Clearone (CLRO) Return on Sales [ROS] (2010 - 2025)
Clearone (CLRO) reported Return on Sales [ROS] of -183.64% for Q1 2025, down 126.27 percentage points from -57.37% a year earlier and down 91.11 percentage points from the prior quarter.
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Analysis
Clearone (CLRO) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
For FY2023, Clearone posted Return on Sales [ROS] of -36.21%, down 7.55 percentage points from FY2022.
- Return on Sales [ROS] has declined for three consecutive years, though with a five-year change of +0.47 percentage points (FY2018 to FY2023).
- By year, Return on Sales [ROS] came in at -28.65% in FY2022 (-2.78 pp), -25.87% in FY2021 (-6.72 pp), -19.15% in FY2020 (+15.04 pp) and -34.19% in FY2019 (+2.49 pp).
- The Q1 2025 figure ranks as the lowest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -40.14 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 22.55 percentage points); the low point was Q1 2025 (a drop of 126.27 percentage points).
- Per Business Quant data, the three quarters before Q1 2025 came in at -92.52% (Q4 2024), -75.23% (Q3 2024) and -126.91% (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 7.65% |
| 10 | Clearone | 10.92 Mn | 10.92 Mn | -70,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -183.64% |
| Dec 31, 2024 | -92.52% |
| Sep 30, 2024 | -75.23% |
| Jun 30, 2024 | -126.91% |
| Mar 31, 2024 | -57.37% |
| Dec 31, 2023 | -41.86% |
| Sep 30, 2023 | -30.46% |
| Jun 30, 2023 | -24.71% |
| Mar 31, 2023 | -52.39% |
| Dec 31, 2022 | -64.41% |
| Sep 30, 2022 | -18.04% |
| Jun 30, 2022 | -22.36% |
| Mar 31, 2022 | -24.56% |
| Dec 31, 2021 | -34.38% |
| Sep 30, 2021 | -28.73% |
| Jun 30, 2021 | -19.21% |
| Mar 31, 2021 | -21.65% |
| Dec 31, 2020 | -9.54% |
| Sep 30, 2020 | -13.79% |
| Jun 30, 2020 | -28.93% |
API Access
Clearone Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CLRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();