Amerant Bancorp (AMTB) Professional Fees (2017 - 2026)
Amerant Bancorp (AMTB) posted Professional Fees of $15.26 million for Q3 2026, down 4.6% from $16 million a year earlier but up 16.6% from the prior quarter.
Powered by 
Analysis
Amerant Bancorp (AMTB) Professional Fees (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Amerant Bancorp was $56.64 million, down 3.2% year-over-year; for FY2025, it was $61.1 million, up 19.6% from FY2024.
- Annual Professional Fees has increased for five consecutive years, with a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- In prior years, Amerant Bancorp's Professional Fees was $51.09 million in FY2024 (+47.8%), $34.57 million in FY2023 (+56.1%), $22.14 million in FY2022 (+16.0%) and $19.1 million in FY2021 (+45.4%).
- Quarterly Professional Fees has run from a low of $4.73 million in Q2 2022 to a high of $16.88 million in Q4 2025 over five years.
- On a year-over-year basis, Professional Fees has declined in each of the last three quarters, with growth averaging 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q3 2024, with growth of 157.5%; the weakest was Q1 2026, with a decline of 22.2%.
- According to Business Quant data, Professional Fees for the three prior quarters was $13.09 million (Q2 2026), $11.42 million (Q1 2026) and $16.88 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 | Amerant Bancorp | 1.18 Bn | -165.24 Mn | - | 15.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.26 Mn |
| Jun 30, 2026 | 13.09 Mn |
| Mar 31, 2026 | 11.42 Mn |
| Dec 31, 2025 | 16.88 Mn |
| Sep 30, 2025 | 16.00 Mn |
| Jun 30, 2025 | 13.55 Mn |
| Mar 31, 2025 | 14.68 Mn |
| Dec 31, 2024 | 14.30 Mn |
| Sep 30, 2024 | 13.71 Mn |
| Jun 30, 2024 | 12.11 Mn |
| Mar 31, 2024 | 10.96 Mn |
| Dec 31, 2023 | 14.20 Mn |
| Sep 30, 2023 | 5.33 Mn |
| Jun 30, 2023 | 7.42 Mn |
| Mar 31, 2023 | 7.63 Mn |
| Dec 31, 2022 | 6.22 Mn |
| Sep 30, 2022 | 5.05 Mn |
| Jun 30, 2022 | 4.73 Mn |
| Mar 31, 2022 | 6.14 Mn |
| Dec 31, 2021 | 6.44 Mn |
API Access
Amerant 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=AMTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "AMTB", "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=AMTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();