Clearone (CLRO) Long-Term Debt Repayments (2021 - 2023)
Clearone (CLRO) reported Long-Term Debt Repayments of $1.25 million for Q4 2023, up 591.7% from $180,000 a year earlier and up 453.3% from the prior quarter.
Clearone (CLRO) Long-Term Debt Repayments (2021 - 2023) Analysis & Trends
For FY2023, Clearone posted Long-Term Debt Repayments of $3.92 million, up 444.4% from FY2022.
- By year, Long-Term Debt Repayments came in at $720,000 in FY2022 (-34.4%) and $1.1 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of -$10,000 in Q2 2022 and a high of $2.23 million in Q1 2023.
- Year over year, Long-Term Debt Repayments gained in five of the last six quarters, with growth averaging 241.8%.
- Per Business Quant data, the three quarters before Q4 2023 came in at $225,000 (Q3 2023), $225,000 (Q2 2023) and $2.23 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | - |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 64,000.00 |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | - |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | - |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | - |
| 10 | Clearone | 13.99 Mn | 13.99 Mn | -70,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 225,000.00 |
| Jun 30, 2023 | 225,000.00 |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 180,000.00 |
| Sep 30, 2022 | 180,000.00 |
| Jun 30, 2022 | -10,000.00 |
| Mar 31, 2022 | 370,000.00 |
| Dec 31, 2021 | 828,000.00 |
| Sep 30, 2021 | 90,000.00 |
| Jun 30, 2021 | 90,000.00 |
| Mar 31, 2021 | 90,000.00 |
Clearone Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CLRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();