Smith Micro Software (SMSI) Accumulated Expenses (2010 - 2017)
Smith Micro Software's Accumulated Expenses came in at $3.18 million for Q3 2017, down 31.8% from $4.67 million a year earlier and down 0.9% from the prior quarter.
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Analysis
Smith Micro Software (SMSI) Accumulated Expenses (2010 - 2017) Analysis & Trends
At the end of FY2016, Smith Micro Software's Accumulated Expenses was $3.5 million, down 30.8% from FY2015.
- Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -14.4% (FY2011 to FY2016).
- Going back by year, Accumulated Expenses was $5.06 million in FY2015 (-12.0%), $5.75 million in FY2014 (-25.6%), $7.73 million in FY2013 (+60.2%) and $4.83 million in FY2012 (-36.8%).
- The Q3 2017 figure represents the lowest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Accumulated Expenses has declined for six consecutive quarters, with an average decline of 18.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2013 (growth of 109.6%), and the weakest in Q1 2017 (a decline of 40.8%).
- Business Quant data shows SMSI's Accumulated Expenses at $3.21 million (Q2 2017), $3.28 million (Q1 2017) and $3.5 million (Q4 2016) in the three quarters before Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Smith Micro Software | 14.87 Mn | 7.44 Mn | 3.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 3.18 Mn |
| Jun 30, 2017 | 3.21 Mn |
| Mar 31, 2017 | 3.28 Mn |
| Dec 31, 2016 | 3.50 Mn |
| Sep 30, 2016 | 4.67 Mn |
| Jun 30, 2016 | 5.01 Mn |
| Mar 31, 2016 | 5.54 Mn |
| Dec 31, 2015 | 5.06 Mn |
| Sep 30, 2015 | 5.03 Mn |
| Jun 30, 2015 | 5.06 Mn |
| Mar 31, 2015 | 5.13 Mn |
| Dec 31, 2014 | 5.75 Mn |
| Sep 30, 2014 | 6.08 Mn |
| Jun 30, 2014 | 6.72 Mn |
| Mar 31, 2014 | 7.16 Mn |
| Dec 31, 2013 | 7.73 Mn |
| Sep 30, 2013 | 9.85 Mn |
| Jun 30, 2013 | 6.52 Mn |
| Mar 31, 2013 | 6.23 Mn |
| Dec 31, 2012 | 4.83 Mn |
API Access
Smith Micro Software 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=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SMSI", "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=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();