NCR Voyix (VYX) Price to Earnings (2010 - 2026)
NCR Voyix's Price to Earnings was 19.38 in Q2 2026, compared with 1.56 a year earlier and up 21.6% from the prior quarter.
Analysis
NCR Voyix (VYX) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Price to Earnings at NCR Voyix came in at 33.54.
- In earlier years, Price to Earnings was 2.09 in FY2024, 45.04 in FY2022 (+11.9%) and 40.25 in FY2021.
- Quarterly Price to Earnings has moved between 1.39 (Q1 2025) and 197.72 (Q1 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 52.52 Bn | 24.76 Bn | 695.95 Mn |
| 3 | Samsara | 26.20 Bn | 22.97 Bn | 392.58 Mn |
| 4 | Ptc | 22.24 Bn | 21.06 Bn | 490.47 Mn |
| 5 | Toast | 18.83 Bn | 11.50 Bn | 516.00 Mn |
| 6 | Trimble | 14.84 Bn | 13.90 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 14.04 Bn | 13.03 Bn | 168.33 Mn |
| 8 | Costar | 13.91 Bn | 7.86 Bn | 728.00 Mn |
| 9 | Bentley Systems | 12.42 Bn | 11.88 Bn | 336.74 Mn |
| 10 | NCR Voyix | 1.15 Bn | 167.94 Mn | 156.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.38 |
| Mar 31, 2026 | 15.94 |
| Dec 31, 2025 | 33.54 |
| Jun 30, 2025 | 1.56 |
| Mar 31, 2025 | 1.39 |
| Dec 31, 2024 | 2.09 |
| Sep 30, 2024 | 3.11 |
| Jun 30, 2023 | 35.58 |
| Mar 31, 2023 | 23.85 |
| Dec 31, 2022 | 45.04 |
| Sep 30, 2022 | 12.88 |
| Jun 30, 2022 | 38.95 |
| Mar 31, 2022 | 197.72 |
| Dec 31, 2021 | 40.25 |
| Sep 30, 2020 | 3.95 |
| Jun 30, 2020 | 3.18 |
| Mar 31, 2020 | 3.09 |
| Dec 31, 2019 | 6.07 |
| Sep 30, 2019 | 48.36 |
| Jun 30, 2019 | 20.41 |
API Access
NCR Voyix Price to Earnings 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=price-to-earnings&ticker=VYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=VYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();