Smith Micro Software (SMSI) Receivables (2010 - 2026)
Smith Micro Software's Receivables came in at $2.62 million for Q2 2026, down 8.7% from $2.87 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Smith Micro Software (SMSI) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Micro Software's Receivables was $1.82 million, down 68.2% from FY2024.
- Receivables has declined in each of the last five years, with a five-year compound annual growth rate of -31.8% (FY2020 to FY2025).
- Going back by year, Receivables was $5.72 million in FY2024 (-27.7%), $7.91 million in FY2023 (-24.7%), $10.5 million in FY2022 (-0.8%) and $10.59 million in FY2021 (-14.2%).
- The five-year range for quarterly Receivables is $1.82 million (Q4 2025) to $12.62 million (Q3 2021).
- Year-over-year, Receivables has declined for 11 consecutive quarters, with an average decline of 32.0% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2022 (growth of 44.7%), and the weakest in Q4 2025 (a decline of 68.2%).
- Business Quant data shows SMSI's Receivables at $2.9 million (Q1 2026), $1.82 million (Q4 2025) and $2.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.15 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.27 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 760.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 684.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 621.36 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 190.88 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 76.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 836.59 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 493.49 Mn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | 2.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 1.82 Mn |
| Sep 30, 2025 | 2.58 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 3.24 Mn |
| Dec 31, 2024 | 5.72 Mn |
| Sep 30, 2024 | 3.41 Mn |
| Jun 30, 2024 | 3.82 Mn |
| Mar 31, 2024 | 4.30 Mn |
| Dec 31, 2023 | 7.91 Mn |
| Sep 30, 2023 | 10.29 Mn |
| Jun 30, 2023 | 11.87 Mn |
| Mar 31, 2023 | 11.19 Mn |
| Dec 31, 2022 | 10.50 Mn |
| Sep 30, 2022 | 9.48 Mn |
| Jun 30, 2022 | 11.56 Mn |
| Mar 31, 2022 | 12.06 Mn |
| Dec 31, 2021 | 10.59 Mn |
| Sep 30, 2021 | 12.62 Mn |
API Access
Smith Micro Software Receivables 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=receivables&ticker=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();