Willis Towers Watson (WTW) Tax Provisions (2009 - 2026)
Willis Towers Watson (WTW) recorded Tax Provisions of $57 million in Q2 2026, compared with -$21 million a year earlier and down 18.6% from the prior quarter.
Willis Towers Watson (WTW) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Willis Towers Watson's Tax Provisions came in at $401 million as of Jun 30, 2026, up 147.5% year-over-year; for FY2025, it came in at $318 million, up 65.6% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $192 million in FY2024 (-10.7%), $215 million in FY2023 (+10.8%), $194 million in FY2022 (-63.8%) and $536 million in FY2021 (+115.3%).
- Quarterly Tax Provisions has ranged from -$322 million in Q3 2024 to $440 million in Q4 2024 over the past five years.
- On a year-over-year basis, Tax Provisions rose in three of the last four quarters, with growth averaging 66.8%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 535.7% in Q3 2021, against a decline of 99.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $70 million (Q1 2026), $197 million (Q4 2025) and $77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 742.00 Mn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 898.00 Mn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 559.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 90.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 871.00 Mn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 159.00 Mn |
| 10 | Willis Towers Watson | 29.88 Bn | 21.29 Bn | - | 57.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.00 Mn |
| Mar 31, 2026 | 70.00 Mn |
| Dec 31, 2025 | 197.00 Mn |
| Sep 30, 2025 | 77.00 Mn |
| Jun 30, 2025 | -21.00 Mn |
| Mar 31, 2025 | 65.00 Mn |
| Dec 31, 2024 | 440.00 Mn |
| Sep 30, 2024 | -322.00 Mn |
| Jun 30, 2024 | 26.00 Mn |
| Mar 31, 2024 | 48.00 Mn |
| Dec 31, 2023 | 116.00 Mn |
| Sep 30, 2023 | 25.00 Mn |
| Jun 30, 2023 | 24.00 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 131.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 19.00 Mn |
| Mar 31, 2022 | 43.00 Mn |
| Dec 31, 2021 | 150.00 Mn |
| Sep 30, 2021 | 267.00 Mn |
Willis Towers Watson Tax Provisions 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=tax-provisions&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();