NCR Voyix (VYX) Return on Sales [ROS] (2009 - 2026)
NCR Voyix (VYX) posted Return on Sales [ROS] of 2.68% for Q2 2026, up 0.71 percentage points from 1.97% a year earlier and up 5.81 percentage points from the prior quarter.
NCR Voyix (VYX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at NCR Voyix was 1.07%, up 0.69 percentage points year-over-year; for FY2025, it was 0.97%, up 2.32 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -2.59 percentage points (FY2020 to FY2025).
- In prior years, NCR Voyix's Return on Sales [ROS] was -1.35% in FY2024 (+2.88 pp), -4.23% in FY2023 (-2.66 pp), -1.58% in FY2022 (-2.28 pp) and 0.70% in FY2021 (-2.86 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +3.61 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 20.65 percentage points; the weakest was Q4 2023, with a drop of 26.36 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -3.14% (Q1 2026), 2.36% (Q4 2025) and 2.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.25 Bn | 24.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 25.64 Bn | 22.41 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 21.48 Bn | 20.29 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 19.27 Bn | 11.94 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.93 Bn | 13.99 Bn | 674.90 Mn | 13.58% |
| 7 | Costar | 14.36 Bn | 8.33 Bn | 728.00 Mn | 8.22% |
| 8 | Manhattan Associates | 14.12 Bn | 13.11 Bn | 168.33 Mn | 22.24% |
| 9 | Duolingo | 13.22 Bn | 8.40 Bn | 216.74 Mn | 11.37% |
| 10 | NCR Voyix | 1.19 Bn | 208.24 Mn | 156.00 Mn | 2.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.68% |
| Mar 31, 2026 | -3.14% |
| Dec 31, 2025 | 2.36% |
| Sep 30, 2025 | 2.19% |
| Jun 30, 2025 | 1.97% |
| Mar 31, 2025 | -3.43% |
| Dec 31, 2024 | 0.29% |
| Sep 30, 2024 | 2.26% |
| Jun 30, 2024 | -4.71% |
| Mar 31, 2024 | -2.68% |
| Dec 31, 2023 | -20.35% |
| Sep 30, 2023 | 2.97% |
| Jun 30, 2023 | 2.61% |
| Mar 31, 2023 | -1.56% |
| Dec 31, 2022 | 6.00% |
| Sep 30, 2022 | 5.73% |
| Jun 30, 2022 | 2.53% |
| Mar 31, 2022 | -0.11% |
| Dec 31, 2021 | 0.70% |
| Sep 30, 2021 | 8.26% |
NCR Voyix 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=VYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VYX", "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=VYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();