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DIODES INC /DEL/: diluted weighted-average shares

Diluted weighted-average shares for DIODES INC /DEL/. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DIODES INC /DEL/ 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 2008-01-01 to 2025-12-31. 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
2025-01-012025-12-3146,414,000shares2026-02-1010-K · 0001193125-26-044918
2024-01-012024-12-3146,408,000shares2026-02-1010-K · 0001193125-26-044918
2023-01-012023-12-3146,311,000shares2026-02-1010-K · 0001193125-26-044918
2022-01-012022-12-3146,036,000shares2025-02-1410-K · 0000950170-25-021400
2021-01-012021-12-3145,781,000shares2024-02-0910-K · 0000950170-24-013363
2020-01-012020-12-3152,133,000shares2023-02-1010-K · 0000950170-23-002499
2019-01-012019-12-3151,860,000shares2022-02-1810-K · 0000950170-22-001438
2018-01-012018-12-3150,935,000shares2021-02-2210-K · 0001564590-21-007008
2017-01-012017-12-3148,824,000shares2020-02-1210-K · 0001564590-20-004248
2016-01-012016-12-3149,789,000shares2019-02-2110-K · 0001564590-19-003715
2015-01-012015-12-3149,500,000shares2018-02-2010-K · 0001564590-18-002396
2014-01-012014-12-3148,594,000shares2017-02-2710-K · 0001564590-17-002599
2013-01-012013-12-3147,658,000shares2016-03-1110-K · 0001564590-16-014609
2012-01-012012-12-3146,899,000shares2015-03-0210-K · 0001564590-15-001204
2011-01-012011-12-3146,713,000shares2014-02-2710-K · 0001193125-14-073365
2010-01-012010-12-3145,546,000shares2013-02-2710-K · 0001193125-13-080181
2009-01-012009-12-3143,449,000shares2012-02-2810-K · 0001193125-12-084918
2008-01-012008-12-3142,638,000shares2011-02-2810-K · 0000950123-11-019939

Related financial histories

Inspect the source

Entity
DIODES INC /DEL/ / CIK 0000029002
Captured
2026-09-19T14:45:57.784Z
SEC response SHA-256
bde17f3a1fcc3acb162f5e48be635566dd2dd7a6ba60cb905a326a8c049ab653

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/0000029002.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"])))