Willis Towers Watson (WTW) Property, Plant & Equipment (Net) (2009 - 2026)
Willis Towers Watson (WTW) recorded Property, Plant & Equipment (Net) of $675 million in Q2 2026, down 3.0% from $696 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson reported Property, Plant & Equipment (Net) of $695 million, up 5.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $661 million in FY2024 (-8.2%), $720 million in FY2023 (+0.3%), $718 million in FY2022 (-15.6%) and $851 million in FY2021 (-16.0%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $661 million in Q4 2024 to $881 million in Q3 2021 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in two of the last eight quarters, with an average decline of 2.0%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 5.1% in Q4 2025, against a decline of 20.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $671 million (Q1 2026), $695 million (Q4 2025) and $686 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 411.04 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 922.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 806.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 765.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 761.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 675.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 675.00 Mn |
| Mar 31, 2026 | 671.00 Mn |
| Dec 31, 2025 | 695.00 Mn |
| Sep 30, 2025 | 686.00 Mn |
| Jun 30, 2025 | 696.00 Mn |
| Mar 31, 2025 | 667.00 Mn |
| Dec 31, 2024 | 661.00 Mn |
| Sep 30, 2024 | 710.00 Mn |
| Jun 30, 2024 | 709.00 Mn |
| Mar 31, 2024 | 703.00 Mn |
| Dec 31, 2023 | 720.00 Mn |
| Sep 30, 2023 | 710.00 Mn |
| Jun 30, 2023 | 725.00 Mn |
| Mar 31, 2023 | 723.00 Mn |
| Dec 31, 2022 | 718.00 Mn |
| Sep 30, 2022 | 701.00 Mn |
| Jun 30, 2022 | 744.00 Mn |
| Mar 31, 2022 | 817.00 Mn |
| Dec 31, 2021 | 851.00 Mn |
| 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();