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.
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 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
| 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 |
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_KEY
import 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();