Diebold Nixdorf (DBD) Cash & Equivalents (2009 - 2026)
Diebold Nixdorf (DBD) recorded Cash & Equivalents of $282.4 million in Q2 2026, down 4.3% from $295.2 million a year earlier and down 24.4% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf reported Cash & Equivalents of $387.3 million, up 24.4% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $311.3 million in FY2024 (-47.4%), $592.3 million in FY2023 (+85.6%), $319.1 million in FY2022 (-17.9%) and $388.9 million in FY2021 (+19.8%).
- Quarterly Cash & Equivalents has ranged from $128.4 million in Q3 2022 to $592.3 million in Q4 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last seven quarters, with growth averaging 1.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 85.6% in Q4 2023, against a decline of 47.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $373.6 million (Q1 2026), $387.3 million (Q4 2025) and $246.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Diebold Nixdorf | 2.08 Bn | 752.15 Mn | 239.60 Mn | 282.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 282.40 Mn |
| Mar 31, 2026 | 373.60 Mn |
| Dec 31, 2025 | 387.30 Mn |
| Sep 30, 2025 | 246.10 Mn |
| Jun 30, 2025 | 295.20 Mn |
| Mar 31, 2025 | 320.20 Mn |
| Dec 31, 2024 | 311.30 Mn |
| Sep 30, 2024 | 251.10 Mn |
| Jun 30, 2024 | 276.70 Mn |
| Mar 31, 2024 | 281.90 Mn |
| Dec 31, 2023 | 592.30 Mn |
| Sep 30, 2023 | 376.10 Mn |
| Jun 30, 2023 | 504.60 Mn |
| Mar 31, 2023 | 234.60 Mn |
| Dec 31, 2022 | 319.10 Mn |
| Sep 30, 2022 | 128.40 Mn |
| Jun 30, 2022 | 249.90 Mn |
| Mar 31, 2022 | 224.70 Mn |
| Dec 31, 2021 | 388.90 Mn |
| Sep 30, 2021 | 215.90 Mn |
API Access
Diebold Nixdorf Cash & Equivalents 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=cash-and-equivalents&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();