Willis Towers Watson (WTW) Prepaid Assets (2009 - 2026)
Willis Towers Watson's (WTW) quarterly Prepaid Assets came in at $669.0 million in Q2 2026, up 19.89% on a YoY basis from $558.0 million in Q2 2025, and up 11.31% quarter-over-quarter from $601.0 million in Q1 2026.
Willis Towers Watson (WTW) Prepaid Assets (2009 - 2026) Analysis & Trends
Willis Towers Watson (WTW) has reported Prepaid Assets for 18 consecutive years, with $669.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Prepaid Assets rose 19.89% year-over-year to $669.0 million; the trailing twelve-month figure through Jun 2026 stood at $669.0 million (up 19.89% YoY), and the FY2025 full-year result was $595.0 million, down 51.11% from the prior year.
- Prepaid Assets climbed to $669.0 million in Q2 2026 per WTW's latest filing, from $601.0 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $1.3 billion in Q1 2025 and bottomed at $337.0 million in Q1 2023.
- Historically, Prepaid Assets has averaged $564.3 million across 5 years, with a median of $472.5 million in 2022.
- The sharpest annual moves came in 2025 and 2026: Prepaid Assets jumped 241.69% in 2025, then tumbled 53.59% in 2026.
- Over 5 years, Prepaid Assets stood at $414.0 million in 2022, then fell by 12.08% to $364.0 million in 2023, then soared by 234.34% to $1.2 billion in 2024, then tumbled by 51.11% to $595.0 million in 2025, then gained by 12.44% to $669.0 million in 2026.
- According to Business Quant data, Prepaid Assets over the past three periods registered $669.0 million, $601.0 million, and $595.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn |
| 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 | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 669.00 Mn |
| Mar 31, 2026 | 601.00 Mn |
| Dec 31, 2025 | 595.00 Mn |
| Sep 30, 2025 | 570.00 Mn |
| Jun 30, 2025 | 558.00 Mn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.22 Bn |
| Sep 30, 2024 | 558.00 Mn |
| Jun 30, 2024 | 432.00 Mn |
| Mar 31, 2024 | 379.00 Mn |
| Dec 31, 2023 | 364.00 Mn |
| Sep 30, 2023 | 469.00 Mn |
| Jun 30, 2023 | 401.00 Mn |
| Mar 31, 2023 | 337.00 Mn |
| Dec 31, 2022 | 414.00 Mn |
| Sep 30, 2022 | 476.00 Mn |
| Jun 30, 2022 | 432.00 Mn |
| Mar 31, 2022 | 390.00 Mn |
| Dec 31, 2021 | 612.00 Mn |
| Sep 30, 2021 | 480.00 Mn |
Willis Towers Watson Prepaid Assets 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=prepaid-assets&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();