Willis Towers Watson (WTW) Amortization - Intangibles (2009 - 2026)
Willis Towers Watson (WTW) posted Amortization - Intangibles of $55 million for Q2 2026, up 12.2% from $49 million a year earlier and up 14.6% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Willis Towers Watson was $198 million, down 2.5% year-over-year; for FY2025, it was $192 million, down 15.0% from FY2024.
- Annual Amortization - Intangibles has declined for nine consecutive years, with a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's Amortization - Intangibles was $226 million in FY2024 (-14.1%), $263 million in FY2023 (-15.7%), $312 million in FY2022 (-15.4%) and $369 million in FY2021 (-20.0%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles since Q3 2024.
- On a year-over-year basis, Amortization - Intangibles increased in 1 of the last eight quarters, with an average decline of 9.1%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2026, with growth of 12.2%; the weakest was Q4 2021, with a decline of 26.3%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $48 million (Q1 2026), $48 million (Q4 2025) and $47 million (Q3 2025).
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 | 55.00 Mn |
| Mar 31, 2026 | 48.00 Mn |
| Dec 31, 2025 | 48.00 Mn |
| Sep 30, 2025 | 47.00 Mn |
| Jun 30, 2025 | 49.00 Mn |
| Mar 31, 2025 | 48.00 Mn |
| Dec 31, 2024 | 50.00 Mn |
| Sep 30, 2024 | 56.00 Mn |
| Jun 30, 2024 | 60.00 Mn |
| Mar 31, 2024 | 60.00 Mn |
| Dec 31, 2023 | 60.00 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | 70.00 Mn |
| Mar 31, 2023 | 71.00 Mn |
| Dec 31, 2022 | 73.00 Mn |
| Sep 30, 2022 | 71.00 Mn |
| Jun 30, 2022 | 83.00 Mn |
| Mar 31, 2022 | 85.00 Mn |
| Dec 31, 2021 | 84.00 Mn |
| Sep 30, 2021 | 85.00 Mn |
API Access
Willis Towers Watson Amortization - 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=amortization-intangibles&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();