Clearone (CLRO) Operating Expenses (2010 - 2026)
Clearone (CLRO) posted Operating Expenses of $849,000 for Q2 2026, down 22.3% from $1.09 million a year earlier but up 8.8% from the prior quarter.
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Analysis
Clearone (CLRO) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Clearone was $3.34 million, up 49.9% year-over-year; for FY2025, it was $4.07 million, up 109.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -25.8% (FY2020 to FY2025).
- In prior years, Clearone's Operating Expenses was $1.94 million in FY2024 (-85.2%), $13.13 million in FY2023 (-21.3%), $16.68 million in FY2022 (-14.1%) and $19.41 million in FY2021 (+7.1%).
- Quarterly Operating Expenses has run from a low of -$475,000 in Q4 2024 to a high of $5.11 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last six quarters, with an average decline of 39.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 16.2%; the weakest was Q1 2025, with a decline of 75.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $780,000 (Q1 2026), $888,000 (Q4 2025) and $827,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Clearone | 13.64 Mn | 13.64 Mn | -70,000.00 | 849,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 849,000.00 |
| Mar 31, 2026 | 780,000.00 |
| Dec 31, 2025 | 888,000.00 |
| Sep 30, 2025 | 827,000.00 |
| Jun 30, 2025 | 1.09 Mn |
| Mar 31, 2025 | 799,000.00 |
| Dec 31, 2024 | -475,000.00 |
| Sep 30, 2024 | 815,000.00 |
| Jun 30, 2024 | 2.90 Mn |
| Mar 31, 2024 | 3.23 Mn |
| Dec 31, 2023 | 3.32 Mn |
| Sep 30, 2023 | 3.11 Mn |
| Jun 30, 2023 | 3.20 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.85 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | 4.46 Mn |
| Mar 31, 2022 | 4.67 Mn |
| Dec 31, 2021 | 5.11 Mn |
| Sep 30, 2021 | 4.86 Mn |
API Access
Clearone Operating Expenses 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=operating-expenses&ticker=CLRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();