NewtekOne (NEWT) Wages, Salaries and Other (2021 - 2026)
NewtekOne's Wages, Salaries and Other was $23.23 million in Q2 2026, up 0.4% from $23.14 million a year earlier and up 0.6% from the prior quarter.
NewtekOne (NEWT) Wages, Salaries and Other (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, NewtekOne's Wages, Salaries and Other was $86.65 million through Jun 30, 2026, up 6.9% year-over-year; for FY2025, it was $84.77 million, up 8.8% from FY2024.
- Wages, Salaries and Other has now increased for five consecutive years, with a five-year compound annual growth rate of 42.9% (FY2020 to FY2025).
- In earlier years, Wages, Salaries and Other was $77.93 million in FY2024 (+18.6%), $65.71 million in FY2023 (+225.5%), $20.19 million in FY2022 (+13.0%) and $17.87 million in FY2021 (+25.7%).
- The Q2 2026 figure marks the highest quarterly Wages, Salaries and Other in data going back to Q3 2021.
- Compared with a year earlier, Wages, Salaries and Other has increased for 16 straight quarters, with growth averaging 13.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Wages, Salaries and Other ran from 0.4% in Q2 2026 to 308.4% in Q2 2023.
- Per Business Quant data, NEWT's Wages, Salaries and Other in the three quarters before Q2 2026 was $23.1 million (Q1 2026), $20.35 million (Q4 2025) and $19.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | NewtekOne | 323.09 Mn | -1.00 Bn | - | 23.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.23 Mn |
| Mar 31, 2026 | 23.10 Mn |
| Dec 31, 2025 | 20.35 Mn |
| Sep 30, 2025 | 19.97 Mn |
| Jun 30, 2025 | 23.14 Mn |
| Mar 31, 2025 | 21.32 Mn |
| Dec 31, 2024 | 17.49 Mn |
| Sep 30, 2024 | 19.15 Mn |
| Jun 30, 2024 | 20.79 Mn |
| Mar 31, 2024 | 20.51 Mn |
| Dec 31, 2023 | 14.54 Mn |
| Sep 30, 2023 | 13.73 Mn |
| Jun 30, 2023 | 18.37 Mn |
| Mar 31, 2023 | 19.07 Mn |
| Dec 31, 2022 | 5.81 Mn |
| Sep 30, 2022 | 4.77 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 5.11 Mn |
| Dec 31, 2021 | 5.14 Mn |
| Sep 30, 2021 | 2.35 Mn |
NewtekOne Wages, Salaries and Other 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=wages-salaries-and-other&ticker=NEWT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=NEWT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();