Smith Micro Software (SMSI) Assets (2010 - 2026)
Smith Micro Software (SMSI) reported Assets of $25.89 million for Q2 2026, down 12.5% from $29.58 million a year earlier but up 0.4% from the prior quarter.
Smith Micro Software (SMSI) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Micro Software posted Assets of $24.97 million, down 48.0% from FY2024.
- Assets has declined for four consecutive years, with a five-year compound annual growth rate of -19.3% (FY2020 to FY2025).
- By year, Assets came in at $48.05 million in FY2024 (-43.9%), $85.58 million in FY2023 (-17.4%), $103.58 million in FY2022 (-9.5%) and $114.51 million in FY2021 (+57.1%).
- Five-year quarterly Assets spans a low of $24.97 million in Q4 2025 and a high of $134.71 million in Q3 2021.
- Year over year, Assets has now declined in each of the last 18 quarters, with an average decline of 37.8% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q3 2021 (growth of 88.3%); the low point was Q3 2024 (a decline of 50.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.79 million (Q1 2026), $24.97 million (Q4 2025) and $27.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 29.98 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 6.10 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 10.84 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 12.98 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 13.59 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 2.35 Bn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 2.83 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 5.12 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.38 Bn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | 25.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.89 Mn |
| Mar 31, 2026 | 25.79 Mn |
| Dec 31, 2025 | 24.97 Mn |
| Sep 30, 2025 | 27.13 Mn |
| Jun 30, 2025 | 29.58 Mn |
| Mar 31, 2025 | 43.36 Mn |
| Dec 31, 2024 | 48.05 Mn |
| Sep 30, 2024 | 46.18 Mn |
| Jun 30, 2024 | 52.99 Mn |
| Mar 31, 2024 | 55.44 Mn |
| Dec 31, 2023 | 85.58 Mn |
| Sep 30, 2023 | 92.31 Mn |
| Jun 30, 2023 | 94.67 Mn |
| Mar 31, 2023 | 98.26 Mn |
| Dec 31, 2022 | 103.58 Mn |
| Sep 30, 2022 | 109.50 Mn |
| Jun 30, 2022 | 100.85 Mn |
| Mar 31, 2022 | 108.51 Mn |
| Dec 31, 2021 | 114.51 Mn |
| Sep 30, 2021 | 134.71 Mn |
Smith Micro Software Assets 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=assets&ticker=SMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();