Salesforce (CRM) Accumulated Expenses (2009 - 2019)
Salesforce's Accumulated Expenses came in at $1.36 billion for fiscal Q4 2019 (quarter ended Jan 31, 2019), up 39.8% from $970 million a year earlier.
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Analysis
Salesforce (CRM) Accumulated Expenses (2009 - 2019) Analysis & Trends
Going back to fiscal Q4 2009, Salesforce's Accumulated Expenses data covers 17 quarters.
- Going back by fiscal year, Accumulated Expenses was $970 million in FY2018.
- The fiscal Q4 2019 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - |
| 10 | Strategy | 47.94 Bn | 40.93 Bn | 81.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2019 | 1.36 Bn |
| Jan 31, 2018 | 970.00 Mn |
| Oct 31, 2012 | 524.27 Mn |
| Jul 31, 2012 | 482.89 Mn |
| Apr 30, 2012 | 399.73 Mn |
| Jan 31, 2012 | 502.44 Mn |
| Oct 31, 2011 | 409.15 Mn |
| Jul 31, 2011 | 389.85 Mn |
| Apr 30, 2011 | 295.97 Mn |
| Jan 31, 2011 | 345.12 Mn |
| Oct 31, 2010 | 287.63 Mn |
| Jul 31, 2010 | 236.03 Mn |
| Apr 30, 2010 | 171.61 Mn |
| Jan 31, 2010 | 203.16 Mn |
| Oct 31, 2009 | 174.31 Mn |
| Jul 31, 2009 | 157.60 Mn |
| Jan 31, 2009 | 163.21 Mn |
API Access
Salesforce Accumulated 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=accumulated-expenses&ticker=CRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();