NewtekOne (NEWT) Interest Expenses (2021 - 2026)
NewtekOne (NEWT) posted Interest Expenses of $31.33 million for Q2 2026, up 38.7% from $22.6 million a year earlier and up 8.0% from the prior quarter.
NewtekOne (NEWT) Interest Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at NewtekOne was $112.32 million, up 25.8% year-over-year; for FY2025, it came in at $98.53 million, up 21.5% from FY2024.
- Annual Interest Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- In prior years, NewtekOne's Interest Expenses was $81.11 million in FY2024 (+19.7%), $67.74 million in FY2023 (+157.3%), $26.33 million in FY2022 (+28.3%) and $20.52 million in FY2021 (+14.8%).
- The Q2 2026 figure stands as the highest quarterly Interest Expenses in data going back to Q3 2021.
- On a year-over-year basis, Interest Expenses has increased in each of the last 16 quarters, with growth averaging 22.4% over the last eight quarters.
- The year-over-year growth in Interest Expenses has ranged between 8.7% (Q3 2024) and 202.8% (Q1 2023) over the last five years.
- According to Business Quant data, Interest Expenses for the three prior quarters was $29.02 million (Q1 2026), $27.43 million (Q4 2025) and $24.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | NewtekOne | 321.65 Mn | -1.00 Bn | - | 31.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.33 Mn |
| Mar 31, 2026 | 29.02 Mn |
| Dec 31, 2025 | 27.43 Mn |
| Sep 30, 2025 | 24.55 Mn |
| Jun 30, 2025 | 22.60 Mn |
| Mar 31, 2025 | 23.96 Mn |
| Dec 31, 2024 | 22.44 Mn |
| Sep 30, 2024 | 20.29 Mn |
| Jun 30, 2024 | 20.23 Mn |
| Mar 31, 2024 | 18.16 Mn |
| Dec 31, 2023 | 18.07 Mn |
| Sep 30, 2023 | 18.66 Mn |
| Jun 30, 2023 | 16.88 Mn |
| Mar 31, 2023 | 14.13 Mn |
| Dec 31, 2022 | 8.91 Mn |
| Sep 30, 2022 | 6.92 Mn |
| Jun 30, 2022 | 5.83 Mn |
| Mar 31, 2022 | 4.67 Mn |
| Dec 31, 2021 | 5.30 Mn |
| Sep 30, 2021 | 5.18 Mn |
NewtekOne Interest Expenses 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=interest-expenses&ticker=NEWT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=NEWT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();