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ADTRAN Holdings, Inc.: basic weighted-average shares

Basic weighted-average shares for ADTRAN Holdings, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ADTRAN Holdings, Inc. financial histories

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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 2026-09-20.

Selected filing history

Basic weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3179,742,000shares2026-02-2610-K · 0001193125-26-073878
2024-01-012024-12-3178,928,000shares2026-02-2610-K · 0001193125-26-073878
2023-01-012023-12-3178,416,000shares2026-02-2610-K · 0001193125-26-073878
2022-01-012022-12-3162,346,000shares2025-05-2010-K/A · 0000950170-25-075366
2021-01-012021-12-3148,582,000shares2024-03-1510-K · 0000950170-24-032089
2020-01-012020-12-3147,996,000shares2023-08-1410-K/A · 0000950170-23-042432
2019-01-012019-12-3147,836,000shares2022-02-2510-K · 0000950170-22-002054
2018-01-012018-12-3147,880,000shares2021-02-2610-K · 0001564590-21-009423
2017-01-012017-12-3148,153,000shares2020-02-2510-K · 0001564590-20-006425
2016-01-012016-12-3148,724,000shares2019-02-2810-K · 0001564590-19-005179
2015-01-012015-12-3151,145,000shares2018-02-2310-K · 0001564590-18-003019
2014-01-012014-12-3155,120,000shares2017-02-2410-K · 0001564590-17-002423
2013-01-012013-12-3159,001,000shares2016-02-2410-K · 0001193125-16-475816
2012-01-012012-12-3163,259,000shares2015-02-2410-K · 0001193125-15-059743
2011-01-012011-12-3164,145,000shares2014-02-2710-K · 0001193125-14-071988
2010-01-012010-12-3162,490,000shares2013-02-2810-K · 0001193125-13-082523
2009-01-012009-12-3162,459,000shares2012-02-2910-K · 0001193125-12-089158
2008-01-012008-12-3163,549,000shares2011-02-2510-K · 0000950123-11-018429

Related financial histories

Inspect the source

Entity
ADTRAN Holdings, Inc. / CIK 0000926282
Captured
2026-09-20T05:08:42.035Z
SEC response SHA-256
a974e795bb9be21839d6cf014d91b0c90c2270a853a02b77349a80fe6894221b

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/0000926282.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"])))