Salesforce (CRM) Other Accumulated Expenses (2010 - 2017)
Salesforce's Other Accumulated Expenses was $488.07 million in fiscal Q3 2018 (quarter ended Oct 31, 2017), down 2.1% from $498.77 million a year earlier but up 7.9% from the prior quarter.
Powered by 
Analysis
Salesforce (CRM) Other Accumulated Expenses (2010 - 2017) Analysis & Trends
At the end of FY2017 (ended Jan 31, 2017), Other Accumulated Expenses at Salesforce came in at $419.3 million, down 7.7% from FY2016.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 28.0% (FY2012 to FY2017).
- In earlier fiscal years, Other Accumulated Expenses was $454.29 million in FY2016 (+41.5%), $321.03 million in FY2015 (+36.3%), $235.54 million in FY2014 (+70.5%) and $138.17 million in FY2013 (+13.3%).
- Quarterly Other Accumulated Expenses has moved between $138.17 million (fiscal Q4 2013) and $562.85 million (fiscal Q1 2018) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 11.6%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q3 2014 (growth of 93.1%); the worst was fiscal Q2 2018 (a decline of 13.1%).
- Per Business Quant data, CRM's Other Accumulated Expenses in the three fiscal quarters before Q3 2018 was $452.4 million (Q2 2018), $562.85 million (Q1 2018) and $419.3 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2017 | 488.07 Mn |
| Jul 31, 2017 | 452.40 Mn |
| Apr 30, 2017 | 562.85 Mn |
| Jan 31, 2017 | 419.30 Mn |
| Oct 31, 2016 | 498.77 Mn |
| Jul 31, 2016 | 520.85 Mn |
| Apr 30, 2016 | 433.63 Mn |
| Jan 31, 2016 | 454.29 Mn |
| Oct 31, 2015 | 424.00 Mn |
| Jul 31, 2015 | 462.57 Mn |
| Apr 30, 2015 | 380.23 Mn |
| Jan 31, 2015 | 321.03 Mn |
| Oct 31, 2014 | 314.31 Mn |
| Jul 31, 2014 | 324.01 Mn |
| Apr 30, 2014 | 274.79 Mn |
| Jan 31, 2014 | 235.54 Mn |
| Oct 31, 2013 | 275.47 Mn |
| Jul 31, 2013 | 227.63 Mn |
| Jan 31, 2013 | 138.17 Mn |
| Oct 31, 2012 | 142.65 Mn |
API Access
Salesforce Other 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=other-accumulated-expenses&ticker=CRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=CRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();