Diebold Nixdorf (DBD) Price to Sales (2023 - 2026)
Diebold Nixdorf's Price to Sales was 0.75 in Q2 2026, up 34.3% from 0.56 a year earlier and up 9.8% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at Diebold Nixdorf came in at 0.63, up 46.4% from FY2024.
- In earlier years, Price to Sales was 0.43 in FY2024 (-35.4%) and 0.67 in FY2023.
- The Q2 2026 figure marks the highest quarterly Price to Sales in data going back to Q1 2024.
- Compared with a year earlier, Price to Sales has increased for six straight quarters, with growth averaging 36.5% over the last six quarters.
- Per Business Quant data, DBD's Price to Sales in the three quarters before Q2 2026 was 0.68 (Q1 2026), 0.63 (Q4 2025) and 0.56 (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 | 0.75 |
| Mar 31, 2026 | 0.68 |
| Dec 31, 2025 | 0.63 |
| Sep 30, 2025 | 0.56 |
| Jun 30, 2025 | 0.56 |
| Mar 31, 2025 | 0.44 |
| Dec 31, 2024 | 0.43 |
| Sep 30, 2024 | 0.46 |
| Jun 30, 2024 | 0.40 |
| Mar 31, 2024 | 0.36 |
| Sep 30, 2023 | 0.20 |
API Access
Diebold Nixdorf Price to Sales 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-sales&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();