Annovis Bio, Inc.: diluted weighted-average shares
Diluted weighted-average shares for Annovis Bio, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Annovis Bio, Inc. financial histories
What this measure means
Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.
Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 20,551,997 | shares | 2026-03-13 | 10-K · 0001104659-26-027751 |
| 2024-01-01 | 2024-12-31 | 12,235,444 | shares | 2026-03-13 | 10-K · 0001104659-26-027751 |
| 2023-01-01 | 2023-12-31 | 9,023,138 | shares | 2025-03-21 | 10-K · 0001558370-25-003482 |
| 2022-01-01 | 2022-12-31 | 8,162,326 | shares | 2024-03-29 | 10-K · 0001558370-24-004393 |
| 2021-01-01 | 2021-12-31 | 7,626,278 | shares | 2023-03-31 | 10-K · 0001104659-23-040275 |
| 2020-01-01 | 2020-12-31 | 6,308,961 | shares | 2022-03-02 | 10-K · 0001558370-22-002668 |
Related financial histories
- Annovis Bio, Inc.: total assets
- Annovis Bio, Inc.: total liabilities
- Annovis Bio, Inc.: stockholders equity
- Annovis Bio, Inc.: cash and cash equivalents
- Annovis Bio, Inc.: net income or loss
- Annovis Bio, Inc.: operating cash flow
- Annovis Bio, Inc.: financing cash flow
- Annovis Bio, Inc.: retained earnings or deficit
- Annovis Bio, Inc.: basic weighted-average shares
- Annovis Bio, Inc.: basic earnings per share
- Annovis Bio, Inc.: diluted earnings per share
- Annovis Bio, Inc.: share-based compensation expense
- Annovis Bio, Inc.: operating income or loss
- Annovis Bio, Inc.: current assets
- Annovis Bio, Inc.: current liabilities
- Annovis Bio, Inc.: current accounts payable
- Annovis Bio, Inc.: operating expenses
- Annovis Bio, Inc.: research and development expense
Inspect the source
- Entity
- Annovis Bio, Inc. / CIK 0001477845
- Captured
- 2026-09-20T09:08:33.639Z
- SEC response SHA-256
5f46431864276f3b86ddd5f520f0f0d740cabb76d1da6c6eaa47ff48ee863f51
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/0001477845.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"])))