Workday (WDAY) Times Interest Earned (2012 - 2014)
Workday's (WDAY) Times Interest Earned was -7.95 for fiscal Q2 2015 (quarter ended Jul 31, 2014), compared with -8.32 a year earlier.
Workday (WDAY) Times Interest Earned (2012 - 2014) Analysis & Trends
Over the twelve months ended Jul 31, 2014, Workday's Times Interest Earned came in at -6.57; for FY2014 (ended Jan 31, 2014), it was -7.81.
- By fiscal year, Times Interest Earned came in at -86.47 in FY2013, -80.37 in FY2012 and -253.67 in FY2010.
- Five-year quarterly Times Interest Earned spans a low of -94.82 in fiscal Q3 2013 and a high of -5.27 in fiscal Q3 2014.
- Per Business Quant data, the three fiscal quarters before Q2 2015 came in at -6.76 (Q1 2015), -6.27 (Q4 2014) and -5.27 (Q3 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | - |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | 4.71 |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | 6.79 |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | 69.75 |
| 10 | Workday | 50.64 Bn | 26.77 Bn | 2.00 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2014 | -7.95 |
| Apr 30, 2014 | -6.76 |
| Jan 31, 2014 | -6.27 |
| Oct 31, 2013 | -5.27 |
| Jul 31, 2013 | -8.32 |
| Apr 30, 2013 | -77.31 |
| Jan 31, 2013 | -83.14 |
| Oct 31, 2012 | -94.82 |
| Jul 31, 2012 | -86.14 |
Workday Times Interest Earned 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=times-interest-earned&ticker=WDAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "WDAY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=times-interest-earned&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();