Workday (WDAY) Interest Expenses (2012 - 2014)
Workday's Interest Expenses was $7.77 million in fiscal Q2 2015 (quarter ended Jul 31, 2014), up 100.2% from $3.88 million a year earlier and up 0.7% from the prior quarter.
Workday (WDAY) Interest Expenses (2012 - 2014) Analysis & Trends
On a trailing twelve-month basis, Workday's Interest Expenses was $30.79 million through Jul 31, 2014, up 503.6% year-over-year; for FY2014 (ended Jan 31, 2014), it came in at $19.62 million.
- Interest Expenses shows a four-year compound annual growth rate of 206.9% (FY2010 to FY2014).
- In earlier fiscal years, Interest Expenses was $1.36 million in FY2013 (+39.7%), $976,000 in FY2012 and $221,000 in FY2010.
- The fiscal Q2 2015 figure marks the highest quarterly Interest Expenses in data going back to fiscal Q2 2013.
- Per Business Quant data, WDAY's Interest Expenses in the three fiscal quarters before Q2 2015 was $7.71 million (Q1 2015), $7.65 million (Q4 2014) and $7.66 million (Q3 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 1.43 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | - |
| 10 | Workday | 49.77 Bn | 25.89 Bn | 2.00 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2014 | 7.77 Mn |
| Apr 30, 2014 | 7.71 Mn |
| Jan 31, 2014 | 7.65 Mn |
| Oct 31, 2013 | 7.66 Mn |
| Jul 31, 2013 | 3.88 Mn |
| Apr 30, 2013 | 422,000.00 |
| Jan 31, 2013 | 369,000.00 |
| Oct 31, 2012 | 431,000.00 |
| Jul 31, 2012 | 306,000.00 |
Workday Interest Expenses 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=interest-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();