Diebold Nixdorf (DBD) Non-Current Assets (2009 - 2026)
Diebold Nixdorf (DBD) posted Non-Current Assets of $2.02 billion for Q2 2026, up 1.1% from $2 billion a year earlier but down 0.2% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf's Non-Current Assets came in at $2.07 billion, up 10.2% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's Non-Current Assets was $1.88 billion in FY2024 (-6.6%), $2.01 billion in FY2023 (+55.2%), $1.29 billion in FY2022 (-20.1%) and $1.62 billion in FY2021 (-10.0%).
- Quarterly Non-Current Assets has run from a low of $1.23 billion in Q3 2022 to a high of $2.07 billion in Q4 2025 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with growth averaging 1.6% over the last seven quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2023, with growth of 55.2%; the weakest was Q3 2022, with a decline of 26.2%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $2.03 billion (Q1 2026), $2.07 billion (Q4 2025) and $2 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Bn |
| Mar 31, 2026 | 2.03 Bn |
| Dec 31, 2025 | 2.07 Bn |
| Sep 30, 2025 | 2.00 Bn |
| Jun 30, 2025 | 2.00 Bn |
| Mar 31, 2025 | 1.90 Bn |
| Dec 31, 2024 | 1.88 Bn |
| Sep 30, 2024 | 2.00 Bn |
| Jun 30, 2024 | 1.94 Bn |
| Mar 31, 2024 | 1.97 Bn |
| Dec 31, 2023 | 2.01 Bn |
| Sep 30, 2023 | 1.94 Bn |
| Jun 30, 2023 | 1.27 Bn |
| Mar 31, 2023 | 1.28 Bn |
| Dec 31, 2022 | 1.29 Bn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.54 Bn |
| Dec 31, 2021 | 1.62 Bn |
| Sep 30, 2021 | 1.67 Bn |
API Access
Diebold Nixdorf Non-Current 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=non-current-assets&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();