Diebold Nixdorf (DBD) Market Capitalization (2023 - 2026)
Diebold Nixdorf's Market Capitalization was $2.89 billion in Q2 2026, up 41.6% from $2.04 billion a year earlier and up 10.3% from the prior quarter.
Diebold Nixdorf (DBD) Market Capitalization (2023 - 2026) Analysis & Trends
For FY2025, Market Capitalization at Diebold Nixdorf came in at $2.4 billion, up 48.5% from FY2024.
- In earlier years, Market Capitalization was $1.62 billion in FY2024 (+48.7%) and $1.09 billion in FY2023.
- The Q2 2026 figure marks the highest quarterly Market Capitalization in data going back to Q4 2023.
- Compared with a year earlier, Market Capitalization has increased for seven straight quarters, with growth averaging 41.4% over the last seven quarters.
- Per Business Quant data, DBD's Market Capitalization in the three quarters before Q2 2026 was $2.62 billion (Q1 2026), $2.4 billion (Q4 2025) and $2.06 billion (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 Bn |
| Mar 31, 2026 | 2.62 Bn |
| Dec 31, 2025 | 2.40 Bn |
| Sep 30, 2025 | 2.06 Bn |
| Jun 30, 2025 | 2.04 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.62 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 711.51 Mn |
Diebold Nixdorf Market Capitalization 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=market-capitalization&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();