GLOBUS MEDICAL, INC.: diluted weighted-average shares
Diluted weighted-average shares for GLOBUS MEDICAL, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All GLOBUS MEDICAL, 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 2010-01-01 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 | 137,056,000 | shares | 2026-02-24 | 10-K · 0001628280-26-011209 |
| 2024-01-01 | 2024-12-31 | 137,863,000 | shares | 2026-02-24 | 10-K · 0001628280-26-011209 |
| 2023-01-01 | 2023-12-31 | 114,630,000 | shares | 2026-02-24 | 10-K · 0001628280-26-011209 |
| 2022-01-01 | 2022-12-31 | 102,643,000 | shares | 2025-02-20 | 10-K · 0001562762-25-000026 |
| 2021-01-01 | 2021-12-31 | 103,623,000 | shares | 2024-02-21 | 10-K · 0001562762-24-000032 |
| 2020-01-01 | 2020-12-31 | 100,971,000 | shares | 2023-02-21 | 10-K · 0001562762-23-000048 |
| 2019-01-01 | 2019-12-31 | 101,998,000 | shares | 2022-02-17 | 10-K · 0001562762-22-000037 |
| 2018-01-01 | 2018-12-31 | 101,316,000 | shares | 2021-02-17 | 10-K · 0001562762-21-000036 |
| 2017-01-01 | 2017-12-31 | 97,887,000 | shares | 2020-03-02 | 10-K/A · 0001237831-20-000015 |
| 2016-01-01 | 2016-12-31 | 96,432,000 | shares | 2019-02-21 | 10-K · 0001237831-19-000014 |
| 2015-01-01 | 2015-12-31 | 96,073,000 | shares | 2018-02-22 | 10-K · 0001237831-18-000012 |
| 2014-01-01 | 2014-12-31 | 95,457,000 | shares | 2017-03-16 | 10-K · 0001237831-17-000009 |
| 2013-01-01 | 2013-12-31 | 94,192,000 | shares | 2016-02-29 | 10-K · 0001237831-16-000075 |
| 2012-01-01 | 2012-12-31 | 92,208,000 | shares | 2015-02-26 | 10-K · 0001237831-15-000009 |
| 2011-01-01 | 2011-12-31 | 90,420,000 | shares | 2014-03-14 | 10-K · 0001237831-14-000012 |
| 2010-01-01 | 2010-12-31 | 91,352,000 | shares | 2013-06-13 | 10-K/A · 0001237831-13-000034 |
Related financial histories
- GLOBUS MEDICAL, INC.: total assets
- GLOBUS MEDICAL, INC.: total liabilities
- GLOBUS MEDICAL, INC.: stockholders equity
- GLOBUS MEDICAL, INC.: cash and cash equivalents
- GLOBUS MEDICAL, INC.: net income or loss
- GLOBUS MEDICAL, INC.: operating cash flow
- GLOBUS MEDICAL, INC.: capital expenditure payments
- GLOBUS MEDICAL, INC.: revenue
- GLOBUS MEDICAL, INC.: financing cash flow
- GLOBUS MEDICAL, INC.: investing cash flow
- GLOBUS MEDICAL, INC.: retained earnings or deficit
- GLOBUS MEDICAL, INC.: basic weighted-average shares
- GLOBUS MEDICAL, INC.: basic earnings per share
- GLOBUS MEDICAL, INC.: diluted earnings per share
- GLOBUS MEDICAL, INC.: income tax expense or benefit
- GLOBUS MEDICAL, INC.: net property, plant and equipment
- GLOBUS MEDICAL, INC.: share-based compensation expense
- GLOBUS MEDICAL, INC.: operating income or loss
- GLOBUS MEDICAL, INC.: current assets
- GLOBUS MEDICAL, INC.: current liabilities
- GLOBUS MEDICAL, INC.: current accounts payable
- GLOBUS MEDICAL, INC.: goodwill carrying amount
- GLOBUS MEDICAL, INC.: net finite-lived intangible assets
- GLOBUS MEDICAL, INC.: net current accounts receivable
- GLOBUS MEDICAL, INC.: common-stock repurchase payments
- GLOBUS MEDICAL, INC.: operating expenses
- GLOBUS MEDICAL, INC.: net inventory
- GLOBUS MEDICAL, INC.: gross profit
- GLOBUS MEDICAL, INC.: selling, general and administrative expense
- GLOBUS MEDICAL, INC.: research and development expense
Inspect the source
- Entity
- GLOBUS MEDICAL, INC. / CIK 0001237831
- Captured
- 2026-09-20T07:46:44.169Z
- SEC response SHA-256
cff7c109d887fbd660b27f1dd981d7c3013b12694b6d35f1fc14981cb9525ce3
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/0001237831.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"])))