ClearPoint Neuro (CLPT) Change in Intangibles (2020 - 2023)
ClearPoint Neuro (CLPT) posted Change in Intangibles of $167,000 for Q4 2023, down 22.3% from $215,000 a year earlier.
Powered by 
Analysis
ClearPoint Neuro (CLPT) Change in Intangibles (2020 - 2023) Analysis & Trends
For FY2023, ClearPoint Neuro's Change in Intangibles came in at $334,000, down 62.6% from FY2022.
- Annual Change in Intangibles shows a four-year compound annual growth rate of 22.2% (FY2019 to FY2023).
- In prior years, ClearPoint Neuro's Change in Intangibles was $893,000 in FY2022, $441,000 in FY2020 (+194.0%) and $150,000 in FY2019.
- Quarterly Change in Intangibles has run from a low of $116,000 in Q1 2022 to a high of $562,000 in Q3 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | - |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | - |
| 10 | ClearPoint Neuro | 266.30 Mn | 109.18 Mn | 7.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 167,000.00 |
| Jun 30, 2023 | 167,000.00 |
| Dec 31, 2022 | 215,000.00 |
| Sep 30, 2022 | 562,000.00 |
| Mar 31, 2022 | 116,000.00 |
| Mar 31, 2020 | 441,000.00 |
API Access
ClearPoint Neuro Change in Intangibles 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=change-in-intangibles&ticker=CLPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "ticker": "CLPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-intangibles&ticker=CLPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();