Turnstone Biologics Corp.: research and development expense

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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 2022-01-01 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Turnstone Biologics Corp.: total assets
• Turnstone Biologics Corp.: total liabilities
• Turnstone Biologics Corp.: stockholders equity
• Turnstone Biologics Corp.: cash and cash equivalents
• Turnstone Biologics Corp.: net income or loss
• Turnstone Biologics Corp.: operating cash flow
• Turnstone Biologics Corp.: capital expenditure payments
• Turnstone Biologics Corp.: financing cash flow
• Turnstone Biologics Corp.: investing cash flow
• Turnstone Biologics Corp.: retained earnings or deficit
• Turnstone Biologics Corp.: basic weighted-average shares
• Turnstone Biologics Corp.: diluted weighted-average shares
• Turnstone Biologics Corp.: basic earnings per share
• Turnstone Biologics Corp.: diluted earnings per share
• Turnstone Biologics Corp.: income tax expense or benefit
• Turnstone Biologics Corp.: net property, plant and equipment
• Turnstone Biologics Corp.: share-based compensation expense
• Turnstone Biologics Corp.: operating income or loss
• Turnstone Biologics Corp.: current assets
• Turnstone Biologics Corp.: current liabilities
• Turnstone Biologics Corp.: current accounts payable
• Turnstone Biologics Corp.: net current accounts receivable
• Turnstone Biologics Corp.: operating expenses

Inspect the source

Entity

Turnstone Biologics Corp. / CIK 0001764974

Captured

2026-09-21T17:26:29.707Z

SEC response SHA-256

38c4bd0c3c9cde21543d4605b567069422c32104ef301b2cc9e19d93a2a67f1f

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/0001764974.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"])))