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The TJX Companies, Inc.: diluted weighted-average shares

Diluted weighted-average shares for The TJX Companies, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All The TJX Companies, 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 2007-01-28 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-02-022026-01-311,128,000,000shares2026-03-3110-K · 0000109198-26-000008
2024-02-042025-02-011,142,000,000shares2026-03-3110-K · 0000109198-26-000008
2023-01-292024-02-031,159,000,000shares2026-03-3110-K · 0000109198-26-000008
2022-01-302023-01-281,178,000,000shares2025-04-0210-K · 0000109198-25-000010
2021-01-312022-01-291,216,000,000shares2024-04-0310-K · 0000109198-24-000014
2020-02-022021-01-301,215,000,000shares2023-03-2910-K · 0000109198-23-000004
2019-02-032020-02-011,226,519,000shares2022-03-3010-K · 0000109198-22-000008
2018-02-042019-02-021,259,252,000shares2021-03-3110-K · 0000109198-21-000006
2017-01-292018-02-031,292,209,000shares2020-03-2710-K · 0000109198-20-000004
2016-01-312017-01-281,328,864,000shares2019-04-0310-K · 0001628280-19-003834
2015-02-012016-01-30683,251,000shares2018-04-0410-K · 0001193125-18-107423
2014-02-022015-01-31703,545,000shares2017-03-2810-K · 0001193125-17-099642
2013-02-032014-02-01726,376,000shares2016-03-2910-K · 0001193125-16-521424
2012-01-292013-02-02747,555,000shares2015-03-3110-K · 0001193125-15-114276
2011-01-302012-01-28773,772,000shares2014-04-0110-K · 0001193125-14-125980
2010-01-312011-01-29812,826,000shares2013-04-0210-K · 0001193125-13-138497
2009-02-012010-01-30855,239,000shares2012-03-2710-K · 0001193125-12-134536
2008-01-272009-01-31442,255,000shares2011-03-3010-K · 0000950123-11-030274
2007-01-282008-01-26468,046,000shares2010-03-3010-K · 0000950123-10-029845

Related financial histories

Inspect the source

Entity
The TJX Companies, Inc. / CIK 0000109198
Captured
2026-09-19T14:55:02.983Z
SEC response SHA-256
1b8f7be3fed954f682ae56ebe9c56a245f4df3640b92181a2d44d6e086a4905b

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000109198.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"])))