Omada Health, Inc.: basic weighted-average shares
Basic weighted-average shares for Omada Health, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Omada Health, 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 2026-09-20.
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 | 36,639,000 | shares | 2026-03-06 | 10-K · 0001628280-26-015637 |
| 2024-01-01 | 2024-12-31 | 7,721,000 | shares | 2026-03-06 | 10-K · 0001628280-26-015637 |
| 2023-01-01 | 2023-12-31 | 7,091,000 | shares | 2026-03-06 | 10-K · 0001628280-26-015637 |
Related financial histories
- Omada Health, Inc.: stockholders equity
- Omada Health, Inc.: net income or loss
- Omada Health, Inc.: operating cash flow
- Omada Health, Inc.: capital expenditure payments
- Omada Health, Inc.: contract revenue excluding tax
- Omada Health, Inc.: financing cash flow
- Omada Health, Inc.: investing cash flow
- Omada Health, Inc.: diluted weighted-average shares
- Omada Health, Inc.: basic earnings per share
- Omada Health, Inc.: diluted earnings per share
- Omada Health, Inc.: share-based compensation expense
- Omada Health, Inc.: operating income or loss
- Omada Health, Inc.: operating expenses
- Omada Health, Inc.: gross profit
- Omada Health, Inc.: cost of revenue
- Omada Health, Inc.: research and development expense
Inspect the source
- Entity
- Omada Health, Inc. / CIK 0001611115
- Captured
- 2026-09-20T09:26:54.663Z
- SEC response SHA-256
9da183d9311f52083f7fcbeb049a15abd5646bd5523cc91deed9c6320b0dcc1e
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/0001611115.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"])))