NCR Atleos (NATL) EV to EBITDA (2023 - 2026)
NCR Atleos' (NATL) EV to EBITDA stood at 3.54 in Q2 2026, up 68.6% from 2.10 a year earlier but down 5.0% from the prior quarter.
NCR Atleos (NATL) EV to EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, NCR Atleos' EV to EBITDA came in at 1.88 as of Jun 30, 2026, up 170.3% year-over-year; for FY2025, it came in at 3.11, up 32.4% from FY2024.
- Across earlier years, EV to EBITDA came in at 2.35 in FY2024 (+9.4%) and 2.15 in FY2023.
- Quarterly EV to EBITDA has ranged from 1.83 in Q1 2025 to 3.73 in Q1 2026 over the past five years.
- On a year-over-year basis, EV to EBITDA has increased for four consecutive quarters, with growth averaging 31.4% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 3.73 (Q1 2026), 3.11 (Q4 2025) and 3.17 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn |
| 10 | NCR Atleos | 3.36 Bn | 1.63 Bn | 309.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.54 |
| Mar 31, 2026 | 3.73 |
| Dec 31, 2025 | 3.11 |
| Sep 30, 2025 | 3.17 |
| Jun 30, 2025 | 2.10 |
| Mar 31, 2025 | 1.83 |
| Dec 31, 2024 | 2.35 |
| Sep 30, 2024 | 2.25 |
| Jun 30, 2024 | 2.38 |
| Mar 31, 2024 | 1.86 |
| Dec 31, 2023 | 2.68 |
NCR Atleos EV to EBITDA 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-ebitda&ticker=NATL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NATL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();