Diebold Nixdorf (DBD) Capital Expenditures (2009 - 2026)
Diebold Nixdorf (DBD) posted Capital Expenditures of $7.8 million for Q2 2026, down 2.5% from $8 million a year earlier but up 39.3% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Diebold Nixdorf was $34.9 million, up 53.1% year-over-year; for FY2025, it was $37.4 million, up 114.9% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's Capital Expenditures was $17.4 million in FY2024 (+77.6%), $9.8 million in FY2023 (-59.8%), $24.4 million in FY2022 (+20.8%) and $20.2 million in FY2021 (-26.5%).
- Quarterly Capital Expenditures has run from a low of $1.7 million in Q2 2024 to a high of $14.8 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in three of the last five quarters, with growth averaging 108.3%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2025, with growth of 370.6%; the weakest was Q4 2021, with a decline of 40.5%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $5.6 million (Q1 2026), $14.8 million (Q4 2025) and $6.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 8.78 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 14.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 11.28 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 6.90 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 1.01 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 38.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 7.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.80 Mn |
| Mar 31, 2026 | 5.60 Mn |
| Dec 31, 2025 | 14.80 Mn |
| Sep 30, 2025 | 6.70 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Mar 31, 2025 | 7.90 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Jun 30, 2024 | 1.70 Mn |
| Mar 31, 2024 | 6.70 Mn |
| Sep 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 5.70 Mn |
| Dec 31, 2022 | 10.60 Mn |
| Sep 30, 2022 | 5.70 Mn |
| Jun 30, 2022 | 4.10 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 9.10 Mn |
| Sep 30, 2021 | 4.90 Mn |
| Jun 30, 2021 | 3.70 Mn |
| Mar 31, 2021 | 2.50 Mn |
| Dec 31, 2020 | 15.30 Mn |
API Access
Diebold Nixdorf Capital Expenditures 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=capital-expenditures&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();