Diebold Nixdorf (DBD) Price to Book (2023 - 2026)
Diebold Nixdorf's (DBD) Price to Book stood at 2.96 in Q2 2026, up 60.2% from 1.85 a year earlier and up 15.9% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Diebold Nixdorf's Price to Book came in at 2.17, up 26.1% from FY2024.
- Across earlier years, Price to Book came in at 1.72 in FY2024 (+71.1%) and 1.01 in FY2023.
- The Q2 2026 figure is the highest quarterly Price to Book in data going back to Q4 2023.
- On a year-over-year basis, Price to Book has increased for seven consecutive quarters, with growth averaging 41.6% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 2.55 (Q1 2026), 2.17 (Q4 2025) and 1.86 (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 | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Diebold Nixdorf | 2.08 Bn | 752.15 Mn | 239.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96 |
| Mar 31, 2026 | 2.55 |
| Dec 31, 2025 | 2.17 |
| Sep 30, 2025 | 1.86 |
| Jun 30, 2025 | 1.85 |
| Mar 31, 2025 | 1.65 |
| Dec 31, 2024 | 1.72 |
| Sep 30, 2024 | 1.56 |
| Jun 30, 2024 | 1.43 |
| Mar 31, 2024 | 1.26 |
| Dec 31, 2023 | 1.01 |
| Sep 30, 2023 | 0.70 |
API Access
Diebold Nixdorf Price to Book 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=price-to-book&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();