Willis Towers Watson (WTW) Treasury Shares (2009 - 2024)
Willis Towers Watson's (WTW) quarterly Treasury Shares came in at $5.0 million in Q3 2024, up 66.67% quarter-over-quarter from $3.0 million in Q4 2022.
Willis Towers Watson (WTW) Treasury Shares (2009 - 2024) Analysis & Trends
Willis Towers Watson (WTW) has reported Treasury Shares for 15 consecutive years, with $5.0 million the latest figure, recorded in Q3 2024.
- For the quarter ending Q3 2024, Treasury Shares changed N/A year-over-year to $5.0 million; the trailing twelve-month figure through Sep 2024 stood at $5.0 million (changed N/A YoY), and the FY2022 full-year result was $3.0 million, changed 0.0% from the prior year.
- Treasury Shares advanced to $5.0 million in Q3 2024 per WTW's latest filing, from $3.0 million in the prior quarter.
- Across five years, Treasury Shares topped out at $128391.0 in Q2 2022 and bottomed at $15574.0 in Q3 2024.
- Historically, Treasury Shares has averaged $29465.2 across 4 years, with a median of $17519.0 in 2020.
- The widest YoY moves for Treasury Shares: up 0.0% in 2020, down 0.0% in 2020.
- Over 4 years, Treasury Shares stood at $3.0 million in 2020, then changed by 0.0% to $3.0 million in 2021, then changed by 0.0% to $3.0 million in 2022, then surged by 66.67% to $5.0 million in 2024.
- According to Business Quant data, Treasury Shares over the past three periods registered $5.0 million, $3.0 million, and $3.0 million for Q3 2024, Q4 2022, and Q3 2022 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 82.72 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | - |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 29.00 Mn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | 22.11 Mn |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | 8.48 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 15,574.00 |
| Sep 30, 2024 | 5.00 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Sep 30, 2024 | 15,574.00 |
| Dec 31, 2022 | 17,519.00 |
| Dec 31, 2022 | 3.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Dec 31, 2022 | 17,519.00 |
| Sep 30, 2022 | 17,519.00 |
| Sep 30, 2022 | 3.00 Mn |
| Sep 30, 2022 | 17,519.00 |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 128,391.00 |
| Jun 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 128,391.00 |
| Mar 31, 2022 | 3.00 Mn |
| Mar 31, 2022 | 17,519.00 |
| Mar 31, 2022 | 17,519.00 |
| Mar 31, 2022 | 3.00 Mn |
Willis Towers Watson Treasury Shares 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=treasury-shares&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();