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Sensata Technologies Holding plc: diluted earnings per share

Diluted earnings per share for Sensata Technologies Holding plc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Sensata Technologies Holding plc financial histories

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-310.21USD/shares2026-02-2710-K · 0001477294-26-000007
2024-01-012024-12-310.85USD/shares2026-02-2710-K · 0001477294-26-000007
2023-01-012023-12-31-0.03USD/shares2026-02-2710-K · 0001477294-26-000007
2022-01-012022-12-311.99USD/shares2025-02-2810-K · 0001477294-25-000022
2021-01-012021-12-312.28USD/shares2024-02-2910-K · 0001477294-24-000020
2020-01-012020-12-311.04USD/shares2023-02-1310-K · 0001477294-23-000010
2019-01-012019-12-311.75USD/shares2022-02-1010-K · 0001477294-22-000014
2018-01-012018-12-313.53USD/shares2021-02-1210-K · 0001477294-21-000031
2017-01-012017-12-312.37USD/shares2020-02-1110-K · 0001477294-20-000009
2016-01-012016-12-311.53USD/shares2019-02-0610-K · 0001477294-19-000011
2015-01-012015-12-312.03USD/shares2018-02-0110-K · 0001477294-18-000023
2014-01-012014-12-311.65USD/shares2017-02-0210-K · 0001477294-17-000010
2013-01-012013-12-311.05USD/shares2016-02-0210-K · 0001477294-16-000154
2012-01-012012-12-310.98USD/shares2015-02-0310-K · 0001477294-15-000019
2011-01-012011-12-310.04USD/shares2014-02-0610-K · 0001477294-14-000010
2010-01-012010-12-310.75USD/shares2013-02-0810-K · 0001477294-13-000012
2009-01-012009-12-31-0.19USD/shares2012-02-1010-K · 0001445305-12-000259

Related financial histories

Inspect the source

Entity
Sensata Technologies Holding plc / CIK 0001477294
Captured
2026-09-20T09:08:24.843Z
SEC response SHA-256
a6020ece16caf3696198681ff6897770e48bea6467c0bb6c420804b93e220f9c

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/0001477294.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"])))