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WILLIS TOWERS WATSON PLC: revenue

Revenue for WILLIS TOWERS WATSON PLC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All WILLIS TOWERS WATSON PLC financial histories

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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

Revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-319,708,000,000USD2026-02-2510-K · 0001193125-26-069307
2024-01-012024-12-319,930,000,000USD2026-02-2510-K · 0001193125-26-069307
2023-01-012023-12-319,483,000,000USD2026-02-2510-K · 0001193125-26-069307
2022-01-012022-12-318,866,000,000USD2025-02-2510-K · 0000950170-25-026278
2021-01-012021-12-318,998,000,000USD2024-02-2210-K · 0000950170-24-018575
2020-01-012020-12-318,615,000,000USD2023-02-2410-K · 0000950170-23-004303
2019-01-012019-12-318,370,000,000USD2022-02-2410-K · 0000950170-22-001932
2018-01-012018-12-318,513,000,000USD2021-02-2310-K · 0001564590-21-007578
2017-01-012017-12-318,202,000,000USD2020-02-2610-K · 0001564590-20-006736
2016-01-012016-12-317,887,000,000USD2019-02-2710-K · 0001564590-19-004912
2015-01-012015-12-313,829,000,000USD2016-02-2910-K · 0001140536-16-000035
2014-01-012014-12-313,802,000,000USD2016-02-2910-K · 0001140536-16-000035
2013-01-012013-12-313,655,000,000USD2016-02-2910-K · 0001140536-16-000035
2012-01-012012-12-313,480,000,000USD2015-02-2410-K · 0001140536-15-000003
2011-01-012011-12-313,447,000,000USD2014-02-2710-K · 0001140536-14-000004
2010-12-312011-12-313,447,000,000USD2012-02-2910-K · 0000950123-12-004309
2010-01-012010-12-313,332,000,000USD2013-02-2810-K · 0001445305-13-000389
2009-12-312010-12-313,332,000,000USD2012-02-2910-K · 0000950123-12-004309
2009-01-012009-12-313,263,000,000USD2011-02-2810-K · 0000950123-11-019018
2008-12-312009-12-313,253,000,000USD2012-02-2910-K · 0000950123-12-004309
2008-01-012008-12-312,827,000,000USD2011-02-2810-K · 0000950123-11-019018

Related financial histories

Inspect the source

Entity
WILLIS TOWERS WATSON PLC / CIK 0001140536
Captured
2026-09-20T07:41:55.265Z
SEC response SHA-256
1337637dcebc1a43a7fcbeb581c679ec4c8b43897fcfb21707ebc7b80096ba8b

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/0001140536.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"])))