Clearone (CLRO) Debt Ratio (2019 - 2026)
Clearone's (CLRO) Debt Ratio was 0.51 for Q2 2026, up 303.0% from 0.13 a year earlier.
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Analysis
Clearone (CLRO) Debt Ratio (2019 - 2026) Analysis & Trends
For FY2022, Debt Ratio at Clearone was 0.04, down 41.2% from FY2021.
- By year, Debt Ratio came in at 0.08 in FY2021 (+20.6%), 0.06 in FY2020 (+55.9%) and 0.04 in FY2019.
- The Q2 2026 figure ranks as the highest quarterly Debt Ratio in data going back to Q4 2019.
- The high point for year-over-year Debt Ratio in five years was Q2 2026 (growth of 303.0%); the low point was Q3 2022 (a decline of 62.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 0.05 |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 0.16 |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | - |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 0.23 |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | - |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 0.92 |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 0.00 |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 0.81 |
| 10 | Clearone | 13.64 Mn | 13.64 Mn | -70,000.00 | 0.51 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.51 |
| Jun 30, 2025 | 0.13 |
| Sep 30, 2023 | 0.02 |
| Jun 30, 2023 | 0.03 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 0.04 |
| Sep 30, 2022 | 0.03 |
| Jun 30, 2022 | 0.03 |
| Mar 31, 2022 | 0.04 |
| Dec 31, 2021 | 0.08 |
| Sep 30, 2021 | 0.08 |
| Jun 30, 2021 | 0.06 |
| Mar 31, 2021 | 0.06 |
| Dec 31, 2020 | 0.06 |
| Sep 30, 2020 | 0.01 |
| Dec 31, 2019 | 0.04 |
API Access
Clearone 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=CLRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "CLRO", "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=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();