ClearPoint Neuro (CLPT) Change in Accrued Expenses (2011 - 2026)
ClearPoint Neuro (CLPT) posted Change in Accrued Expenses of $92,000 for Q3 2026, down 78.6% from $429,000 a year earlier and down 92.4% from the prior quarter.
ClearPoint Neuro (CLPT) Change in Accrued Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at ClearPoint Neuro was -$5.14 million; for FY2025, it was -$7.52 million.
- In prior years, ClearPoint Neuro's Change in Accrued Expenses was $3.11 million in FY2024, -$649,000 in FY2023, $1.59 million in FY2022 (+23.8%) and $1.29 million in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$6.01 million in Q4 2025 to a high of $1.73 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in two of the last five quarters, with growth averaging 47.4%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q3 2022, with growth of 443.4%; the weakest was Q3 2026, with a decline of 78.6%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $1.21 million (Q2 2026), -$437,000 (Q1 2026) and -$6.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 30.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | - |
| 10 | ClearPoint Neuro | 266.30 Mn | 109.18 Mn | 7.06 Mn | 92,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 92,000.00 |
| Jun 30, 2026 | 1.21 Mn |
| Mar 31, 2026 | -437,000.00 |
| Dec 31, 2025 | -6.01 Mn |
| Sep 30, 2025 | 429,000.00 |
| Jun 30, 2025 | 938,000.00 |
| Mar 31, 2025 | -2.88 Mn |
| Dec 31, 2024 | 1.73 Mn |
| Sep 30, 2024 | 647,000.00 |
| Jun 30, 2024 | 1.66 Mn |
| Mar 31, 2024 | -931,000.00 |
| Dec 31, 2023 | 374,000.00 |
| Sep 30, 2023 | -741,000.00 |
| Jun 30, 2023 | 677,000.00 |
| Mar 31, 2023 | -959,000.00 |
| Dec 31, 2022 | 336,000.00 |
| Sep 30, 2022 | 576,000.00 |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | -692,000.00 |
| Dec 31, 2021 | -133,000.00 |
ClearPoint Neuro Change in Accrued Expenses 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-accured-expenses&ticker=CLPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=CLPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();