Sap Se (SAP) Change in Accured Expenses (2009)
Sap Se (SAP) reported Change in Accured Expenses of $109.86 million for the year ended Dec 31, 2018, down 76.5% from $468 million a year earlier.
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Analysis
Sap Se (SAP) Change in Accured Expenses (2009) Analysis & Trends
Dating back to the year ended Dec 31, 2009, Sap Se's Change in Accured Expenses record includes 5 years.
- Change in Accured Expenses has declined for three consecutive years, with a three-year compound annual growth rate of -49.3% (years ended Dec 2015 to Dec 2018).
- The figure for the year ended Dec 31, 2018 ranks as the lowest annual Change in Accured Expenses since the year ended Dec 31, 2009.
- According to Business Quant data, Change in Accured Expenses came in at $468 million in the year ended Dec 31, 2017 (-17.6%), $567.92 million in the year ended Dec 31, 2016 (-32.5%) and $840.87 million in the year ended Dec 31, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | -1.08 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2009 | 871.27 Mn |
| Sep 30, 2009 | 125.85 Mn |
| Jun 30, 2009 | -375.81 Mn |
| Mar 31, 2009 | -506.09 Mn |
API Access
Sap Se Change in Accured 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=change-in-accured-expenses&ticker=SAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SAP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();