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CABOT CORP: basic weighted-average shares

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

All CABOT CORP 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 2007-10-01 to 2025-09-30. The SEC response was captured on 2026-09-19.

Selected filing history

Basic weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-10-012025-09-3053,700,000shares2025-11-2410-K · 0001193125-25-292412
2023-10-012024-09-3055,100,000shares2025-11-2410-K · 0001193125-25-292412
2022-10-012023-09-3056,100,000shares2025-11-2410-K · 0001193125-25-292412
2021-10-012022-09-3056,500,000shares2024-11-2010-K · 0000950170-24-129210
2020-10-012021-09-3056,700,000shares2023-11-2210-K · 0000950170-23-065844
2019-10-012020-09-3056,600,000shares2022-11-2310-K · 0001564590-22-038228
2018-10-012019-09-3058,700,000shares2021-11-2910-K · 0001564590-21-058692
2017-10-012018-09-3061,700,000shares2020-11-2510-K · 0001564590-20-055198
2016-10-012017-09-3062,300,000shares2019-11-2210-K · 0001564590-19-044207
2015-10-012016-09-3062,400,000shares2018-11-2110-K · 0001564590-18-029997
2014-10-012015-09-3063,400,000shares2017-11-2210-K · 0001564590-17-024203
2013-10-012014-09-3064,400,000shares2016-11-2310-K · 0001564590-16-029604
2012-10-012013-09-3063,800,000shares2015-11-2510-K · 0001564590-15-011128
2011-10-012012-09-3063,400,000shares2014-11-2610-K · 0001193125-14-426922
2010-10-012011-09-3064,600,000shares2013-11-2710-K · 0001193125-13-456387
2009-10-012010-09-3063,800,000shares2012-11-2910-K · 0001193125-12-485653
2008-10-012009-09-3062,800,000shares2011-11-2910-K · 0001193125-11-324512
2007-10-012008-09-3063,000,000shares2010-11-2910-K · 0001193125-10-270199

Related financial histories

Inspect the source

Entity
CABOT CORP / CIK 0000016040
Captured
2026-09-19T14:44:31.172Z
SEC response SHA-256
d84db7d5005a0fd951c693292890f342fcf161a8d9c6d6c9869243fcd5830252

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/0000016040.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"])))