Diebold Nixdorf (DBD) EV to EBIT (2024 - 2026)
Diebold Nixdorf's (DBD) EV to EBIT was 10.62 for Q2 2026, up 5.9% from 10.03 a year earlier and up 15.6% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) EV to EBIT (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Diebold Nixdorf's EV to EBIT came in at 6.34, up 34.1% year-over-year; for FY2025, it came in at 8.23, up 15.5% from FY2024.
- By year, EV to EBIT came in at 7.13 in FY2024 (+32.4%) and 5.38 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly EV to EBIT since Q1 2024.
- Year over year, EV to EBIT has now increased in each of the last five quarters, with growth averaging 2.0% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 9.19 (Q1 2026), 8.23 (Q4 2025) and 9.00 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.62 |
| Mar 31, 2026 | 9.19 |
| Dec 31, 2025 | 8.23 |
| Sep 30, 2025 | 9.00 |
| Jun 30, 2025 | 10.03 |
| Mar 31, 2025 | 7.01 |
| Dec 31, 2024 | 7.13 |
| Sep 30, 2024 | 8.01 |
| Jun 30, 2024 | 9.20 |
| Mar 31, 2024 | 18.38 |
API Access
Diebold Nixdorf EV to EBIT 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-ebit&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "DBD", "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-ebit&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();