Gaming and Leisure Properties, Inc.: basic weighted-average shares

Name: Gaming and Leisure Properties, Inc.: basic weighted-average shares
Creator: Gaming and Leisure Properties, Inc.

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

All Gaming and Leisure Properties, 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 2011-01-01 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 start	Period end	Value	Unit	Filed	Source filing
2025-01-01	2025-12-31	279,605,000	shares	2026-02-19	10-K · 0001575965-26-000032
2024-01-01	2024-12-31	272,802,000	shares	2026-02-19	10-K · 0001575965-26-000032
2023-01-01	2023-12-31	264,053,000	shares	2026-02-19	10-K · 0001575965-26-000032
2022-01-01	2022-12-31	252,716,000	shares	2025-02-20	10-K · 0001575965-25-000008
2021-01-01	2021-12-31	235,472,000	shares	2024-02-27	10-K · 0001575965-24-000005
2020-01-01	2020-12-31	218,817,000	shares	2023-02-23	10-K · 0001575965-23-000007
2019-01-01	2019-12-31	214,667,000	shares	2022-02-24	10-K · 0001575965-22-000005
2018-01-01	2018-12-31	213,720,000	shares	2021-02-19	10-K · 0001575965-21-000008
2017-01-01	2017-12-31	210,705,000	shares	2020-02-21	10-K · 0001575965-20-000012
2016-01-01	2016-12-31	178,594,000	shares	2019-02-13	10-K · 0001575965-19-000005
2015-01-01	2015-12-31	114,432,000	shares	2018-02-16	10-K · 0001575965-18-000004
2014-01-01	2014-12-31	112,037,000	shares	2017-02-22	10-K · 0001575965-17-000006
2013-01-01	2013-12-31	110,617,000	shares	2016-02-22	10-K · 0001575965-16-000091
2012-01-01	2012-12-31	110,582,000	shares	2015-11-09	10-K/A · 0001575965-15-000068
2011-01-01	2011-12-31	110,582,000	shares	2014-03-25	10-K · 0001047469-14-002922

Related financial histories

Inspect the source

Entity: Gaming and Leisure Properties, Inc. / CIK 0001575965
Captured: 2026-09-20T09:21:51.874Z
SEC response SHA-256: f89f6ef82a70702e37036b6ff8588fdbe0d6982be23232c7f8bd3e71ef2bbde5

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/0001575965.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"])))