NewtekOne (NEWT) Return on Sales [ROS] (2022 - 2026)
NewtekOne's Return on Sales [ROS] came in at 67.23% for Q2 2026, up 8.31 percentage points from 58.93% a year earlier and up 2.26 percentage points from the prior quarter.
NewtekOne (NEWT) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NewtekOne reported Return on Sales [ROS] of 67.32%, up 8.89 percentage points year-over-year; for FY2025, it was 62.68%, up 4.53 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of -9.05 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was 58.15% in FY2024 (+2.54 pp), 55.61% in FY2023 (-6.29 pp), 61.90% in FY2022 (-9.83 pp) and 71.73% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is 44.16% (Q1 2023) to 70.80% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for seven consecutive quarters, with an average year-over-year change of +4.23 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 11.29 percentage points), and the weakest in Q1 2023 (a drop of 16.15 percentage points).
- Business Quant data shows NEWT's Return on Sales [ROS] at 64.97% (Q1 2026), 70.80% (Q4 2025) and 66.20% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | NewtekOne | 323.09 Mn | -1.00 Bn | - | 67.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.23% |
| Mar 31, 2026 | 64.97% |
| Dec 31, 2025 | 70.80% |
| Sep 30, 2025 | 66.20% |
| Jun 30, 2025 | 58.93% |
| Mar 31, 2025 | 53.68% |
| Dec 31, 2024 | 61.28% |
| Sep 30, 2024 | 59.44% |
| Jun 30, 2024 | 57.26% |
| Mar 31, 2024 | 53.64% |
| Dec 31, 2023 | 57.31% |
| Sep 30, 2023 | 67.20% |
| Jun 30, 2023 | 53.02% |
| Mar 31, 2023 | 44.16% |
| Dec 31, 2022 | 54.90% |
| Sep 30, 2022 | 65.85% |
| Jun 30, 2022 | 65.27% |
| Mar 31, 2022 | 60.31% |
NewtekOne Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NEWT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NEWT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();