Triumph Financial (TFIN) Change in Net Loans (2013 - 2026)
Triumph Financial (TFIN) posted Change in Net Loans of $145.04 million for Q3 2026, up 238.1% from $42.9 million a year earlier but down 50.0% from the prior quarter.
Triumph Financial (TFIN) Change in Net Loans (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Net Loans at Triumph Financial was $632.5 million, down 1.0% year-over-year; for FY2025, it came in at $450.59 million, up 18.5% from FY2024.
- Annual Change in Net Loans shows a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- In prior years, Triumph Financial's Change in Net Loans was $380.22 million in FY2024 (+312.8%), $92.11 million in FY2023, -$581.6 million in FY2022 and -$153.95 million in FY2021.
- Quarterly Change in Net Loans has run from a low of -$295.75 million in Q4 2022 to a high of $290.34 million in Q2 2026 over five years.
- On a year-over-year basis, Change in Net Loans has increased in each of the last three quarters, with growth averaging 83.1% over the last seven quarters.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q2 2024, with growth of 409.4%; the weakest was Q4 2025, with a decline of 99.3%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was $290.34 million (Q2 2026), $195.78 million (Q1 2026) and $1.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 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 | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Triumph Financial | 1.47 Bn | -1.30 Bn | - | 145.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 145.04 Mn |
| Jun 30, 2026 | 290.34 Mn |
| Mar 31, 2026 | 195.78 Mn |
| Dec 31, 2025 | 1.35 Mn |
| Sep 30, 2025 | 42.90 Mn |
| Jun 30, 2025 | 280.22 Mn |
| Mar 31, 2025 | 126.13 Mn |
| Dec 31, 2024 | 189.34 Mn |
| Sep 30, 2024 | 49.24 Mn |
| Jun 30, 2024 | 102.67 Mn |
| Mar 31, 2024 | 38.97 Mn |
| Dec 31, 2023 | -196.65 Mn |
| Sep 30, 2023 | 54.60 Mn |
| Jun 30, 2023 | 20.15 Mn |
| Mar 31, 2023 | 214.01 Mn |
| Dec 31, 2022 | -295.75 Mn |
| Sep 30, 2022 | -70.18 Mn |
| Jun 30, 2022 | -274.41 Mn |
| Mar 31, 2022 | 58.73 Mn |
| Dec 31, 2021 | 73.70 Mn |
Triumph Financial Change in Net Loans 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=change-in-net-loans&ticker=TFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=TFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();