Customers Bancorp (CUBI) Other Operating Expenses (2011 - 2026)
Customers Bancorp (CUBI) recorded Other Operating Expenses of $12.89 million in Q2 2026, down 6.9% from $13.85 million a year earlier but up 10.2% from the prior quarter.
Customers Bancorp (CUBI) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Customers Bancorp's Other Operating Expenses came in at $49.26 million as of Jun 30, 2026, down 6.6% year-over-year; for FY2025, it was $50.38 million, down 22.7% from FY2024.
- Annual Other Operating Expenses has declined for three straight years, with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $65.15 million in FY2024 (-0.6%), $65.55 million in FY2023 (-22.9%), $85 million in FY2022 (+1.7%) and $83.54 million in FY2021 (+64.9%).
- Quarterly Other Operating Expenses has ranged from $11.7 million in Q1 2026 to $24.07 million in Q1 2022 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for nine consecutive quarters, with an average decline of 15.0% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 63.6% in Q3 2021, against a decline of 45.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.7 million (Q1 2026), $12.39 million (Q4 2025) and $12.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Customers Bancorp | 2.50 Bn | -15.07 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.89 Mn |
| Mar 31, 2026 | 11.70 Mn |
| Dec 31, 2025 | 12.39 Mn |
| Sep 30, 2025 | 12.28 Mn |
| Jun 30, 2025 | 13.85 Mn |
| Mar 31, 2025 | 11.86 Mn |
| Dec 31, 2024 | 13.44 Mn |
| Sep 30, 2024 | 13.59 Mn |
| Jun 30, 2024 | 16.23 Mn |
| Mar 31, 2024 | 21.90 Mn |
| Dec 31, 2023 | 16.89 Mn |
| Sep 30, 2023 | 15.67 Mn |
| Jun 30, 2023 | 16.41 Mn |
| Mar 31, 2023 | 16.59 Mn |
| Dec 31, 2022 | 18.60 Mn |
| Sep 30, 2022 | 19.59 Mn |
| Jun 30, 2022 | 22.74 Mn |
| Mar 31, 2022 | 24.07 Mn |
| Dec 31, 2021 | 22.66 Mn |
| Sep 30, 2021 | 21.28 Mn |
Customers Bancorp Other 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=other-operating-expenses&ticker=CUBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();