PALOMINO LABORATORIES INC.: basic weighted-average shares
Basic weighted-average shares for PALOMINO LABORATORIES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All PALOMINO LABORATORIES INC. financial histories
What this measure means
Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.
Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Reading these values
This selected numerical history matches Diluted weighted-average shares for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 6,710,995 | shares | 2026-03-31 | 10-K · 0001493152-26-014270 |
| 2024-01-01 | 2024-12-31 | 1,523,566 | shares | 2026-03-31 | 10-K · 0001493152-26-014270 |
| 2023-01-01 | 2023-12-31 | 5,000,000 | shares | 2025-03-28 | 10-K · 0001013762-25-004263 |
Related financial histories
- PALOMINO LABORATORIES INC.: total assets
- PALOMINO LABORATORIES INC.: total liabilities
- PALOMINO LABORATORIES INC.: stockholders equity
- PALOMINO LABORATORIES INC.: cash and cash equivalents
- PALOMINO LABORATORIES INC.: net income or loss
- PALOMINO LABORATORIES INC.: operating cash flow
- PALOMINO LABORATORIES INC.: financing cash flow
- PALOMINO LABORATORIES INC.: retained earnings or deficit
- PALOMINO LABORATORIES INC.: diluted weighted-average shares
- PALOMINO LABORATORIES INC.: basic earnings per share
- PALOMINO LABORATORIES INC.: diluted earnings per share
- PALOMINO LABORATORIES INC.: operating income or loss
- PALOMINO LABORATORIES INC.: current assets
- PALOMINO LABORATORIES INC.: current liabilities
Inspect the source
- Entity
- PALOMINO LABORATORIES INC. / CIK 0001938569
- Captured
- 2026-09-21T17:35:33.949Z
- SEC response SHA-256
86dd0aed1036d20a2ee33ac018013df882aa2f560598b7bfa981c6ae748958fd
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
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- 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/0001938569.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"])))