Diebold Nixdorf (DBD) Assets (2009 - 2026)
Diebold Nixdorf (DBD) posted Assets of $3.74 billion for Q2 2026, down 0.1% from $3.74 billion a year earlier and down 2.4% from the prior quarter.
Analysis
Diebold Nixdorf (DBD) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf's Assets came in at $3.85 billion, up 8.8% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's Assets was $3.54 billion in FY2024 (-14.9%), $4.16 billion in FY2023 (+35.8%), $3.07 billion in FY2022 (-12.6%) and $3.51 billion in FY2021 (-4.1%).
- Quarterly Assets has run from a low of $2.91 billion in Q3 2022 to a high of $4.16 billion in Q4 2023 over five years.
- On a year-over-year basis, Assets increased in two of the last seven quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2023, with growth of 35.8%; the weakest was Q3 2022, with a decline of 18.9%.
- According to Business Quant data, Assets for the three prior quarters was $3.83 billion (Q1 2026), $3.85 billion (Q4 2025) and $3.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 9.06 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 3.18 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 6.51 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 2.07 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 698.65 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 10.14 Bn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 3.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.74 Bn |
| Mar 31, 2026 | 3.83 Bn |
| Dec 31, 2025 | 3.85 Bn |
| Sep 30, 2025 | 3.72 Bn |
| Jun 30, 2025 | 3.74 Bn |
| Mar 31, 2025 | 3.63 Bn |
| Dec 31, 2024 | 3.54 Bn |
| Sep 30, 2024 | 3.90 Bn |
| Jun 30, 2024 | 3.85 Bn |
| Mar 31, 2024 | 3.94 Bn |
| Dec 31, 2023 | 4.16 Bn |
| Sep 30, 2023 | 4.02 Bn |
| Jun 30, 2023 | 3.41 Bn |
| Mar 31, 2023 | 3.09 Bn |
| Dec 31, 2022 | 3.07 Bn |
| Sep 30, 2022 | 2.91 Bn |
| Jun 30, 2022 | 3.18 Bn |
| Mar 31, 2022 | 3.32 Bn |
| Dec 31, 2021 | 3.51 Bn |
| Sep 30, 2021 | 3.59 Bn |
API Access
Diebold Nixdorf Assets 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=assets&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();