Clearone (CLRO) Return on Capital Employed [ROCE] (2011 - 2026)
Clearone (CLRO) posted Return on Capital Employed [ROCE] of -654.31% for Q2 2026, down 639.47 percentage points from -14.84% a year earlier and down 340.04 percentage points from the prior quarter.
Clearone (CLRO) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Clearone's Return on Capital Employed [ROCE] came in at -33.99%, down 27.90 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -23.20 percentage points (FY2020 to FY2025).
- In prior years, Clearone's Return on Capital Employed [ROCE] was -6.09% in FY2024 (+4.67 pp), -10.76% in FY2023 (+0.05 pp), -10.80% in FY2022 (+3.40 pp) and -14.20% in FY2021 (-3.41 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last three quarters, with an average year-over-year change of -125.37 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2025, with a gain of 9.54 percentage points; the weakest was Q2 2026, with a drop of 639.47 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -314.26% (Q1 2026), -91.11% (Q4 2025) and -19.33% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn | 51.31% |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn | 0.45% |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn | 2.39% |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn | 35.01% |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn | 11.23% |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn | -93.81% |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn | 38.55% |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn | 43.95% |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn | 23.49% |
| 10 | Clearone | 13.38 Mn | 13.38 Mn | -70,000.00 | -654.31% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -654.31% |
| Mar 31, 2026 | -314.26% |
| Dec 31, 2025 | -91.11% |
| Sep 30, 2025 | -19.33% |
| Jun 30, 2025 | -14.84% |
| Mar 31, 2025 | -19.18% |
| Dec 31, 2024 | -22.93% |
| Sep 30, 2024 | -28.88% |
| Jun 30, 2024 | -22.95% |
| Mar 31, 2024 | -21.32% |
| Dec 31, 2023 | -14.84% |
| Sep 30, 2023 | -16.92% |
| Jun 30, 2023 | -12.11% |
| Mar 31, 2023 | -9.87% |
| Dec 31, 2022 | -11.53% |
| Sep 30, 2022 | -13.39% |
| Jun 30, 2022 | -14.37% |
| Mar 31, 2022 | -13.94% |
| Dec 31, 2021 | -13.45% |
| Sep 30, 2021 | -10.89% |
Clearone Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CLRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();