Diebold Nixdorf (DBD) Property, Plant & Equipment (Net) (2009 - 2026)
Diebold Nixdorf (DBD) recorded Property, Plant & Equipment (Net) of $306.4 million in Q2 2026, up 14.8% from $266.8 million a year earlier and up 4.6% from the prior quarter.
Diebold Nixdorf (DBD) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf reported Property, Plant & Equipment (Net) of $286 million, up 16.2% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for three straight years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $246.2 million in FY2024 (+54.8%), $159 million in FY2023 (+31.7%), $120.7 million in FY2022 (-12.6%) and $138.1 million in FY2021 (-22.2%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q3 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for five consecutive quarters, with growth averaging 51.8% over the last seven quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 124.2% in Q1 2026, against a decline of 26.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $293 million (Q1 2026), $286 million (Q4 2025) and $267.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 42.62 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Diebold Nixdorf | 2.17 Bn | 842.26 Mn | 239.60 Mn | 306.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.40 Mn |
| Mar 31, 2026 | 293.00 Mn |
| Dec 31, 2025 | 286.00 Mn |
| Sep 30, 2025 | 267.50 Mn |
| Jun 30, 2025 | 266.80 Mn |
| Mar 31, 2025 | 130.70 Mn |
| Dec 31, 2024 | 246.20 Mn |
| Sep 30, 2024 | 143.70 Mn |
| Jun 30, 2024 | 147.10 Mn |
| Mar 31, 2024 | 153.10 Mn |
| Dec 31, 2023 | 159.00 Mn |
| Sep 30, 2023 | 159.00 Mn |
| Jun 30, 2023 | 119.10 Mn |
| Mar 31, 2023 | 120.10 Mn |
| Dec 31, 2022 | 120.70 Mn |
| Sep 30, 2022 | 112.30 Mn |
| Jun 30, 2022 | 117.20 Mn |
| Mar 31, 2022 | 131.50 Mn |
| Dec 31, 2021 | 138.10 Mn |
| Sep 30, 2021 | 145.40 Mn |
Diebold Nixdorf Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();