KAIROS PHARMA, LTD.: stockholders equity
Stockholders equity for KAIROS PHARMA, LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All KAIROS PHARMA, LTD. financial histories
What this measure means
The reported residual interest after liabilities. It is an accounting amount, not market capitalization.
Exact concept: us-gaap:StockholdersEquity. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2022-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 6,341,000 | USD | 2026-03-31 | 10-K · 0001493152-26-014159 |
| At date | 2024-12-31 | 4,776,000 | USD | 2026-03-31 | 10-K · 0001493152-26-014159 |
| At date | 2023-12-31 | -2,078,000 | USD | 2026-03-31 | 10-K · 0001493152-26-014159 |
| At date | 2022-12-31 | -1,179,000 | USD | 2025-04-15 | 10-K · 0001641172-25-004920 |
Related financial histories
- KAIROS PHARMA, LTD.: total assets
- KAIROS PHARMA, LTD.: net income or loss
- KAIROS PHARMA, LTD.: operating cash flow
- KAIROS PHARMA, LTD.: financing cash flow
- KAIROS PHARMA, LTD.: retained earnings or deficit
- KAIROS PHARMA, LTD.: basic weighted-average shares
- KAIROS PHARMA, LTD.: diluted weighted-average shares
- KAIROS PHARMA, LTD.: basic earnings per share
- KAIROS PHARMA, LTD.: diluted earnings per share
- KAIROS PHARMA, LTD.: operating income or loss
- KAIROS PHARMA, LTD.: current assets
- KAIROS PHARMA, LTD.: current liabilities
- KAIROS PHARMA, LTD.: operating expenses
- KAIROS PHARMA, LTD.: research and development expense
Inspect the source
- Entity
- KAIROS PHARMA, LTD. / CIK 0001962011
- Captured
- 2026-09-21T17:36:36.412Z
- SEC response SHA-256
a016e6f1101ce4c42dce023667671a2480d6ebf885edc06482e1bf6a9ad2325a
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001962011.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"])))