NSTS Bancorp (NSTS) Return on Sales [ROS] (2020 - 2026)
NSTS Bancorp (NSTS) recorded Return on Sales [ROS] of 833.85% in Q2 2026, down 216.15 percentage points from 1050.00% a year earlier.
NSTS Bancorp (NSTS) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, NSTS Bancorp's Return on Sales [ROS] came in at 1199.61% as of Jun 30, 2026, up 91.74 percentage points year-over-year; for FY2025, it was 49.21%, down 1.18 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +48.81 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 50.39% in FY2024 (+0.39 pp), 50.00% in FY2023 (+1.89 pp), 48.11% in FY2022 (+47.76 pp) and 0.35% in FY2021 (-0.05 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last seven quarters, with an average year-over-year change of +897.78 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4493.75 percentage points in Q4 2024, against a drop of 3740.58 percentage points in Q4 2023 at the low end.
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 | NSTS Bancorp | 74.91 Mn | -88.28 Mn | - | 833.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 833.85% |
| Dec 31, 2025 | 1,487.30% |
| Sep 30, 2025 | 1,430.30% |
| Jun 30, 2025 | 1,050.00% |
| Mar 31, 2025 | 1,001.69% |
| Dec 31, 2024 | 1,393.75% |
| Sep 30, 2024 | 983.58% |
| Jun 30, 2024 | 701.56% |
| Mar 31, 2024 | 744.26% |
| Dec 31, 2023 | -3,100.00% |
| Sep 30, 2023 | 122.86% |
| Jun 30, 2023 | 257.97% |
| Mar 31, 2023 | 567.19% |
| Dec 31, 2022 | 640.58% |
| Sep 30, 2022 | 372.00% |
| Jun 30, 2022 | 506.67% |
| Mar 31, 2022 | -500.00% |
| Dec 31, 2021 | -31.51% |
| Sep 30, 2021 | 6.67% |
| Jun 30, 2021 | -170.27% |
NSTS Bancorp 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=NSTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NSTS", "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=NSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();