Smith Micro Software (SMSI) Non-Current Assets (2010 - 2026)
Smith Micro Software (SMSI) posted Non-Current Assets of $19.09 million for Q2 2026, down 19.5% from $23.72 million a year earlier and down 3.7% from the prior quarter.
Smith Micro Software (SMSI) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Micro Software's Non-Current Assets came in at $20.44 million, down 46.3% from FY2024.
- Annual Non-Current Assets has declined for four consecutive years, with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- In prior years, Smith Micro Software's Non-Current Assets was $38.05 million in FY2024 (-44.6%), $68.7 million in FY2023 (-10.9%), $77.07 million in FY2022 (-10.2%) and $85.86 million in FY2021 (+155.4%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2019.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 17 quarters, with an average decline of 37.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2022, with growth of 170.6%; the weakest was Q4 2025, with a decline of 46.3%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $19.83 million (Q1 2026), $20.44 million (Q4 2025) and $22.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 20.82 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 3.31 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 7.09 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 7.31 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 5.47 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 374.23 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 1.56 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 3.65 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 648.15 Mn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | 19.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.09 Mn |
| Mar 31, 2026 | 19.83 Mn |
| Dec 31, 2025 | 20.44 Mn |
| Sep 30, 2025 | 22.07 Mn |
| Jun 30, 2025 | 23.72 Mn |
| Mar 31, 2025 | 36.40 Mn |
| Dec 31, 2024 | 38.05 Mn |
| Sep 30, 2024 | 39.76 Mn |
| Jun 30, 2024 | 41.48 Mn |
| Mar 31, 2024 | 43.18 Mn |
| Dec 31, 2023 | 68.70 Mn |
| Sep 30, 2023 | 71.10 Mn |
| Jun 30, 2023 | 73.03 Mn |
| Mar 31, 2023 | 75.03 Mn |
| Dec 31, 2022 | 77.07 Mn |
| Sep 30, 2022 | 79.93 Mn |
| Jun 30, 2022 | 81.41 Mn |
| Mar 31, 2022 | 84.42 Mn |
| Dec 31, 2021 | 85.86 Mn |
| Sep 30, 2021 | 87.79 Mn |
Smith Micro Software Non-Current 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=non-current-assets&ticker=SMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();