Triumph Financial (TFIN) Amortization - Intangibles (2014 - 2026)
Triumph Financial's Amortization - Intangibles was $3.74 million in Q3 2026, up 26.5% from $2.96 million a year earlier and up 7.5% from the prior quarter.
Triumph Financial (TFIN) Amortization - Intangibles (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Triumph Financial's Amortization - Intangibles was $13.34 million through Sep 30, 2026, up 15.5% year-over-year; for FY2025, it came in at $11.58 million, down 3.4% from FY2024.
- Amortization - Intangibles shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $11.99 million in FY2024 (+4.7%), $11.45 million in FY2023 (-3.9%), $11.92 million in FY2022 (+9.6%) and $10.88 million in FY2021 (+30.6%).
- The Q3 2026 figure marks the highest quarterly Amortization - Intangibles in data going back to Q1 2014.
- Compared with a year earlier, Amortization - Intangibles has increased for four straight quarters, with growth averaging 7.2% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q1 2022 (growth of 57.4%); the worst was Q3 2025 (a decline of 17.9%).
- Per Business Quant data, TFIN's Amortization - Intangibles in the three quarters before Q3 2026 was $3.48 million (Q2 2026), $3.3 million (Q1 2026) and $2.83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Triumph Financial | 1.47 Bn | -1.30 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.74 Mn |
| Jun 30, 2026 | 3.48 Mn |
| Mar 31, 2026 | 3.30 Mn |
| Dec 31, 2025 | 2.83 Mn |
| Sep 30, 2025 | 2.96 Mn |
| Jun 30, 2025 | 3.40 Mn |
| Mar 31, 2025 | 2.40 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 3.60 Mn |
| Jun 30, 2024 | 2.87 Mn |
| Mar 31, 2024 | 2.72 Mn |
| Dec 31, 2023 | 2.75 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 2.85 Mn |
| Dec 31, 2022 | 2.84 Mn |
| Sep 30, 2022 | 2.91 Mn |
| Jun 30, 2022 | 3.06 Mn |
| Mar 31, 2022 | 3.11 Mn |
| Dec 31, 2021 | 3.20 Mn |
Triumph Financial Amortization - Intangibles 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=amortization-intangibles&ticker=TFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();