Diebold Nixdorf (DBD) Payout Ratio (2010 - 2016)
Diebold Nixdorf's (DBD) Payout Ratio came in at 0.98 for Q3 2016, down 7.0% from 1.06 a year earlier but up 161.2% from the prior quarter.
Analysis
Diebold Nixdorf (DBD) Payout Ratio (2010 - 2016) Analysis & Trends
For FY2015, Diebold Nixdorf's Payout Ratio stood at 1.03, up 56.7% from FY2014.
- In prior years, Diebold Nixdorf's Payout Ratio was 0.65 in FY2014, 0.99 in FY2012 (+95.7%) and 0.51 in FY2011.
- Quarterly Payout Ratio has run from a low of 0.31 in Q1 2016 to a high of 4.51 in Q1 2013 over five years.
- On a year-over-year basis, Payout Ratio has declined in each of the last three quarters, with an average decline of 21.3% over the last five quarters.
- According to Business Quant data, Payout Ratio for the three prior quarters was 0.38 (Q2 2016), 0.31 (Q1 2016) and 1.03 (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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, 2016 | 0.98 |
| Jun 30, 2016 | 0.38 |
| Mar 31, 2016 | 0.31 |
| Dec 31, 2015 | 1.03 |
| Sep 30, 2015 | 1.06 |
| Jun 30, 2015 | 0.91 |
| Mar 31, 2015 | 0.74 |
| Dec 31, 2014 | 0.65 |
| Sep 30, 2014 | 1.74 |
| Mar 31, 2013 | 4.51 |
| Dec 31, 2012 | 0.99 |
| Sep 30, 2012 | 0.44 |
| Jun 30, 2012 | 0.38 |
| Mar 31, 2012 | 0.39 |
| Dec 31, 2011 | 0.50 |
| Sep 30, 2010 | 0.71 |
| Jun 30, 2010 | 1.49 |
API Access
Diebold Nixdorf Payout Ratio 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=payout-ratio&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();