Willis Towers Watson (WTW) Accumulated Expenses (2009 - 2026)
Willis Towers Watson's Accumulated Expenses came in at $1.77 billion for Q2 2026, up 2.3% from $1.73 billion a year earlier and up 14.5% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson's Accumulated Expenses was $2.09 billion, down 5.6% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $2.21 billion in FY2024 (+5.1%), $2.1 billion in FY2023 (+9.9%), $1.92 billion in FY2022 (-0.6%) and $1.93 billion in FY2021 (-8.2%).
- The five-year range for quarterly Accumulated Expenses is $1.4 billion (Q1 2022) to $2.21 billion (Q4 2024).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 1.5%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2023 (growth of 13.9%), and the weakest in Q2 2022 (a decline of 13.9%).
- Business Quant data shows WTW's Accumulated Expenses at $1.54 billion (Q1 2026), $2.09 billion (Q4 2025) and $1.87 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Willis Towers Watson | 26.77 Bn | 18.26 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.54 Bn |
| Dec 31, 2025 | 2.09 Bn |
| Sep 30, 2025 | 1.87 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.50 Bn |
| Dec 31, 2024 | 2.21 Bn |
| Sep 30, 2024 | 2.03 Bn |
| Jun 30, 2024 | 1.89 Bn |
| Mar 31, 2024 | 1.64 Bn |
| Dec 31, 2023 | 2.10 Bn |
| Sep 30, 2023 | 1.87 Bn |
| Jun 30, 2023 | 1.69 Bn |
| Mar 31, 2023 | 1.49 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.64 Bn |
| Jun 30, 2022 | 1.53 Bn |
| Mar 31, 2022 | 1.40 Bn |
| Dec 31, 2021 | 1.93 Bn |
| Sep 30, 2021 | 1.83 Bn |
API Access
Willis Towers Watson Accumulated Expenses 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=accumulated-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();