Clearone (CLRO) Accumulated Depreciation (2015 - 2024)
Clearone (CLRO) reported Accumulated Depreciation of $1.45 million for Q4 2024, up 17.5% from $1.23 million a year earlier.
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Analysis
Clearone (CLRO) Accumulated Depreciation (2015 - 2024) Analysis & Trends
Dating back to Q4 2015, Clearone's Accumulated Depreciation record includes 10 quarters.
- Accumulated Depreciation has a five-year compound annual growth rate of -29.9% (FY2019 to FY2024).
- By year, Accumulated Depreciation came in at $1.23 million in FY2023 (+24.3%), $991,000 in FY2022 (-89.4%), $9.33 million in FY2021 (+4.1%) and $8.96 million in FY2020 (+5.1%).
- The Q4 2024 figure ranks as the highest quarterly Accumulated Depreciation since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Clearone | 13.99 Mn | 13.99 Mn | -70,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.45 Mn |
| Dec 31, 2023 | 1.23 Mn |
| Dec 31, 2022 | 991,000.00 |
| Dec 31, 2021 | 9.33 Mn |
| Dec 31, 2020 | 8.96 Mn |
| Dec 31, 2019 | 8.53 Mn |
| Dec 31, 2018 | 8.06 Mn |
| Dec 31, 2017 | 7.60 Mn |
| Dec 31, 2016 | 7.35 Mn |
| Dec 31, 2015 | 6.79 Mn |
API Access
Clearone Accumulated Depreciation 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=accumulated-depreciation&ticker=CLRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=CLRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();