Willis Towers Watson (WTW) Property, Plant & Equipment (Net) (2009 - 2026)
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Analysis
Willis Towers Watson (WTW) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 806.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 761.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 765.00 Mn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 1.15 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 368.00 Mn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | 593.37 Mn |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 64.55 Mn |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | - |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | 33.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 1.19 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 710.00 Mn |
| Jun 30, 2024 | 709.00 Mn |
| Mar 31, 2024 | 703.00 Mn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 710.00 Mn |
| Jun 30, 2023 | 725.00 Mn |
| Mar 31, 2023 | 723.00 Mn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 701.00 Mn |
| Jun 30, 2022 | 744.00 Mn |
| Mar 31, 2022 | 817.00 Mn |
| Dec 31, 2021 | 1.57 Bn |
| Sep 30, 2021 | 881.00 Mn |
API Access
Willis Towers Watson Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();