NCR Atleos (NATL) Price to Sales (2023 - 2026)
NCR Atleos' Price to Sales was 0.72 in Q2 2026, up 47.3% from 0.49 a year earlier but down 0.4% from the prior quarter.
Analysis
NCR Atleos (NATL) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at NCR Atleos came in at 0.65, up 12.6% from FY2024.
- In earlier years, Price to Sales was 0.57 in FY2024 (+39.2%) and 0.41 in FY2023.
- Quarterly Price to Sales has moved between 0.33 (Q1 2024) and 0.73 (Q1 2026) over five years.
- Compared with a year earlier, Price to Sales has increased for seven straight quarters, with growth averaging 35.7% over the last seven quarters.
- Per Business Quant data, NATL's Price to Sales in the three quarters before Q2 2026 was 0.73 (Q1 2026), 0.65 (Q4 2025) and 0.67 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn |
| 10 | NCR Atleos | 3.35 Bn | 1.62 Bn | 309.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.72 |
| Mar 31, 2026 | 0.73 |
| Dec 31, 2025 | 0.65 |
| Sep 30, 2025 | 0.67 |
| Jun 30, 2025 | 0.49 |
| Mar 31, 2025 | 0.45 |
| Dec 31, 2024 | 0.57 |
| Sep 30, 2024 | 0.47 |
| Jun 30, 2024 | 0.45 |
| Mar 31, 2024 | 0.33 |
| Dec 31, 2023 | 0.41 |
API Access
NCR Atleos Price to Sales 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-sales&ticker=NATL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "NATL", "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-sales&ticker=NATL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();