Willis Towers Watson (WTW) Intangibles (2009 - 2026)
Willis Towers Watson's (WTW) quarterly Intangibles came in at $409.0 million in Q2 2026, up 3990.0% on a YoY basis from $10.0 million in Q2 2025, and down 92.16% quarter-over-quarter from $5.2 billion in Q1 2026.
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Analysis
Willis Towers Watson (WTW) Intangibles (2009 - 2026) Analysis & Trends
Willis Towers Watson (WTW) has reported Intangibles for 18 consecutive years, with $409.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Intangibles rose 3990.0% year-over-year to $409.0 million; the trailing twelve-month figure through Jun 2026 stood at $409.0 million (up 3990.0% YoY), and the FY2025 full-year result was $5.1 billion, up 22895.45% from the prior year.
- Intangibles retreated to $409.0 million in Q2 2026 per WTW's latest filing, from $5.2 billion in the prior quarter.
- Across five years, Intangibles topped out at $5.7 billion in Q1 2022 and bottomed at $4.0 million in Q2 2023.
- Historically, Intangibles has averaged $2.4 billion across 5 years, with a median of $237.0 million in 2022.
- The sharpest annual moves came in 2024 and 2025: Intangibles plunged 99.61% in 2024, then jumped 22895.45% in 2025.
- Over 5 years, Intangibles stood at $5.6 billion in 2022, then rose by 0.3% to $5.6 billion in 2023, then slumped by 99.61% to $22.0 million in 2024, then jumped by 22895.45% to $5.1 billion in 2025, then slumped by 91.92% to $409.0 million in 2026.
- According to Business Quant data, Intangibles over the past three periods registered $409.0 million, $5.2 billion, and $5.1 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 4.51 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 5.66 Bn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 10.21 Bn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 409.00 Mn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 4.57 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | 98,000.00 |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 127.13 Mn |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | 89.32 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | 1.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 409.00 Mn |
| Mar 31, 2026 | 5.22 Bn |
| Dec 31, 2025 | 5.06 Bn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 10.00 Mn |
| Mar 31, 2025 | 4.94 Bn |
| Dec 31, 2024 | 22.00 Mn |
| Sep 30, 2024 | 20.00 Mn |
| Jun 30, 2024 | 10.00 Mn |
| Mar 31, 2024 | 5.63 Bn |
| Dec 31, 2023 | 5.64 Bn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 5.65 Bn |
| Dec 31, 2022 | 5.62 Bn |
| Sep 30, 2022 | 65.00 Mn |
| Jun 30, 2022 | 61.00 Mn |
| Mar 31, 2022 | 5.69 Bn |
| Dec 31, 2021 | 5.68 Bn |
| Sep 30, 2021 | 5.72 Bn |
API Access
Willis Towers Watson Intangibles 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=intangibles&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();