Smith Micro Software (SMSI) Total Non-Current Liabilities (2010 - 2026)
Smith Micro Software (SMSI) reported Total Non-Current Liabilities of $3.86 million for Q2 2026, up 330.7% from $895,000 a year earlier and up 24.5% from the prior quarter.
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Analysis
Smith Micro Software (SMSI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Smith Micro Software posted Total Non-Current Liabilities of $462,000, down 71.8% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -39.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.64 million in FY2024 (-35.6%), $2.55 million in FY2023 (-60.7%), $6.47 million in FY2022 (+41.2%) and $4.58 million in FY2021 (-21.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with growth averaging 21.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 330.7%); the low point was Q3 2023 (a decline of 75.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.1 million (Q1 2026), $462,000 (Q4 2025) and $716,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 17.64 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 4.95 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 1.85 Bn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 9.27 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 2.17 Bn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 865.77 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 4.94 Bn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 238.53 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 1.96 Bn |
| 10 | Smith Micro Software | 14.87 Mn | 7.44 Mn | 3.53 Mn | 3.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.86 Mn |
| Mar 31, 2026 | 3.10 Mn |
| Dec 31, 2025 | 462,000.00 |
| Sep 30, 2025 | 716,000.00 |
| Jun 30, 2025 | 895,000.00 |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.64 Mn |
| Sep 30, 2024 | 2.02 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | 2.55 Mn |
| Sep 30, 2023 | 3.24 Mn |
| Jun 30, 2023 | 3.57 Mn |
| Mar 31, 2023 | 4.13 Mn |
| Dec 31, 2022 | 6.47 Mn |
| Sep 30, 2022 | 13.35 Mn |
| Jun 30, 2022 | 3.76 Mn |
| Mar 31, 2022 | 4.98 Mn |
| Dec 31, 2021 | 4.58 Mn |
| Sep 30, 2021 | 5.88 Mn |
API Access
Smith Micro Software Total Non-Current 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-non-current-liabilities&ticker=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();