Clearone (CLRO) Price to Earnings (2011 - 2023)
Clearone's Price to Earnings came in at 0.87 for Q3 2023, down 8.0% from the prior quarter.
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Analysis
Clearone (CLRO) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2022, Clearone's Price to Earnings was 1.77.
- Going back by year, Price to Earnings was 84.40 in FY2020.
- The Q3 2023 figure represents the lowest quarterly Price to Earnings in data going back to Q1 2011.
- Business Quant data shows CLRO's Price to Earnings at 0.95 (Q2 2023), 1.67 (Q1 2023) and 1.77 (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Clearone | 13.38 Mn | 13.38 Mn | -70,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 0.87 |
| Jun 30, 2023 | 0.95 |
| Mar 31, 2023 | 1.67 |
| Dec 31, 2022 | 1.77 |
| Sep 30, 2021 | 317.45 |
| Jun 30, 2021 | 49.10 |
| Mar 31, 2021 | 96.98 |
| Dec 31, 2020 | 84.40 |
| Mar 31, 2017 | 142.96 |
| Dec 31, 2016 | 41.11 |
| Sep 30, 2016 | 19.57 |
| Jun 30, 2016 | 15.85 |
| Mar 31, 2016 | 15.56 |
| Dec 31, 2015 | 17.53 |
| Sep 30, 2015 | 13.75 |
| Jun 30, 2015 | 16.80 |
| Mar 31, 2015 | 15.22 |
| Dec 31, 2014 | 15.89 |
| Sep 30, 2014 | 16.45 |
| Jun 30, 2014 | 19.03 |
API Access
Clearone Price to Earnings 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=price-to-earnings&ticker=CLRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();