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CAMDEN PROPERTY TRUST: diluted weighted-average shares

Diluted weighted-average shares for CAMDEN PROPERTY TRUST. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CAMDEN PROPERTY TRUST 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 2026-09-20.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31108,434,000shares2026-02-1210-K · 0001628280-26-007697
2024-01-012024-12-31108,539,000shares2026-02-1210-K · 0001628280-26-007697
2023-01-012023-12-31109,399,000shares2026-02-1210-K · 0001628280-26-007697
2022-01-012022-12-31108,388,000shares2025-02-2010-K · 0000906345-25-000008
2021-01-012021-12-31102,829,000shares2024-02-2210-K · 0000906345-24-000007
2020-01-012020-12-3199,438,000shares2023-02-2310-K · 0000906345-23-000008
2019-01-012019-12-3199,384,000shares2022-02-1710-K · 0000906345-22-000009
2018-01-012018-12-3195,366,000shares2021-02-1810-K · 0000906345-21-000010
2017-01-012017-12-3192,515,000shares2020-02-2010-K · 0000906345-20-000008
2016-01-012016-12-3189,903,000shares2019-02-1510-K · 0000906345-19-000006
2015-01-012015-12-3189,490,000shares2018-02-1610-K · 0000906345-18-000007
2014-01-012014-12-3188,468,000shares2017-02-1310-K · 0000906345-17-000009
2013-01-012013-12-3188,494,000shares2016-02-1910-K · 0000906345-16-000044
2012-01-012012-12-3185,556,000shares2015-02-2010-K · 0000906345-15-000007
2011-01-012011-12-3173,462,000shares2014-02-2110-K · 0000906345-14-000005
2010-01-012010-12-3168,608,000shares2013-02-1510-K · 0000906345-13-000003
2009-01-012009-12-3162,359,000shares2012-02-1710-K · 0001193125-12-067347
2008-01-012008-12-3155,272,000shares2011-02-2410-K · 0000950123-11-017763

Related financial histories

Inspect the source

Entity
CAMDEN PROPERTY TRUST / CIK 0000906345
Captured
2026-09-20T05:05:32.725Z
SEC response SHA-256
12b3949a8b31f87519a7d77dd27a1f4e90eb9312933e2f9e5f5eb68ffc5ad974

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/0000906345.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"])))