Customers Bancorp (CUBI) Professional Fees (2011 - 2026)
Customers Bancorp's Professional Fees was $7.77 million in Q3 2026, down 36.8% from $12.28 million a year earlier and down 22.5% from the prior quarter.
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Analysis
Customers Bancorp (CUBI) Professional Fees (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Customers Bancorp's Professional Fees was $41.88 million through Sep 30, 2026, down 18.6% year-over-year; for FY2025, it came in at $50.38 million, up 44.0% from FY2024.
- Professional Fees shows a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- In earlier years, Professional Fees was $34.98 million in FY2024 (-0.6%), $35.18 million in FY2023 (+28.1%), $27.47 million in FY2022 (+2.9%) and $26.69 million in FY2021 (+96.9%).
- The Q3 2026 figure marks the lowest quarterly Professional Fees since Q2 2024.
- Compared with a year earlier, Professional Fees has declined for four straight quarters, with growth averaging 26.6% over the last eight quarters.
- The best year-over-year quarter for Professional Fees over five years was Q4 2021 (growth of 169.6%); the worst was Q3 2026 (a decline of 36.8%).
- Per Business Quant data, CUBI's Professional Fees in the three quarters before Q3 2026 was $10.02 million (Q2 2026), $11.7 million (Q1 2026) and $12.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Customers Bancorp | 2.87 Bn | -14.71 Bn | - | 10.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.02 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 | 13.47 Mn |
| Sep 30, 2024 | 9.05 Mn |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 6.35 Mn |
| Dec 31, 2023 | 9.82 Mn |
| Sep 30, 2023 | 8.57 Mn |
| Jun 30, 2023 | 9.19 Mn |
| Mar 31, 2023 | 7.60 Mn |
| Dec 31, 2022 | 6.83 Mn |
| Sep 30, 2022 | 6.27 Mn |
| Jun 30, 2022 | 7.42 Mn |
| Mar 31, 2022 | 6.96 Mn |
| Dec 31, 2021 | 7.06 Mn |
| Sep 30, 2021 | 6.87 Mn |
API Access
Customers Bancorp Professional Fees 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=professional-fees&ticker=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();