Willis Towers Watson (WTW) Other Accumulated Expenses (2009 - 2026)
Willis Towers Watson (WTW) reported Other Accumulated Expenses of $767 million for Q2 2026, up 2.0% from $752 million a year earlier but down 15.3% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson posted Other Accumulated Expenses of $797 million, up 4.2% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $765 million in FY2024 (+12.8%), $678 million in FY2023 (-5.3%), $716 million in FY2022 (-29.5%) and $1.02 billion in FY2021 (+27.2%).
- Five-year quarterly Other Accumulated Expenses spans a low of $630 million in Q3 2023 and a high of $1.14 billion in Q1 2022.
- Year over year, Other Accumulated Expenses gained in six of the last eight quarters, with growth averaging 7.0%.
- The high point for year-over-year Other Accumulated Expenses in five years was Q2 2022 (growth of 29.0%); the low point was Q2 2023 (a decline of 32.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $906 million (Q1 2026), $797 million (Q4 2025) and $735 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn |
| 10 | Willis Towers Watson | 30.18 Bn | 21.67 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 767.00 Mn |
| Mar 31, 2026 | 906.00 Mn |
| Dec 31, 2025 | 797.00 Mn |
| Sep 30, 2025 | 735.00 Mn |
| Jun 30, 2025 | 752.00 Mn |
| Mar 31, 2025 | 923.00 Mn |
| Dec 31, 2024 | 765.00 Mn |
| Sep 30, 2024 | 735.00 Mn |
| Jun 30, 2024 | 740.00 Mn |
| Mar 31, 2024 | 767.00 Mn |
| Dec 31, 2023 | 678.00 Mn |
| Sep 30, 2023 | 630.00 Mn |
| Jun 30, 2023 | 652.00 Mn |
| Mar 31, 2023 | 814.00 Mn |
| Dec 31, 2022 | 716.00 Mn |
| Sep 30, 2022 | 851.00 Mn |
| Jun 30, 2022 | 969.00 Mn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 1.02 Bn |
| Sep 30, 2021 | 950.00 Mn |
API Access
Willis Towers Watson Other 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=other-accumulated-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();