THERMO FISHER SCIENTIFIC INC.: diluted weighted-average shares
Diluted weighted-average shares for THERMO FISHER SCIENTIFIC INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All THERMO FISHER SCIENTIFIC 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 378,000,000 | shares | 2026-02-26 | 10-K · 0000097745-26-000018 |
| 2024-01-01 | 2024-12-31 | 383,000,000 | shares | 2026-02-26 | 10-K · 0000097745-26-000018 |
| 2023-01-01 | 2023-12-31 | 388,000,000 | shares | 2026-02-26 | 10-K · 0000097745-26-000018 |
| 2022-01-01 | 2022-12-31 | 394,000,000 | shares | 2025-02-20 | 10-K · 0000097745-25-000010 |
| 2021-01-01 | 2021-12-31 | 397,000,000 | shares | 2024-02-22 | 10-K · 0000097745-24-000007 |
| 2020-01-01 | 2020-12-31 | 399,000,000 | shares | 2023-02-23 | 10-K · 0000097745-23-000008 |
| 2019-01-01 | 2019-12-31 | 403,000,000 | shares | 2022-02-24 | 10-K · 0000097745-22-000011 |
| 2018-01-01 | 2018-12-31 | 406,000,000 | shares | 2021-02-25 | 10-K · 0000097745-21-000011 |
| 2017-01-01 | 2017-12-31 | 398,000,000 | shares | 2020-02-26 | 10-K · 0000097745-20-000009 |
| 2016-01-01 | 2016-12-31 | 397,000,000 | shares | 2019-02-27 | 10-K · 0000097745-19-000007 |
| 2015-01-01 | 2015-12-31 | 402,000,000 | shares | 2018-02-28 | 10-K · 0000097745-18-000006 |
| 2014-01-01 | 2014-12-31 | 402,300,000 | shares | 2017-02-28 | 10-K · 0000097745-17-000007 |
| 2013-01-01 | 2013-12-31 | 365,800,000 | shares | 2016-02-25 | 10-K · 0000097745-16-000043 |
| 2012-01-01 | 2012-12-31 | 366,600,000 | shares | 2015-02-26 | 10-K · 0000097745-15-000007 |
| 2011-01-01 | 2011-12-31 | 384,800,000 | shares | 2014-02-27 | 10-K · 0000097745-14-000014 |
| 2010-01-01 | 2010-12-31 | 409,400,000 | shares | 2013-02-27 | 10-K · 0000097745-13-000007 |
| 2009-01-01 | 2009-12-31 | 422,800,000 | shares | 2012-02-29 | 10-K · 0000097745-12-000010 |
| 2008-01-01 | 2008-12-31 | 434,700,000 | shares | 2011-02-24 | 10-K · 0000097745-11-000013 |
| 2007-01-01 | 2007-12-31 | 443,600,000 | shares | 2010-02-26 | 10-K · 0000097745-10-000008 |
Related financial histories
- THERMO FISHER SCIENTIFIC INC.: total assets
- THERMO FISHER SCIENTIFIC INC.: stockholders equity
- THERMO FISHER SCIENTIFIC INC.: cash and cash equivalents
- THERMO FISHER SCIENTIFIC INC.: net income or loss
- THERMO FISHER SCIENTIFIC INC.: operating cash flow
- THERMO FISHER SCIENTIFIC INC.: capital expenditure payments
- THERMO FISHER SCIENTIFIC INC.: revenue
- THERMO FISHER SCIENTIFIC INC.: contract revenue excluding tax
- THERMO FISHER SCIENTIFIC INC.: financing cash flow
- THERMO FISHER SCIENTIFIC INC.: investing cash flow
- THERMO FISHER SCIENTIFIC INC.: retained earnings or deficit
- THERMO FISHER SCIENTIFIC INC.: basic weighted-average shares
- THERMO FISHER SCIENTIFIC INC.: basic earnings per share
- THERMO FISHER SCIENTIFIC INC.: diluted earnings per share
- THERMO FISHER SCIENTIFIC INC.: income tax expense or benefit
- THERMO FISHER SCIENTIFIC INC.: net property, plant and equipment
- THERMO FISHER SCIENTIFIC INC.: share-based compensation expense
- THERMO FISHER SCIENTIFIC INC.: operating income or loss
- THERMO FISHER SCIENTIFIC INC.: current assets
- THERMO FISHER SCIENTIFIC INC.: interest expense
- THERMO FISHER SCIENTIFIC INC.: current liabilities
- THERMO FISHER SCIENTIFIC INC.: current accounts payable
- THERMO FISHER SCIENTIFIC INC.: goodwill carrying amount
- THERMO FISHER SCIENTIFIC INC.: net finite-lived intangible assets
- THERMO FISHER SCIENTIFIC INC.: net current accounts receivable
- THERMO FISHER SCIENTIFIC INC.: common-stock repurchase payments
- THERMO FISHER SCIENTIFIC INC.: net inventory
- THERMO FISHER SCIENTIFIC INC.: selling, general and administrative expense
- THERMO FISHER SCIENTIFIC INC.: research and development expense
Inspect the source
- Entity
- THERMO FISHER SCIENTIFIC INC. / CIK 0000097745
- Captured
- 2026-09-19T14:53:24.767Z
- SEC response SHA-256
4d98ebd4c91521f5d90f032834b8dec04f78b30758a214be33e6cbba68fa766a
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000097745.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"])))