Bancorp (TBBK) Professional Fees (2009 - 2026)
Bancorp's Professional Fees was $2.14 million in Q3 2026, up 44.2% from $1.48 million a year earlier and up 75.1% from the prior quarter.
Bancorp (TBBK) Professional Fees (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bancorp's Professional Fees was $6.34 million through Sep 30, 2026, up 7.8% year-over-year; for FY2025, it was $6.69 million, up 117.1% from FY2024.
- Professional Fees shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In earlier years, Professional Fees was $3.08 million in FY2024 (-20.0%), $3.85 million in FY2023 (-0.7%), $3.88 million in FY2022 (-43.4%) and $6.85 million in FY2021 (+33.2%).
- The Q3 2026 figure marks the highest quarterly Professional Fees since Q2 2020.
- Compared with a year earlier, Professional Fees was higher in five of the last eight quarters, with growth averaging 60.5%.
- The best year-over-year quarter for Professional Fees over five years was Q2 2025 (growth of 194.3%); the worst was Q1 2022 (a decline of 61.3%).
- Per Business Quant data, TBBK's Professional Fees in the three quarters before Q3 2026 was $1.22 million (Q2 2026), $1.59 million (Q1 2026) and $1.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Bancorp | 1.96 Bn | -4.85 Bn | - | 2.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.14 Mn |
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 1.59 Mn |
| Dec 31, 2025 | 1.39 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.86 Mn |
| Mar 31, 2025 | 1.96 Mn |
| Dec 31, 2024 | 572,000.00 |
| Sep 30, 2024 | 1.06 Mn |
| Jun 30, 2024 | 633,000.00 |
| Mar 31, 2024 | 821,000.00 |
| Dec 31, 2023 | 740,000.00 |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 949,000.00 |
| Mar 31, 2023 | 958,000.00 |
| Dec 31, 2022 | 703,000.00 |
| Sep 30, 2022 | 907,000.00 |
| Jun 30, 2022 | 1.47 Mn |
| Mar 31, 2022 | 794,000.00 |
| Dec 31, 2021 | 1.50 Mn |
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=TBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "TBBK", "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=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();