Diebold Nixdorf (DBD) Cash from Discontinued Operations (2015 - 2016)
Diebold Nixdorf (DBD) posted Cash from Discontinued Operations of -$2.4 million for Q4 2016, compared with $2.6 million a year earlier.
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Analysis
Diebold Nixdorf (DBD) Cash from Discontinued Operations (2015 - 2016) Analysis & Trends
For FY2016, Diebold Nixdorf's Cash from Discontinued Operations came in at -$10.6 million.
- In prior years, Diebold Nixdorf's Cash from Discontinued Operations was $5.1 million in FY2015, -$2.2 million in FY2014 and $1.3 million in FY2013.
- Quarterly Cash from Discontinued Operations has run from a low of -$5.3 million in Q1 2016 to a high of $2.6 million in Q4 2015 over five years.
- According to Business Quant data, Cash from Discontinued Operations for the three prior quarters was -$2 million (Q3 2016), -$900,000 (Q2 2016) and -$5.3 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Discont. Ops (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | - |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | - |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | - |
| 10 | Diebold Nixdorf | 2.16 Bn | 826.96 Mn | 239.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -2.40 Mn |
| Sep 30, 2016 | -2.00 Mn |
| Jun 30, 2016 | -900,000.00 |
| Mar 31, 2016 | -5.30 Mn |
| Dec 31, 2015 | 2.60 Mn |
| Sep 30, 2015 | 2.20 Mn |
| Jun 30, 2015 | -2.10 Mn |
| Mar 31, 2015 | 2.40 Mn |
API Access
Diebold Nixdorf Cash from Discontinued Operations 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-from-discontinued-operations&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-discontinued-operations", "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-from-discontinued-operations&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();