Diebold Nixdorf (DBD) Depreciation and Depletion (2010 - 2026)
Diebold Nixdorf's Depreciation and Depletion came in at $5.9 million for Q2 2026, down 35.9% from $9.2 million a year earlier and down 7.8% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diebold Nixdorf reported Depreciation and Depletion of $27.9 million, down 18.4% year-over-year; for FY2025, it was $33.1 million, up 12.2% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $29.5 million in FY2024 (+82.1%), $16.2 million in FY2023 (-45.6%), $29.8 million in FY2022 (-35.8%) and $46.4 million in FY2021 (-37.0%).
- The Q2 2026 figure represents the lowest quarterly Depreciation and Depletion since Q2 2024.
- Year-over-year, Depreciation and Depletion has declined for three consecutive quarters, with growth averaging 1.8% over the last five quarters.
- Business Quant data shows DBD's Depreciation and Depletion at $6.4 million (Q1 2026), $7 million (Q4 2025) and $8.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.36 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | Diebold Nixdorf | 2.08 Bn | 752.15 Mn | 239.60 Mn | 5.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.90 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 7.00 Mn |
| Sep 30, 2025 | 8.60 Mn |
| Jun 30, 2025 | 9.20 Mn |
| Mar 31, 2025 | 8.50 Mn |
| Dec 31, 2024 | 9.00 Mn |
| Sep 30, 2024 | 7.50 Mn |
| Jun 30, 2024 | 5.20 Mn |
| Sep 30, 2023 | 5.40 Mn |
| Dec 31, 2022 | 6.80 Mn |
| Sep 30, 2022 | 6.70 Mn |
| Dec 31, 2012 | 12.99 Mn |
| Sep 30, 2012 | 12.26 Mn |
| Jun 30, 2012 | 12.91 Mn |
| Mar 31, 2012 | 13.28 Mn |
| Dec 31, 2011 | 13.10 Mn |
| Sep 30, 2011 | 12.88 Mn |
| Jun 30, 2011 | 12.59 Mn |
| Mar 31, 2011 | 11.98 Mn |
API Access
Diebold Nixdorf Depreciation and Depletion 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=depreciation-and-depletion&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();