Diebold Nixdorf (DBD) Enterprise Value (2023 - 2026)
Diebold Nixdorf (DBD) recorded Enterprise Value of $2.62 billion in Q2 2026, up 50.4% from $1.74 billion a year earlier and up 16.2% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Enterprise Value (2023 - 2026) Analysis & Trends
On a TTM basis, Diebold Nixdorf's Enterprise Value came in at $1.56 billion as of Jun 30, 2026, up 90.4% year-over-year; for FY2025, it came in at $1.99 billion, up 53.4% from FY2024.
- Across earlier years, Enterprise Value came in at $1.3 billion in FY2024 (+160.9%) and $497.26 million in FY2023.
- The Q2 2026 figure is the highest quarterly Enterprise Value in data going back to Q4 2023.
- On a year-over-year basis, Enterprise Value has increased for seven consecutive quarters, with growth averaging 63.1% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at $2.25 billion (Q1 2026), $1.99 billion (Q4 2025) and $1.81 billion (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 | 2.62 Bn |
| Mar 31, 2026 | 2.25 Bn |
| Dec 31, 2025 | 1.99 Bn |
| Sep 30, 2025 | 1.81 Bn |
| Jun 30, 2025 | 1.74 Bn |
| Mar 31, 2025 | 1.32 Bn |
| Dec 31, 2024 | 1.30 Bn |
| Sep 30, 2024 | 1.43 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 497.26 Mn |
| Sep 30, 2023 | 333.61 Mn |
API Access
Diebold Nixdorf Enterprise Value 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=enterprise-value&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();