NCR Voyix (VYX) Return on Capital Employed [ROCE] (2010 - 2026)
NCR Voyix's Return on Capital Employed [ROCE] was 0.95% in Q2 2026, up 0.63 percentage points from 0.32% a year earlier and up 0.02 percentage points from the prior quarter.
NCR Voyix (VYX) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at NCR Voyix came in at 0.83%, up 1.98 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -2.51 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -1.15% in FY2024 (+0.79 pp), -1.94% in FY2023 (-1.37 pp), -0.56% in FY2022 (-0.92 pp) and 0.36% in FY2021 (-2.98 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for seven straight quarters, with an average year-over-year change of +1.59 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2025 (a gain of 6.53 percentage points); the worst was Q3 2024 (a drop of 7.17 percentage points).
- Per Business Quant data, VYX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 0.92% (Q1 2026), 0.83% (Q4 2025) and 0.31% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.25 Bn | 24.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 25.64 Bn | 22.41 Bn | 392.58 Mn | 1.12% |
| 4 | Ptc | 21.48 Bn | 20.29 Bn | 490.47 Mn | 21.53% |
| 5 | Toast | 19.27 Bn | 11.94 Bn | 516.00 Mn | 21.19% |
| 6 | Trimble | 14.93 Bn | 13.99 Bn | 674.90 Mn | 8.74% |
| 7 | Costar | 14.36 Bn | 8.33 Bn | 728.00 Mn | 0.82% |
| 8 | Manhattan Associates | 14.12 Bn | 13.11 Bn | 168.33 Mn | 112.05% |
| 9 | Duolingo | 13.22 Bn | 8.40 Bn | 216.74 Mn | 10.56% |
| 10 | NCR Voyix | 1.19 Bn | 208.24 Mn | 156.00 Mn | 0.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.95% |
| Mar 31, 2026 | 0.92% |
| Dec 31, 2025 | 0.83% |
| Sep 30, 2025 | 0.31% |
| Jun 30, 2025 | 0.32% |
| Mar 31, 2025 | -1.24% |
| Dec 31, 2024 | -1.11% |
| Sep 30, 2024 | -6.22% |
| Jun 30, 2024 | -5.25% |
| Mar 31, 2024 | -3.71% |
| Dec 31, 2023 | -1.66% |
| Sep 30, 2023 | 0.95% |
| Jun 30, 2023 | 1.40% |
| Mar 31, 2023 | 1.44% |
| Dec 31, 2022 | 1.52% |
| Sep 30, 2022 | -2.74% |
| Jun 30, 2022 | -1.63% |
| Mar 31, 2022 | -0.96% |
| Dec 31, 2021 | 0.30% |
| Sep 30, 2021 | 3.17% |
NCR Voyix Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();