ClearPoint Neuro (CLPT) Total Current Liabilities (2011 - 2026)
ClearPoint Neuro's Total Current Liabilities was $9.87 million in Q3 2026, up 22.6% from $8.05 million a year earlier but down 4.3% from the prior quarter.
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Analysis
ClearPoint Neuro (CLPT) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at ClearPoint Neuro came in at $10.77 million, up 4.0% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $10.35 million in FY2024 (+39.3%), $7.43 million in FY2023 (+9.5%), $6.79 million in FY2022 (+42.8%) and $4.75 million in FY2021 (+48.5%).
- Quarterly Total Current Liabilities has moved between $3.97 million (Q1 2022) and $16.69 million (Q2 2024) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 4.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2024 (growth of 169.2%); the worst was Q2 2025 (a decline of 55.7%).
- Per Business Quant data, CLPT's Total Current Liabilities in the three quarters before Q3 2026 was $10.31 million (Q2 2026), $9.48 million (Q1 2026) and $10.77 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 9.40 Bn |
| 10 | ClearPoint Neuro | 284.74 Mn | 127.61 Mn | 7.06 Mn | 9.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.87 Mn |
| Jun 30, 2026 | 10.31 Mn |
| Mar 31, 2026 | 9.48 Mn |
| Dec 31, 2025 | 10.77 Mn |
| Sep 30, 2025 | 8.05 Mn |
| Jun 30, 2025 | 7.40 Mn |
| Mar 31, 2025 | 6.87 Mn |
| Dec 31, 2024 | 10.35 Mn |
| Sep 30, 2024 | 7.55 Mn |
| Jun 30, 2024 | 16.69 Mn |
| Mar 31, 2024 | 15.16 Mn |
| Dec 31, 2023 | 7.43 Mn |
| Sep 30, 2023 | 5.59 Mn |
| Jun 30, 2023 | 6.20 Mn |
| Mar 31, 2023 | 6.05 Mn |
| Dec 31, 2022 | 6.79 Mn |
| Sep 30, 2022 | 6.10 Mn |
| Jun 30, 2022 | 5.48 Mn |
| Mar 31, 2022 | 3.97 Mn |
| Dec 31, 2021 | 4.75 Mn |
API Access
ClearPoint Neuro Total Current Liabilities 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=total-current-liabilities&ticker=CLPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CLPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();