ClearPoint Neuro (CLPT) Net Debt Issuances and Repayments (2011 - 2026)
ClearPoint Neuro (CLPT) reported Net Debt Issuances and Repayments of -$48.1 million for Q2 2026.
Analysis
ClearPoint Neuro (CLPT) Net Debt Issuances and Repayments (2011 - 2026) Analysis & Trends
For FY2025, ClearPoint Neuro posted Net Debt Issuances and Repayments of $48.09 million.
- Net Debt Issuances and Repayments has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By year, Net Debt Issuances and Repayments came in at -$10 million in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Net Debt Issuances and Repayments in data going back to Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | -1.40 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | -7.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | -3.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | -672.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | -2.29 Bn |
| 10 | ClearPoint Neuro | 266.30 Mn | 109.18 Mn | 7.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -48.10 Mn |
| Mar 31, 2026 | 48.10 Mn |
| Dec 31, 2025 | 19.43 Mn |
| Dec 31, 2020 | 24.26 Mn |
| Mar 31, 2020 | -2.84 Mn |
| Dec 31, 2019 | 344.00 |
| Sep 30, 2019 | -162,344.00 |
| Mar 31, 2012 | 3.42 Mn |
| Dec 31, 2011 | -1.31 Mn |
| Sep 30, 2011 | 810,000.00 |
API Access
ClearPoint Neuro Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=CLPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=CLPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();