Smith Micro Software (SMSI) Total Liabilities (2010 - 2026)
Smith Micro Software (SMSI) reported Total Liabilities of $8.56 million for Q2 2026, up 19.4% from $7.17 million a year earlier and up 14.9% from the prior quarter.
Smith Micro Software (SMSI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Micro Software posted Total Liabilities of $6.58 million, down 9.7% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $7.29 million in FY2024 (-28.4%), $10.19 million in FY2023 (-62.6%), $27.2 million in FY2022 (+95.0%) and $13.95 million in FY2021 (-1.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q2 2024.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 16.2%.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 121.9%); the low point was Q4 2023 (a decline of 62.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.45 million (Q1 2026), $6.58 million (Q4 2025) and $7.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.86 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 9.60 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | 8.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.56 Mn |
| Mar 31, 2026 | 7.45 Mn |
| Dec 31, 2025 | 6.58 Mn |
| Sep 30, 2025 | 7.24 Mn |
| Jun 30, 2025 | 7.17 Mn |
| Mar 31, 2025 | 6.80 Mn |
| Dec 31, 2024 | 7.29 Mn |
| Sep 30, 2024 | 8.43 Mn |
| Jun 30, 2024 | 10.09 Mn |
| Mar 31, 2024 | 10.00 Mn |
| Dec 31, 2023 | 10.19 Mn |
| Sep 30, 2023 | 15.42 Mn |
| Jun 30, 2023 | 20.18 Mn |
| Mar 31, 2023 | 24.37 Mn |
| Dec 31, 2022 | 27.20 Mn |
| Sep 30, 2022 | 26.11 Mn |
| Jun 30, 2022 | 13.92 Mn |
| Mar 31, 2022 | 14.33 Mn |
| Dec 31, 2021 | 13.95 Mn |
| Sep 30, 2021 | 30.89 Mn |
Smith Micro Software Total Liabilities 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=total-liabilities&ticker=SMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();