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MEDICAL PROPERTIES TRUST INC: basic weighted-average shares

Basic weighted-average shares for MEDICAL PROPERTIES TRUST INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MEDICAL PROPERTIES TRUST 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 2009-01-01 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
2025-01-012025-12-31600,892,000shares2026-02-2610-K · 0001193125-26-073587
2024-01-012024-12-31600,248,000shares2026-02-2610-K · 0001193125-26-073587
2023-01-012023-12-31598,518,000shares2026-02-2610-K · 0001193125-26-073587
2022-01-012022-12-31598,634,000shares2025-03-0310-K · 0000950170-25-030989
2021-01-012021-12-31588,817,000shares2024-02-2910-K · 0000950170-24-023248
2020-01-012020-12-31529,239,000shares2023-03-0110-K · 0000950170-23-005575
2019-01-012019-12-31427,075,000shares2022-03-0110-K · 0001564590-22-008100
2018-01-012018-12-31365,364,000shares2021-03-0110-K · 0001564590-21-009901
2017-01-012017-12-31349,902,000shares2020-02-2710-K · 0001564590-20-006950
2016-01-012016-12-31260,414,000shares2019-03-0110-K · 0001564590-19-005843
2015-01-012015-12-31217,997,000shares2018-03-0110-K · 0001193125-18-067584
2014-01-012014-12-31169,999,000shares2017-03-0110-K · 0001193125-17-065943
2013-01-012013-12-31151,439,000shares2016-02-2910-K · 0001193125-16-485612
2012-01-012012-12-31132,331,000shares2015-03-0210-K · 0001193125-15-073689
2011-01-012011-12-31110,623,000shares2014-03-0310-K · 0001193125-14-080657
2010-01-012010-12-31100,706,000shares2013-02-2210-K · 0001193125-13-071643
2009-01-012009-12-3178,117,000shares2012-02-2910-K · 0001193125-12-089355

Related financial histories

Inspect the source

Entity
MEDICAL PROPERTIES TRUST INC / CIK 0001287865
Captured
2026-09-20T07:49:35.885Z
SEC response SHA-256
8e34455fede8c04d46730cdab80520468ab81a79d0c06a80c6c0db0a3752af84

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/0001287865.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"])))