ClearPoint Neuro, Inc.: cost of revenue

What this measure means

Costs attributed to goods produced and sold and services provided during the period. This is not the sum of every operating expense.

Exact concept: us-gaap:CostOfRevenue. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• ClearPoint Neuro, Inc.: total assets
• ClearPoint Neuro, Inc.: total liabilities
• ClearPoint Neuro, Inc.: stockholders equity
• ClearPoint Neuro, Inc.: cash and cash equivalents
• ClearPoint Neuro, Inc.: net income or loss
• ClearPoint Neuro, Inc.: operating cash flow
• ClearPoint Neuro, Inc.: capital expenditure payments
• ClearPoint Neuro, Inc.: revenue
• ClearPoint Neuro, Inc.: contract revenue excluding tax
• ClearPoint Neuro, Inc.: financing cash flow
• ClearPoint Neuro, Inc.: investing cash flow
• ClearPoint Neuro, Inc.: retained earnings or deficit
• ClearPoint Neuro, Inc.: basic weighted-average shares
• ClearPoint Neuro, Inc.: diluted weighted-average shares
• ClearPoint Neuro, Inc.: basic earnings per share
• ClearPoint Neuro, Inc.: diluted earnings per share
• ClearPoint Neuro, Inc.: income tax expense or benefit
• ClearPoint Neuro, Inc.: net property, plant and equipment
• ClearPoint Neuro, Inc.: share-based compensation expense
• ClearPoint Neuro, Inc.: operating income or loss
• ClearPoint Neuro, Inc.: current assets
• ClearPoint Neuro, Inc.: interest expense
• ClearPoint Neuro, Inc.: current liabilities
• ClearPoint Neuro, Inc.: current accounts payable
• ClearPoint Neuro, Inc.: net current accounts receivable
• ClearPoint Neuro, Inc.: net inventory
• ClearPoint Neuro, Inc.: gross profit
• ClearPoint Neuro, Inc.: selling, general and administrative expense
• ClearPoint Neuro, Inc.: research and development expense

Inspect the source

Entity

ClearPoint Neuro, Inc. / CIK 0001285550

Captured

2026-09-20T07:49:10.325Z

SEC response SHA-256

42cce1b4fae43ade1c2eab56e81afab6eae0d04e4ec290dc982d64b677ec31fb

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001285550.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))