NCR Voyix (VYX) EV to CFO (2010 - 2026)
NCR Voyix's (VYX) EV to CFO came in at 6.67 for Q2 2026.
Powered by 
Analysis
NCR Voyix (VYX) EV to CFO (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to CFO at NCR Voyix was 1.07; for FY2023, it came in at 3.11, down 24.8% from FY2022.
- In prior years, NCR Voyix's EV to CFO was 4.13 in FY2022 (+37.0%), 3.01 in FY2021 (-26.8%), 4.12 in FY2020 (+16.2%) and 3.55 in FY2019 (+64.8%).
- The Q2 2026 figure stands as the highest quarterly EV to CFO since Q3 2024.
- The strongest year-over-year quarter for EV to CFO in the past five years was Q2 2024, with growth of 352.7%; the weakest was Q2 2022, with a decline of 43.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn |
| 10 | NCR Voyix | 1.14 Bn | 154.85 Mn | 156.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.67 |
| Sep 30, 2024 | 236.09 |
| Jun 30, 2024 | 8.67 |
| Mar 31, 2024 | 4.55 |
| Dec 31, 2023 | 3.11 |
| Sep 30, 2023 | 1.82 |
| Jun 30, 2023 | 1.92 |
| Mar 31, 2023 | 2.15 |
| Dec 31, 2022 | 4.13 |
| Sep 30, 2022 | 2.60 |
| Jun 30, 2022 | 2.71 |
| Mar 31, 2022 | 3.31 |
| Dec 31, 2021 | 3.01 |
| Sep 30, 2021 | 2.89 |
| Jun 30, 2021 | 4.83 |
| Mar 31, 2021 | 3.67 |
| Dec 31, 2020 | 4.12 |
| Sep 30, 2020 | 0.16 |
| Jun 30, 2020 | -0.37 |
| Mar 31, 2020 | 0.24 |
API Access
NCR Voyix EV to CFO 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=ev-to-cfo&ticker=VYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=VYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();