Diebold Nixdorf (DBD) Divestments (2009 - 2022)
Diebold Nixdorf's Divestments was $10.5 million in FY2022, up 854.5% from $1.1 million in FY2021.
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Analysis
Diebold Nixdorf (DBD) Divestments (2009 - 2022) Analysis & Trends
From FY2009 onward, Diebold Nixdorf has reported Divestments for 8 years.
- Divestments shows a four-year compound annual growth rate of -1.4% (FY2018 to FY2022).
- The FY2022 figure marks the highest annual Divestments since FY2019.
- Per Business Quant data, Divestments in earlier years was $1.1 million in FY2021, -$37 million in FY2020, $29.9 million in FY2019 (+169.4%) and $11.1 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (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 | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -2.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 21.00 Mn |
| Jun 30, 2022 | -4.70 Mn |
| Mar 31, 2022 | -5.80 Mn |
| Dec 31, 2021 | 6.90 Mn |
| Sep 30, 2021 | -11.60 Mn |
| Jun 30, 2021 | 5.80 Mn |
| Dec 31, 2020 | -84.90 Mn |
| Sep 30, 2020 | 95.80 Mn |
| Jun 30, 2020 | -9.40 Mn |
| Mar 31, 2020 | -38.50 Mn |
| Dec 31, 2019 | 100,000.00 |
| Sep 30, 2019 | 21.60 Mn |
| Jun 30, 2019 | 4.00 Mn |
| Mar 31, 2019 | 4.20 Mn |
| Sep 30, 2010 | 8,000.00 |
| Jun 30, 2010 | 605,000.00 |
| Mar 31, 2010 | 1.20 Mn |
| Dec 31, 2009 | 2.05 Mn |
API Access
Diebold Nixdorf Divestments 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=divestments&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();