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WYNN RESORTS, LIMITED: basic earnings per share

Basic earnings per share for WYNN RESORTS, LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All WYNN RESORTS, LIMITED financial histories

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-313.16USD/shares2026-03-0210-K · 0001174922-26-000013
2024-01-012024-12-314.56USD/shares2026-03-0210-K · 0001174922-26-000013
2023-01-012023-12-316.49USD/shares2026-03-0210-K · 0001174922-26-000013
2022-01-012022-12-31-3.73USD/shares2025-02-1310-K · 0001174922-25-000039
2021-01-012021-12-31-6.64USD/shares2024-02-2310-K · 0001174922-24-000046
2020-01-012020-12-31-19.37USD/shares2023-02-2710-K · 0001174922-23-000048
2019-01-012019-12-311.15USD/shares2022-02-2810-K · 0001174922-22-000031
2018-01-012018-12-315.37USD/shares2021-02-2610-K · 0001174922-21-000029
2017-01-012017-12-317.32USD/shares2020-02-2810-K · 0001174922-20-000024
2016-01-012016-12-312.39USD/shares2019-02-2810-K · 0001174922-19-000021
2015-01-012015-12-311.93USD/shares2018-02-2810-K · 0001174922-18-000019
2014-01-012014-12-317.25USD/shares2017-02-2410-K · 0001174922-17-000027
2013-01-012013-12-317.25USD/shares2016-02-2910-K · 0001174922-16-000144
2012-01-012012-12-314.87USD/shares2015-03-0210-K · 0001174922-15-000021
2011-01-012011-12-314.94USD/shares2014-02-2810-K · 0001193125-14-077632
2010-01-012010-12-311.3USD/shares2013-03-0110-K · 0001193125-13-087674
2009-01-012009-12-310.17USD/shares2012-02-2910-K · 0001193125-12-089377
2008-01-012008-12-311.94USD/shares2011-03-0110-K · 0001193125-11-050547

Related financial histories

Inspect the source

Entity
WYNN RESORTS, LIMITED / CIK 0001174922
Captured
2026-09-20T07:44:41.243Z
SEC response SHA-256
b7a92484f985e9cf0a17139221148ecb3d48c14c1c2c07d6b919b3951e496786

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/0001174922.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"])))