Diebold Nixdorf (DBD) EV to EBITDA (2023 - 2026)
Diebold Nixdorf's EV to EBITDA came in at 7.05 for Q2 2026, up 33.6% from 5.28 a year earlier and up 15.9% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) EV to EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diebold Nixdorf reported EV to EBITDA of 4.21, up 69.2% year-over-year; for FY2025, it came in at 5.39, up 68.8% from FY2024.
- Going back by year, EV to EBITDA was 3.19 in FY2024 (+21.3%) and 2.63 in FY2023.
- The Q2 2026 figure represents the highest quarterly EV to EBITDA in data going back to Q1 2024.
- Year-over-year, EV to EBITDA has increased for five consecutive quarters, with growth averaging 28.3% over the last six quarters.
- Business Quant data shows DBD's EV to EBITDA at 6.08 (Q1 2026), 5.09 (Q4 2025) and 4.74 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn |
| 10 | Diebold Nixdorf | 2.32 Bn | 987.65 Mn | 239.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.93 |
| Mar 31, 2026 | 5.98 |
| Dec 31, 2025 | 5.30 |
| Sep 30, 2025 | 5.30 |
| Jun 30, 2025 | 6.04 |
| Mar 31, 2025 | 4.38 |
| Dec 31, 2024 | 4.09 |
| Sep 30, 2024 | 4.83 |
| Jun 30, 2024 | 4.16 |
| Mar 31, 2024 | 4.44 |
| Sep 30, 2023 | 1.81 |
API Access
Diebold Nixdorf 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=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();