Willis Towers Watson (WTW) Change in Accured Expenses (2009 - 2026)
Willis Towers Watson's (WTW) quarterly Change in Accured Expenses came in at $42.0 million in Q2 2026, up 148.28% on a YoY basis from $16.9 million in Q2 2025, and up 108.12% quarter-over-quarter from -$517.0 million in Q1 2026.
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Analysis
Willis Towers Watson (WTW) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Willis Towers Watson (WTW) has reported Change in Accured Expenses for 18 consecutive years, with $42.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Change in Accured Expenses rose 148.28% year-over-year to $42.0 million; the trailing twelve-month figure through Jun 2026 stood at -$155.0 million (up 34.04% YoY), and the FY2025 full-year result was -$458.0 million, down 252.16% from the prior year.
- Change in Accured Expenses rose to $42.0 million in Q2 2026 per WTW's latest filing, from -$517.0 million in the prior quarter.
- Across five years, Change in Accured Expenses topped out at $460.0 million in Q4 2024 and bottomed at -$691.0 million in Q1 2025.
- Historically, Change in Accured Expenses has averaged -$61.7 million across 5 years, with a median of $52.5 million in 2022.
- The sharpest annual moves came in 2022 and 2023: Change in Accured Expenses sank 330.0% in 2022, then soared 1280.0% in 2023.
- Over 5 years, Change in Accured Expenses stood at $15.0 million in 2022, then jumped by 1280.0% to $207.0 million in 2023, then surged by 122.22% to $460.0 million in 2024, then tumbled by 49.78% to $231.0 million in 2025, then plunged by 81.82% to $42.0 million in 2026.
- According to Business Quant data, Change in Accured Expenses over the past three periods registered $42.0 million, -$517.0 million, and $231.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 685.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 51.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 535.00 Mn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 42.00 Mn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | -10.00 Mn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 173.10 Mn |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | - |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | -6.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.00 Mn |
| Mar 31, 2026 | -517.00 Mn |
| Dec 31, 2025 | 231.00 Mn |
| Sep 30, 2025 | 89.00 Mn |
| Jun 30, 2025 | -87.00 Mn |
| Mar 31, 2025 | -691.00 Mn |
| Dec 31, 2024 | 460.00 Mn |
| Sep 30, 2024 | 83.00 Mn |
| Jun 30, 2024 | 184.00 Mn |
| Mar 31, 2024 | -426.00 Mn |
| Dec 31, 2023 | 207.00 Mn |
| Sep 30, 2023 | 155.00 Mn |
| Jun 30, 2023 | 65.00 Mn |
| Mar 31, 2023 | -411.00 Mn |
| Dec 31, 2022 | 15.00 Mn |
| Sep 30, 2022 | 63.00 Mn |
| Jun 30, 2022 | -115.00 Mn |
| Mar 31, 2022 | -458.00 Mn |
| Dec 31, 2021 | 24.00 Mn |
| Sep 30, 2021 | 307.00 Mn |
API Access
Willis Towers Watson Change in Accured 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=change-in-accured-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();