Coastal Financial (CCB) Professional Fees (2017 - 2026)
Coastal Financial (CCB) posted Professional Fees of $6.2 million for Q2 2026, up 3.9% from $5.96 million a year earlier but down 11.5% from the prior quarter.
Coastal Financial (CCB) Professional Fees (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Professional Fees at Coastal Financial was $21.6 million, up 2.7% year-over-year; for FY2025, it came in at $20.25 million, up 30.6% from FY2024.
- Annual Professional Fees has increased for eight consecutive years, with a five-year compound annual growth rate of 63.0% (FY2020 to FY2025).
- In prior years, Coastal Financial's Professional Fees was $15.51 million in FY2024 (+4.7%), $14.8 million in FY2023 (+119.0%), $6.76 million in FY2022 (+115.8%) and $3.13 million in FY2021 (+77.8%).
- Quarterly Professional Fees has run from a low of $708,000 in Q1 2022 to a high of $7 million in Q1 2026 over five years.
- On a year-over-year basis, Professional Fees increased in six of the last eight quarters, with growth averaging 30.9%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q2 2023, with growth of 363.6%; the weakest was Q2 2024, with a decline of 28.7%.
- According to Business Quant data, Professional Fees for the three prior quarters was $7 million (Q1 2026), $4.45 million (Q4 2025) and $3.96 million (Q3 2025).
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 | Coastal Financial | 655.59 Mn | 655.59 Mn | - | 7.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.79 Mn |
| Jun 30, 2026 | 6.20 Mn |
| Mar 31, 2026 | 7.00 Mn |
| Dec 31, 2025 | 4.45 Mn |
| Sep 30, 2025 | 3.96 Mn |
| Jun 30, 2025 | 5.96 Mn |
| Mar 31, 2025 | 6.49 Mn |
| Dec 31, 2024 | 5.30 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 3.31 Mn |
| Mar 31, 2024 | 3.67 Mn |
| Dec 31, 2023 | 2.65 Mn |
| Sep 30, 2023 | 4.45 Mn |
| Jun 30, 2023 | 4.65 Mn |
| Mar 31, 2023 | 3.06 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 2.25 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 708,000.00 |
| Dec 31, 2021 | 951,000.00 |
Coastal Financial 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=CCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "CCB", "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=CCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();