.57 Bn |
| Dec 31, 2022 | 48.20 Mn |
| Sep 30, 2022 | 50.96 Mn |
| Jun 30, 2022 | 48.61 Mn |
| Mar 31, 2022 | 46.60 Mn |
| Dec 31, 2021 | 58.13 Mn |
| Sep 30, 2021 | 37.81 Mn |
Banc Of California 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=BANC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BANC", "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=BANC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();