Workday (WDAY) Non Operating Interest Expenses (2012 - 2014)
Workday (WDAY) posted Non Operating Interest Expenses of $7.8 million for Q3 2014, up 0.74% on a QoQ basis from $7.7 million in Q2 2014, and up 100.18% year-over-year from $3.9 million in Q3 2013.
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Analysis
Workday (WDAY) Non Operating Interest Expenses (2012 - 2014) Analysis & Trends
Workday has reported Non Operating Interest Expenses for 3 years, with the latest figure at $7.8 million in Q3 2014.
- On a quarterly basis, Non Operating Interest Expenses rose 100.18% year-over-year to $7.8 million in Q3 2014; TTM through Jul 2014 was $30.8 million, a 503.61% increase from a year earlier, with the FY2014 full-year figure at $19.6 million, up 1339.33% from the prior year.
- Non Operating Interest Expenses was $7.8 million for Q3 2014 at Workday, up from $7.7 million in the prior quarter.
- The five-year high for Non Operating Interest Expenses was $7.8 million in Q3 2014, with the low at $369000.0 in Q1 2013.
- Average Non Operating Interest Expenses over 3 years is $4.0 million, with a median of $3.9 million recorded in 2013.
- The largest YoY upside for Non Operating Interest Expenses was 1974.25% in 2014 against a maximum downside of 100.18% in 2014.
- Over 3 years, Non Operating Interest Expenses stood at $431000.0 in 2012, then surged by 1677.96% to $7.7 million in 2013, then gained by 1.33% to $7.8 million in 2014.
- The last three Non Operating Interest Expenses figures came in at $7.8 million (Q3 2014), $7.7 million (Q2 2014), and $7.7 million (Q1 2014), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 1.43 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 70.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | - |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
Download Data
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 |
API Access
Workday Non Operating 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=non-operating-interest-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();