ClearPoint Neuro (CLPT) Non-Current Assets (2011 - 2026)
ClearPoint Neuro (CLPT) recorded Non-Current Assets of $37.81 million in Q2 2026, up 325.9% from $8.88 million a year earlier but down 1.9% from the prior quarter.
ClearPoint Neuro (CLPT) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, ClearPoint Neuro reported Non-Current Assets of $34.15 million, up 486.1% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 53.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $5.83 million in FY2024 (-10.2%), $6.49 million in FY2023 (+50.6%), $4.31 million in FY2022 (+16.8%) and $3.69 million in FY2021 (-9.0%).
- Quarterly Non-Current Assets has ranged from $3.6 million in Q2 2022 to $38.54 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for five consecutive quarters, with growth averaging 181.0% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 558.1% in Q1 2026, against a decline of 13.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.54 million (Q1 2026), $34.15 million (Q4 2025) and $9.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | ClearPoint Neuro | 467.00 Mn | 317.86 Mn | 6.71 Mn | 37.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.81 Mn |
| Mar 31, 2026 | 38.54 Mn |
| Dec 31, 2025 | 34.15 Mn |
| Sep 30, 2025 | 9.03 Mn |
| Jun 30, 2025 | 8.88 Mn |
| Mar 31, 2025 | 5.86 Mn |
| Dec 31, 2024 | 5.83 Mn |
| Sep 30, 2024 | 5.86 Mn |
| Jun 30, 2024 | 6.02 Mn |
| Mar 31, 2024 | 6.07 Mn |
| Dec 31, 2023 | 6.49 Mn |
| Sep 30, 2023 | 6.53 Mn |
| Jun 30, 2023 | 6.93 Mn |
| Mar 31, 2023 | 4.26 Mn |
| Dec 31, 2022 | 4.31 Mn |
| Sep 30, 2022 | 3.92 Mn |
| Jun 30, 2022 | 3.60 Mn |
| Mar 31, 2022 | 3.76 Mn |
| Dec 31, 2021 | 3.69 Mn |
| Sep 30, 2021 | 3.71 Mn |
ClearPoint Neuro Non-Current Assets 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=non-current-assets&ticker=CLPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CLPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();