Diebold Nixdorf (DBD) Research & Development (2009 - 2026)
Diebold Nixdorf's Research & Development came in at $20.5 million for Q2 2026, down 8.5% from $22.4 million a year earlier and down 7.2% from the prior quarter.
Powered by 
Analysis
Diebold Nixdorf (DBD) Research & Development (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diebold Nixdorf reported Research & Development of $84.3 million, down 8.8% year-over-year; for FY2025, it was $86.7 million, down 7.4% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Going back by year, Research & Development was $93.6 million in FY2024 (+172.1%), $34.4 million in FY2023 (-71.5%), $120.7 million in FY2022 (-4.4%) and $126.3 million in FY2021 (-5.3%).
- The five-year range for quarterly Research & Development is $20.3 million (Q3 2025) to $33.1 million (Q2 2022).
- Year-over-year, Research & Development has declined for four consecutive quarters, with an average decline of 6.6% over the last six quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2022 (growth of 4.3%), and the weakest in Q4 2021 (a decline of 22.5%).
- Business Quant data shows DBD's Research & Development at $22.1 million (Q1 2026), $21.4 million (Q4 2025) and $20.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 20.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.50 Mn |
| Mar 31, 2026 | 22.10 Mn |
| Dec 31, 2025 | 21.40 Mn |
| Sep 30, 2025 | 20.30 Mn |
| Jun 30, 2025 | 22.40 Mn |
| Mar 31, 2025 | 22.70 Mn |
| Dec 31, 2024 | 23.90 Mn |
| Sep 30, 2024 | 23.40 Mn |
| Jun 30, 2024 | 22.10 Mn |
| Mar 31, 2024 | 24.20 Mn |
| Sep 30, 2023 | 12.00 Mn |
| Jun 30, 2023 | 25.40 Mn |
| Mar 31, 2023 | 26.40 Mn |
| Dec 31, 2022 | 28.60 Mn |
| Sep 30, 2022 | 26.70 Mn |
| Jun 30, 2022 | 33.10 Mn |
| Mar 31, 2022 | 32.30 Mn |
| Dec 31, 2021 | 31.00 Mn |
| Sep 30, 2021 | 25.60 Mn |
| Jun 30, 2021 | 35.60 Mn |
API Access
Diebold Nixdorf Research & Development 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=research-and-development&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();