NewtekOne (NEWT) Long-Term Debt Repayments (2021 - 2026)
NewtekOne's Long-Term Debt Repayments was $17.42 million in Q2 2026, down 89.0% from $158.82 million a year earlier and down 91.0% from the prior quarter.
NewtekOne (NEWT) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, NewtekOne's Long-Term Debt Repayments was $362.56 million through Jun 30, 2026, up 1.0% year-over-year; for FY2025, it was $353.8 million, up 72.1% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 45.2% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $205.63 million in FY2024 (-37.2%), $327.68 million in FY2023 (+295.7%), $82.82 million in FY2022 (+9.8%) and $75.43 million in FY2021 (+37.4%).
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q4 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last eight quarters, with growth averaging 208.7%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2024 (growth of 530.5%); the worst was Q4 2024 (a decline of 95.7%).
- Per Business Quant data, NEWT's Long-Term Debt Repayments in the three quarters before Q2 2026 was $193.97 million (Q1 2026), $58.27 million (Q4 2025) and $92.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | NewtekOne | 321.65 Mn | -1.00 Bn | - | 17.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.42 Mn |
| Mar 31, 2026 | 193.97 Mn |
| Dec 31, 2025 | 58.27 Mn |
| Sep 30, 2025 | 92.89 Mn |
| Jun 30, 2025 | 158.82 Mn |
| Mar 31, 2025 | 43.82 Mn |
| Dec 31, 2024 | 11.09 Mn |
| Sep 30, 2024 | 145.15 Mn |
| Jun 30, 2024 | 26.43 Mn |
| Mar 31, 2024 | 22.95 Mn |
| Dec 31, 2023 | 258.76 Mn |
| Sep 30, 2023 | 23.02 Mn |
| Jun 30, 2023 | 14.88 Mn |
| Mar 31, 2023 | 31.02 Mn |
| Dec 31, 2022 | 19.11 Mn |
| Sep 30, 2022 | 21.54 Mn |
| Jun 30, 2022 | 25.02 Mn |
| Mar 31, 2022 | 17.14 Mn |
| Dec 31, 2021 | 31.28 Mn |
NewtekOne Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NEWT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "NEWT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=NEWT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();