Clearone (CLRO) Other Accumulated Expenses (2015 - 2025)
Clearone's Other Accumulated Expenses was $113,000 in Q4 2025, down 16.9% from $136,000 a year earlier.
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Analysis
Clearone (CLRO) Other Accumulated Expenses (2015 - 2025) Analysis & Trends
From Q4 2015 onward, Clearone has reported Other Accumulated Expenses for 12 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -27.8% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $136,000 in FY2024 (-78.8%), $640,000 in FY2023 (+5.8%), $605,000 in FY2022 (-30.4%) and $869,000 in FY2021 (+51.1%).
- The Q4 2025 figure marks the lowest quarterly Other Accumulated Expenses in data going back to Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Clearone | 10.92 Mn | 10.92 Mn | -70,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 113,000.00 |
| Dec 31, 2024 | 136,000.00 |
| Mar 31, 2024 | 14.50 Mn |
| Dec 31, 2023 | 640,000.00 |
| Dec 31, 2022 | 605,000.00 |
| Dec 31, 2021 | 869,000.00 |
| Dec 31, 2020 | 575,000.00 |
| Dec 31, 2019 | 449,000.00 |
| Dec 31, 2018 | 537,000.00 |
| Dec 31, 2017 | 435,000.00 |
| Dec 31, 2016 | 319,000.00 |
| Dec 31, 2015 | 477,000.00 |
API Access
Clearone Other Accumulated 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=other-accumulated-expenses&ticker=CLRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();