Diebold Nixdorf (DBD) Gains from Sales and Divestitures (2010 - 2024)
Diebold Nixdorf's Gains from Sales and Divestitures was -$600,000 in Q4 2024.
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Analysis
Diebold Nixdorf (DBD) Gains from Sales and Divestitures (2010 - 2024) Analysis & Trends
For FY2024, Gains from Sales and Divestitures at Diebold Nixdorf came in at $1.2 million, up 20.0% from FY2023.
- In earlier years, Gains from Sales and Divestitures was $1 million in FY2023 (-80.4%), $5.1 million in FY2022, -$3.1 million in FY2021 and $11.5 million in FY2020.
- The Q4 2024 figure marks the lowest quarterly Gains from Sales and Divestitures since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Diebold Nixdorf | 2.17 Bn | 842.26 Mn | 239.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -600,000.00 |
| Mar 31, 2024 | 1.00 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | -900,000.00 |
| Mar 31, 2023 | -300,000.00 |
| Dec 31, 2022 | -300,000.00 |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 100,000.00 |
| Mar 31, 2022 | -200,000.00 |
| Dec 31, 2021 | -5.00 Mn |
| Jun 30, 2021 | 1.40 Mn |
| Mar 31, 2021 | 500,000.00 |
| Dec 31, 2020 | 24.50 Mn |
| Jun 30, 2020 | -14.80 Mn |
| Mar 31, 2020 | 1.80 Mn |
| Dec 31, 2019 | -1.00 Mn |
| Sep 30, 2019 | 8.50 Mn |
| Jun 30, 2019 | -11.70 Mn |
| Mar 31, 2019 | -3.40 Mn |
| Dec 31, 2018 | -100,000.00 |
API Access
Diebold Nixdorf Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();