BOSTON SCIENTIFIC CORPORATION: basic weighted-average shares
Basic weighted-average shares for BOSTON SCIENTIFIC CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All BOSTON SCIENTIFIC CORPORATION 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 2007-01-01 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 | 1,480,400,000 | shares | 2026-02-17 | 10-K · 0000885725-26-000010 |
| 2024-01-01 | 2024-12-31 | 1,471,500,000 | shares | 2026-02-17 | 10-K · 0000885725-26-000010 |
| 2023-01-01 | 2023-12-31 | 1,453,000,000 | shares | 2026-02-17 | 10-K · 0000885725-26-000010 |
| 2022-01-01 | 2022-12-31 | 1,430,500,000 | shares | 2025-02-18 | 10-K · 0000885725-25-000011 |
| 2021-01-01 | 2021-12-31 | 1,422,300,000 | shares | 2024-02-20 | 10-K · 0000885725-24-000017 |
| 2020-01-01 | 2020-12-31 | 1,416,700,000 | shares | 2023-02-23 | 10-K · 0000885725-23-000008 |
| 2019-01-01 | 2019-12-31 | 1,391,500,000 | shares | 2022-02-23 | 10-K · 0000885725-22-000006 |
| 2018-01-01 | 2018-12-31 | 1,381,000,000 | shares | 2021-02-23 | 10-K · 0000885725-21-000008 |
| 2017-01-01 | 2017-12-31 | 1,370,100,000 | shares | 2020-02-25 | 10-K · 0000885725-20-000012 |
| 2016-01-01 | 2016-12-31 | 1,357,600,000 | shares | 2019-02-19 | 10-K · 0000885725-19-000011 |
| 2015-01-01 | 2015-12-31 | 1,341,200,000 | shares | 2018-02-20 | 10-K · 0000885725-18-000010 |
| 2014-01-01 | 2014-12-31 | 1,324,300,000 | shares | 2017-02-23 | 10-K · 0000885725-17-000006 |
| 2013-01-01 | 2013-12-31 | 1,341,200,000 | shares | 2016-02-24 | 10-K · 0000885725-16-000028 |
| 2012-01-01 | 2012-12-31 | 1,406,700,000 | shares | 2015-02-25 | 10-K · 0000885725-15-000006 |
| 2011-01-01 | 2011-12-31 | 1,509,300,000 | shares | 2014-02-26 | 10-K · 0000885725-14-000005 |
| 2010-01-01 | 2010-12-31 | 1,517,800,000 | shares | 2013-02-22 | 10-K · 0000885725-13-000007 |
| 2009-01-01 | 2009-12-31 | 1,507,900,000 | shares | 2012-02-17 | 10-K · 0000885725-12-000006 |
| 2008-01-01 | 2008-12-31 | 1,498,500,000 | shares | 2011-02-17 | 10-K · 0000950123-11-015112 |
| 2007-01-01 | 2007-12-31 | 1,486,900,000 | shares | 2010-02-26 | 10-K · 0000950123-10-017254 |
Related financial histories
- BOSTON SCIENTIFIC CORPORATION: total assets
- BOSTON SCIENTIFIC CORPORATION: stockholders equity
- BOSTON SCIENTIFIC CORPORATION: cash and cash equivalents
- BOSTON SCIENTIFIC CORPORATION: operating cash flow
- BOSTON SCIENTIFIC CORPORATION: capital expenditure payments
- BOSTON SCIENTIFIC CORPORATION: revenue
- BOSTON SCIENTIFIC CORPORATION: contract revenue excluding tax
- BOSTON SCIENTIFIC CORPORATION: financing cash flow
- BOSTON SCIENTIFIC CORPORATION: investing cash flow
- BOSTON SCIENTIFIC CORPORATION: retained earnings or deficit
- BOSTON SCIENTIFIC CORPORATION: diluted weighted-average shares
- BOSTON SCIENTIFIC CORPORATION: basic earnings per share
- BOSTON SCIENTIFIC CORPORATION: diluted earnings per share
- BOSTON SCIENTIFIC CORPORATION: income tax expense or benefit
- BOSTON SCIENTIFIC CORPORATION: net property, plant and equipment
- BOSTON SCIENTIFIC CORPORATION: share-based compensation expense
- BOSTON SCIENTIFIC CORPORATION: operating income or loss
- BOSTON SCIENTIFIC CORPORATION: current assets
- BOSTON SCIENTIFIC CORPORATION: interest expense
- BOSTON SCIENTIFIC CORPORATION: current liabilities
- BOSTON SCIENTIFIC CORPORATION: current accounts payable
- BOSTON SCIENTIFIC CORPORATION: goodwill carrying amount
- BOSTON SCIENTIFIC CORPORATION: common-stock repurchase payments
- BOSTON SCIENTIFIC CORPORATION: operating expenses
- BOSTON SCIENTIFIC CORPORATION: net inventory
- BOSTON SCIENTIFIC CORPORATION: gross profit
- BOSTON SCIENTIFIC CORPORATION: selling, general and administrative expense
Inspect the source
- Entity
- BOSTON SCIENTIFIC CORPORATION / CIK 0000885725
- Captured
- 2026-09-20T05:02:50.335Z
- SEC response SHA-256
06fbd22345eaba9b752251c5e485a8a67a53a54d553376a44919d4724a40c786
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/0000885725.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"])))