Triumph Financial (TFIN) Professional Fees (2013 - 2026)
Triumph Financial's Professional Fees came in at $5.52 million for Q3 2026, up 5.5% from $5.23 million a year earlier but down 22.2% from the prior quarter.
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Analysis
Triumph Financial (TFIN) Professional Fees (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Triumph Financial reported Professional Fees of $21.65 million, up 35.5% year-over-year; for FY2025, it was $15.26 million, down 14.5% from FY2024.
- Professional Fees carries a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Going back by year, Professional Fees was $17.84 million in FY2024 (+35.4%), $13.18 million in FY2023 (-15.8%), $15.64 million in FY2022 (+24.2%) and $12.59 million in FY2021 (+34.7%).
- The five-year range for quarterly Professional Fees is -$320,000 (Q2 2025) to $7.09 million (Q2 2026).
- Year-over-year, Professional Fees increased in four of the last six quarters, with growth averaging 18.7%.
- The fastest year-over-year change in Professional Fees over five years came in Q3 2022 (growth of 80.5%), and the weakest in Q2 2022 (a decline of 28.6%).
- Business Quant data shows TFIN's Professional Fees at $7.09 million (Q2 2026), $4.76 million (Q1 2026) and $4.29 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
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 | Triumph Financial | 1.47 Bn | -1.30 Bn | - | 5.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.52 Mn |
| Jun 30, 2026 | 7.09 Mn |
| Mar 31, 2026 | 4.76 Mn |
| Dec 31, 2025 | 4.29 Mn |
| Sep 30, 2025 | 5.23 Mn |
| Jun 30, 2025 | -320,000.00 |
| Mar 31, 2025 | 6.06 Mn |
| Dec 31, 2024 | 5.01 Mn |
| Sep 30, 2024 | 4.73 Mn |
| Jun 30, 2024 | 4.56 Mn |
| Mar 31, 2024 | 3.54 Mn |
| Dec 31, 2023 | 3.12 Mn |
| Sep 30, 2023 | 3.94 Mn |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | 3.09 Mn |
| Dec 31, 2022 | 4.12 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 3.61 Mn |
| Mar 31, 2022 | 3.66 Mn |
| Dec 31, 2021 | 2.63 Mn |
API Access
Triumph 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=TFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "TFIN", "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=TFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();