Cvb Financial (CVBF) Operating Expenses (2009 - 2026)
Cvb Financial (CVBF) recorded Operating Expenses of $114.38 million in Q2 2026, up 98.7% from $57.56 million a year earlier and up 88.8% from the prior quarter.
Cvb Financial (CVBF) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Cvb Financial's Operating Expenses came in at $295.51 million as of Jun 30, 2026, up 26.3% year-over-year; for FY2025, it came in at $237.27 million, up 1.6% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $233.58 million in FY2024 (+1.6%), $229.89 million in FY2023 (+6.2%), $216.56 million in FY2022 (+14.1%) and $189.79 million in FY2021 (-1.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2011.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 98.7% in Q2 2026, against a decline of 11.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $60.57 million (Q1 2026), $61.99 million (Q4 2025) and $58.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Cvb Financial | 4.00 Bn | 1.81 Bn | - | 90.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.48 Mn |
| Jun 30, 2026 | 114.38 Mn |
| Mar 31, 2026 | 60.57 Mn |
| Dec 31, 2025 | 61.99 Mn |
| Sep 30, 2025 | 58.58 Mn |
| Jun 30, 2025 | 57.56 Mn |
| Mar 31, 2025 | 59.14 Mn |
| Dec 31, 2024 | 58.48 Mn |
| Sep 30, 2024 | 58.84 Mn |
| Jun 30, 2024 | 56.50 Mn |
| Mar 31, 2024 | 59.77 Mn |
| Dec 31, 2023 | 65.93 Mn |
| Sep 30, 2023 | 55.06 Mn |
| Jun 30, 2023 | 54.02 Mn |
| Mar 31, 2023 | 54.88 Mn |
| Dec 31, 2022 | 54.42 Mn |
| Sep 30, 2022 | 53.03 Mn |
| Jun 30, 2022 | 50.87 Mn |
| Mar 31, 2022 | 58.24 Mn |
| Dec 31, 2021 | 47.98 Mn |
Cvb Financial 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=CVBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVBF", "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=CVBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();