Customers Bancorp (CUBI) Operating Expenses (2011 - 2026)
Customers Bancorp (CUBI) posted Operating Expenses of $114.89 million for Q2 2026, up 7.8% from $106.63 million a year earlier and up 2.6% from the prior quarter.
Customers Bancorp (CUBI) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Customers Bancorp was $449.41 million, up 6.0% year-over-year; for FY2025, it came in at $431.92 million, up 3.6% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In prior years, Customers Bancorp's Operating Expenses was $417.01 million in FY2024 (+18.2%), $352.66 million in FY2023 (+15.8%), $304.63 million in FY2022 (+3.5%) and $294.31 million in FY2021 (+36.9%).
- Quarterly Operating Expenses has run from a low of $73.81 million in Q1 2022 to a high of $117.31 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 14 quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 42.1%; the weakest was Q3 2022, with a decline of 4.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $111.99 million (Q1 2026), $117.31 million (Q4 2025) and $105.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Customers Bancorp | 2.56 Bn | -15.01 Bn | - | 114.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.89 Mn |
| Mar 31, 2026 | 111.99 Mn |
| Dec 31, 2025 | 117.31 Mn |
| Sep 30, 2025 | 105.22 Mn |
| Jun 30, 2025 | 106.63 Mn |
| Mar 31, 2025 | 102.77 Mn |
| Dec 31, 2024 | 110.38 Mn |
| Sep 30, 2024 | 104.02 Mn |
| Jun 30, 2024 | 103.45 Mn |
| Mar 31, 2024 | 99.17 Mn |
| Dec 31, 2023 | 93.77 Mn |
| Sep 30, 2023 | 89.47 Mn |
| Jun 30, 2023 | 89.30 Mn |
| Mar 31, 2023 | 80.13 Mn |
| Dec 31, 2022 | 78.42 Mn |
| Sep 30, 2022 | 76.20 Mn |
| Jun 30, 2022 | 76.21 Mn |
| Mar 31, 2022 | 73.81 Mn |
| Dec 31, 2021 | 81.55 Mn |
| Sep 30, 2021 | 80.01 Mn |
Customers Bancorp 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=CUBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CUBI", "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=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();