NewtekOne (NEWT) Total Non-Current Liabilities (2021 - 2026)
NewtekOne (NEWT) reported Total Non-Current Liabilities of $2.75 billion for Q2 2026, up 53.8% from $1.79 billion a year earlier and up 12.0% from the prior quarter.
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Analysis
NewtekOne (NEWT) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, NewtekOne posted Total Non-Current Liabilities of $2.29 billion, up 31.7% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 45.9% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.74 billion in FY2024 (+50.6%), $1.16 billion in FY2023 (+96.7%), $587.92 million in FY2022 (+16.1%) and $506.45 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 40.0% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 10.4% (Q2 2024) and 96.7% (Q4 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.45 billion (Q1 2026), $2.29 billion (Q4 2025) and $1.98 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | NewtekOne | 321.65 Mn | -1.00 Bn | - | 2.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Bn |
| Mar 31, 2026 | 2.45 Bn |
| Dec 31, 2025 | 2.29 Bn |
| Sep 30, 2025 | 1.98 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.80 Bn |
| Dec 31, 2024 | 1.74 Bn |
| Sep 30, 2024 | 1.37 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.16 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 999.03 Mn |
| Dec 31, 2022 | 587.92 Mn |
| Sep 30, 2022 | 580.08 Mn |
| Dec 31, 2021 | 506.45 Mn |
API Access
NewtekOne Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NEWT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NEWT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();