Willis Towers Watson (WTW) Shares Outstanding (Entity) (2009 - 2026)
Willis Towers Watson (WTW) posted Shares Outstanding (Entity) of 92.87 million for Q2 2026, down 4.8% from 97.55 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Willis Towers Watson's Shares Outstanding (Entity) came in at 94.55 million, down 5.2% from FY2024.
- Annual Shares Outstanding (Entity) has declined for five consecutive years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's Shares Outstanding (Entity) was 99.69 million in FY2024 (-2.7%), 102.48 million in FY2023 (-3.8%), 106.58 million in FY2022 (-9.5%) and 117.75 million in FY2021 (-8.7%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q4 2015.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last 20 quarters, with an average decline of 4.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Entity) ran from 2.5% in Q3 2024 to 14.8% in Q2 2022.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 94.45 million (Q1 2026), 94.55 million (Q4 2025) and 95.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 385.63 Mn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 581.37 Mn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 475.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 208.60 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 256.30 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 637.75 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 254.00 Mn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 212.13 Mn |
| 10 | Willis Towers Watson | 29.88 Bn | 21.29 Bn | - | 92.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.87 Mn |
| Mar 31, 2026 | 94.45 Mn |
| Dec 31, 2025 | 94.55 Mn |
| Sep 30, 2025 | 95.75 Mn |
| Jun 30, 2025 | 97.55 Mn |
| Mar 31, 2025 | 99.15 Mn |
| Dec 31, 2024 | 99.69 Mn |
| Sep 30, 2024 | 100.73 Mn |
| Jun 30, 2024 | 101.56 Mn |
| Mar 31, 2024 | 102.24 Mn |
| Dec 31, 2023 | 102.48 Mn |
| Sep 30, 2023 | 103.26 Mn |
| Jun 30, 2023 | 104.82 Mn |
| Mar 31, 2023 | 106.41 Mn |
| Dec 31, 2022 | 106.58 Mn |
| Sep 30, 2022 | 108.24 Mn |
| Jun 30, 2022 | 109.97 Mn |
| Mar 31, 2022 | 111.49 Mn |
| Dec 31, 2021 | 117.75 Mn |
| Sep 30, 2021 | 124.61 Mn |
API Access
Willis Towers Watson Shares Outstanding (Entity) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "WTW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();