Strategy (MSTR) Accumulated Expenses (2014 - 2016)
Strategy's Accumulated Expenses came in at $2,000 for Q3 2016, down 98.0% from $98,000 a year earlier and down 92.0% from the prior quarter.
Analysis
Strategy (MSTR) Accumulated Expenses (2014 - 2016) Analysis & Trends
At the end of FY2015, Strategy's Accumulated Expenses was $56,000, down 97.5% from FY2014.
- Going back by year, Accumulated Expenses was $2.28 million in FY2014.
- The Q3 2016 figure represents the lowest quarterly Accumulated Expenses in data going back to Q3 2014.
- Year-over-year, Accumulated Expenses has declined for five consecutive quarters, with an average decline of 96.0% over the last five quarters.
- Business Quant data shows MSTR's Accumulated Expenses at $25,000 (Q2 2016), $33,000 (Q1 2016) and $56,000 (Q4 2015) in the three quarters before Q3 2016.
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 |
|---|---|
| Sep 30, 2016 | 2,000.00 |
| Jun 30, 2016 | 25,000.00 |
| Mar 31, 2016 | 33,000.00 |
| Dec 31, 2015 | 56,000.00 |
| Sep 30, 2015 | 98,000.00 |
| Jun 30, 2015 | 236,000.00 |
| Mar 31, 2015 | 879,000.00 |
| Dec 31, 2014 | 2.28 Mn |
| Sep 30, 2014 | 8.06 Mn |
API Access
Strategy 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=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MSTR", "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=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();