Hilltop Holdings (HTH) Professional Fees (2017 - 2026)
Hilltop Holdings' Professional Fees came in at $11.76 million for Q3 2026, down 7.3% from $12.68 million a year earlier and down 7.0% from the prior quarter.
Hilltop Holdings (HTH) Professional Fees (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Hilltop Holdings reported Professional Fees of $48.03 million, up 18.9% year-over-year; for FY2025, it came in at $40 million, down 10.0% from FY2024.
- Professional Fees carries a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Going back by year, Professional Fees was $44.44 million in FY2024 (-9.5%), $49.1 million in FY2023 (+1.2%), $48.5 million in FY2022 (-10.6%) and $54.27 million in FY2021 (-22.5%).
- The five-year range for quarterly Professional Fees is $4.11 million (Q1 2025) to $16.25 million (Q2 2022).
- Year-over-year, Professional Fees increased in four of the last eight quarters, with growth averaging 16.7%.
- The fastest year-over-year change in Professional Fees over five years came in Q1 2026 (growth of 173.3%), and the weakest in Q1 2025 (a decline of 57.7%).
- Business Quant data shows HTH's Professional Fees at $12.65 million (Q2 2026), $11.25 million (Q1 2026) and $12.39 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.90 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 606.00 Mn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 411.67 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 700.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 424.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.17 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Hilltop Holdings | 2.07 Bn | -550.66 Mn | - | 11.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.76 Mn |
| Jun 30, 2026 | 12.65 Mn |
| Mar 31, 2026 | 11.25 Mn |
| Dec 31, 2025 | 12.39 Mn |
| Sep 30, 2025 | 12.68 Mn |
| Jun 30, 2025 | 10.82 Mn |
| Mar 31, 2025 | 4.11 Mn |
| Dec 31, 2024 | 12.79 Mn |
| Sep 30, 2024 | 11.65 Mn |
| Jun 30, 2024 | 10.27 Mn |
| Mar 31, 2024 | 9.73 Mn |
| Dec 31, 2023 | 13.17 Mn |
| Sep 30, 2023 | 12.64 Mn |
| Jun 30, 2023 | 12.59 Mn |
| Mar 31, 2023 | 10.70 Mn |
| Dec 31, 2022 | 11.56 Mn |
| Sep 30, 2022 | 10.63 Mn |
| Jun 30, 2022 | 16.25 Mn |
| Mar 31, 2022 | 10.06 Mn |
| Dec 31, 2021 | 9.90 Mn |
Hilltop Holdings 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=HTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "HTH", "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=HTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();