Smith Micro Software (SMSI) Debt Ratio (2010 - 2025)
Smith Micro Software's (SMSI) Debt Ratio came in at 0.04 for Q4 2025, up 49.7% from the prior quarter.
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Analysis
Smith Micro Software (SMSI) Debt Ratio (2010 - 2025) Analysis & Trends
Since Q4 2010, Smith Micro Software has reported Debt Ratio for 23 quarters.
- In prior years, Smith Micro Software's Debt Ratio was 0.09 in FY2022.
- The Q4 2025 figure stands as the highest quarterly Debt Ratio since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 91.17 Bn | 66.42 Bn | 6.00 Bn | 0.05 |
| 2 | Atlassian | 45.78 Bn | 39.06 Bn | 1.53 Bn | 0.16 |
| 3 | Twilio | 44.66 Bn | 34.66 Bn | 725.87 Mn | - |
| 4 | Autodesk | 42.46 Bn | 30.50 Bn | 1.87 Bn | 0.23 |
| 5 | Zoom Communications | 25.83 Bn | -4.96 Bn | 985.50 Mn | - |
| 6 | Figma | 11.00 Bn | 4.50 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.18 Bn | 2.82 Bn | 506.50 Mn | 0.92 |
| 8 | Nice | 6.45 Bn | 4.92 Bn | 995.81 Mn | 0.00 |
| 9 | RingCentral | 6.23 Bn | 5.73 Bn | 472.31 Mn | 0.81 |
| 10 | Smith Micro Software | 14.87 Mn | 7.44 Mn | 3.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.04 |
| Sep 30, 2025 | 0.03 |
| Sep 30, 2023 | 0.04 |
| Jun 30, 2023 | 0.07 |
| Mar 31, 2023 | 0.10 |
| Dec 31, 2022 | 0.09 |
| Sep 30, 2022 | 0.03 |
| Sep 30, 2018 | 0.08 |
| Jun 30, 2018 | 0.08 |
| Mar 31, 2018 | 0.11 |
| Dec 31, 2017 | 0.11 |
| Sep 30, 2017 | 0.10 |
| Jun 30, 2017 | 0.08 |
| Mar 31, 2017 | 0.08 |
| Dec 31, 2016 | 0.09 |
| Sep 30, 2016 | 0.05 |
| Sep 30, 2012 | 0.06 |
| Jun 30, 2012 | 0.05 |
| Mar 31, 2012 | 0.05 |
| Dec 31, 2011 | 0.04 |
API Access
Smith Micro Software Debt Ratio 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=debt-ratio&ticker=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();