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TRIPADVISOR, INC.: basic weighted-average shares

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

All TRIPADVISOR, 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
2025-01-012025-12-31124,517,000shares2026-02-1310-K · 0001193125-26-051281
2024-01-012024-12-31139,079,000shares2026-02-1310-K · 0001193125-26-051281
2023-01-012023-12-31139,412,000shares2026-02-1310-K · 0001193125-26-051281
2022-01-012022-12-31139,923,000shares2025-02-2010-K · 0000950170-25-023736
2021-01-012021-12-31137,234,000shares2024-02-1610-K · 0000950170-24-016553
2020-01-012020-12-31134,858,000shares2023-02-1710-K · 0000950170-23-003200
2019-01-012019-12-31138,975,000shares2022-02-1810-K · 0000950170-22-001481
2018-01-012018-12-31138,116,000shares2021-02-1910-K · 0001564590-21-006939
2017-01-012017-12-31140,445,000shares2020-02-1910-K · 0001564590-20-005269
2016-01-012016-12-31145,443,000shares2019-02-2210-K · 0001564590-19-003889
2015-01-012015-12-31143,836,000shares2018-02-2110-K · 0001564590-18-002664
2014-01-012014-12-31142,721,000shares2017-02-1710-K · 0001564590-17-001783
2013-01-012013-12-31142,854,000shares2016-02-1810-K · 0001564590-16-012862
2012-01-012012-12-31139,462,000shares2015-02-1710-K · 0001564590-15-000721
2011-01-012011-12-31133,461,000shares2014-02-1110-K · 0001193125-14-045532
2010-01-012010-12-31133,461,000shares2013-02-1510-K · 0001193125-13-062886
2009-01-012009-12-31133,461,000shares2012-03-1510-K · 0001193125-12-117448

Related financial histories

Inspect the source

Entity
TRIPADVISOR, INC. / CIK 0001526520
Captured
2026-09-20T09:15:14.851Z
SEC response SHA-256
d0d69f5deca94910af3b449542706168e6d808903a5855603abb5bb7a3a124bf

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/0001526520.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"])))