Growth Metrics

Smith Micro Software (SMSI) Receivables Refunds (2010 - 2017)

Smith Micro Software posted quarterly Receivables Refunds of $1000.0 for Q3 2017, down 94.12% year-on-year from $17000.0 in Q3 2016, and little changed on a QoQ basis from $1000.0 in Q2 2017.

Smith Micro Software (SMSI) has 8 years of Receivables Refunds data on file, last reported at $1000.0 in Q3 2017.

  • For the quarter ending Q3 2017, Receivables Refunds fell 94.12% year-over-year to $1000.0; the trailing twelve-month figure through Sep 2017 stood at $1000.0 (down 94.12% YoY), and the FY2016 full-year result was $1000.0, down 92.31% from the prior year.
  • Receivables Refunds for Q3 2017 stood at $1000.0, roughly flat from $1000.0 in the prior quarter.
  • Across five years, Receivables Refunds topped out at $706000.0 in Q4 2014 and bottomed at $1000.0 in Q4 2016.
  • The 5-year median for Receivables Refunds is $33000.0 (2015), against an average of $299684.2.
  • The widest annual swing landed in 2015, when Receivables Refunds tumbled 98.71%; it then soared 88.89% in 2016.
  • A 5-year view of Receivables Refunds shows it stood at $699000.0 in 2013, then increased by 1.0% to $706000.0 in 2014, then plunged by 98.16% to $13000.0 in 2015, then tumbled by 92.31% to $1000.0 in 2016, then changed by 0.0% to $1000.0 in 2017.
  • The last three Receivables Refunds figures came in at $1000.0 (Q3 2017), $1000.0 (Q2 2017), and $1000.0 (Q1 2017), per Business Quant data.

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr) Refund Receivables (Qtr)
1 Sap Se 253.17 Bn 235.20 Bn 8.16 Bn 700.11 Mn
2 Salesforce 171.07 Bn 161.50 Bn 8.69 Bn -
3 Uber Technologies 151.10 Bn 150.06 Bn 11.88 Bn -
4 Shopify 134.25 Bn 128.50 Bn 1.55 Bn -
5 ServiceNow 105.72 Bn 100.54 Bn 2.83 Bn -
6 Cadence Design Systems 101.64 Bn 100.23 Bn 1.26 Bn -
7 Adobe 100.35 Bn 93.46 Bn 5.73 Bn -
8 Automatic Data Processing 90.91 Bn 87.68 Bn 2.87 Bn -
9 Intuit 88.30 Bn 81.52 Bn 6.77 Bn 52.00 Mn
10 Smith Micro Software 22.21 Mn 20.47 Mn 3.31 Mn -

Historic Data

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DateValue
Sep 30, 2017 1,000.00
Jun 30, 2017 1,000.00
Mar 31, 2017 1,000.00
Dec 31, 2016 1,000.00
Sep 30, 2016 17,000.00
Jun 30, 2016 18,000.00
Mar 31, 2016 13,000.00
Dec 31, 2015 13,000.00
Sep 30, 2015 9,000.00
Jun 30, 2015 42,000.00
Mar 31, 2015 33,000.00
Dec 31, 2014 706,000.00
Sep 30, 2014 699,000.00
Jun 30, 2014 702,000.00
Mar 31, 2014 699,000.00
Dec 31, 2013 699,000.00
Sep 30, 2013 680,000.00
Jun 30, 2013 679,000.00
Mar 31, 2013 681,000.00
Dec 31, 2012 681,000.00
Sep 30, 2012 7.54 Mn
Jun 30, 2012 7.69 Mn
Mar 31, 2012 7.94 Mn
Dec 31, 2011 8.29 Mn
Sep 30, 2011 8.05 Mn
Jun 30, 2011 3.05 Mn
Dec 31, 2010 2.87 Mn