Diebold Nixdorf (DBD) Depreciation & Amortization (CF) (2009 - 2026)
Diebold Nixdorf (DBD) recorded Depreciation & Amortization (CF) of $30.8 million in Q2 2026, down 1.3% from $31.2 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Diebold Nixdorf's Depreciation & Amortization (CF) came in at $124.6 million as of Jun 30, 2026, up 12.5% year-over-year; for FY2025, it came in at $127.5 million, down 3.6% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $132.3 million in FY2024 (+124.2%), $59 million in FY2023 (+4.6%), $56.4 million in FY2022 (-20.5%) and $70.9 million in FY2021 (-3.8%).
- Quarterly Depreciation & Amortization (CF) has ranged from $7.5 million in Q3 2024 to $54.4 million in Q2 2024 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined for three consecutive quarters, with growth averaging 87.4% over the last six quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 322.7% in Q3 2025, against a decline of 42.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.4 million (Q1 2026), $30.7 million (Q4 2025) and $31.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 10.87 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 8.41 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 12.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 24.19 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 4.25 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 51.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 1.63 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 85.00 Mn |
| 10 | Diebold Nixdorf | 2.08 Bn | 752.15 Mn | 239.60 Mn | 30.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.80 Mn |
| Mar 31, 2026 | 31.40 Mn |
| Dec 31, 2025 | 30.70 Mn |
| Sep 30, 2025 | 31.70 Mn |
| Jun 30, 2025 | 31.20 Mn |
| Mar 31, 2025 | 33.90 Mn |
| Dec 31, 2024 | 38.20 Mn |
| Sep 30, 2024 | 7.50 Mn |
| Jun 30, 2024 | 54.40 Mn |
| Mar 31, 2024 | 9.10 Mn |
| Sep 30, 2023 | 7.30 Mn |
| Mar 31, 2023 | 11.70 Mn |
| Dec 31, 2022 | 14.10 Mn |
| Sep 30, 2022 | 13.20 Mn |
| Jun 30, 2022 | 14.60 Mn |
| Mar 31, 2022 | 14.50 Mn |
| Dec 31, 2021 | 15.70 Mn |
| Sep 30, 2021 | 16.70 Mn |
| Jun 30, 2021 | 18.70 Mn |
| Mar 31, 2021 | 19.80 Mn |
API Access
Diebold Nixdorf Depreciation & Amortization (CF) 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-amortization-cf&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();