Willis Towers Watson (WTW) Cost of Revenue (2009 - 2026)
Willis Towers Watson's (WTW) quarterly Cost of Revenue came in at $380.0 million in Q2 2026, up 13.1% on a YoY basis from $336.0 million in Q2 2025, and down 1.3% quarter-over-quarter from $385.0 million in Q1 2026.
Willis Towers Watson (WTW) Cost of Revenue (2009 - 2026) Analysis & Trends
Willis Towers Watson (WTW) has reported Cost of Revenue for 18 consecutive years, with $380.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Cost of Revenue rose 13.1% year-over-year to $380.0 million; the trailing twelve-month figure through Jun 2026 stood at $1.5 billion (down 10.13% YoY), and the FY2025 full-year result was $1.4 billion, down 23.19% from the prior year.
- Cost of Revenue declined to $380.0 million in Q2 2026 per WTW's latest filing, from $385.0 million in the prior quarter.
- Across five years, Cost of Revenue topped out at $533.0 million in Q4 2023 and bottomed at $336.0 million in Q2 2025.
- Historically, Cost of Revenue has averaged $417.6 million across 5 years, with a median of $407.5 million in 2023.
- The sharpest annual moves came in 2023 and 2025: Cost of Revenue advanced 23.38% in 2023, then tumbled 31.47% in 2025.
- Over 5 years, Cost of Revenue stood at $432.0 million in 2022, then rose by 23.38% to $533.0 million in 2023, then declined by 2.81% to $518.0 million in 2024, then slumped by 31.47% to $355.0 million in 2025, then increased by 7.04% to $380.0 million in 2026.
- According to Business Quant data, Cost of Revenue over the past three periods registered $380.0 million, $385.0 million, and $355.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 1.36 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | - |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | - |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 380.00 Mn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 271.00 Mn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | - |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | - |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 110.71 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 380.00 Mn |
| Mar 31, 2026 | 385.00 Mn |
| Dec 31, 2025 | 355.00 Mn |
| Sep 30, 2025 | 352.00 Mn |
| Jun 30, 2025 | 336.00 Mn |
| Mar 31, 2025 | 365.00 Mn |
| Dec 31, 2024 | 518.00 Mn |
| Sep 30, 2024 | 419.00 Mn |
| Jun 30, 2024 | 439.00 Mn |
| Mar 31, 2024 | 457.00 Mn |
| Dec 31, 2023 | 533.00 Mn |
| Sep 30, 2023 | 396.00 Mn |
| Jun 30, 2023 | 433.00 Mn |
| Mar 31, 2023 | 453.00 Mn |
| Dec 31, 2022 | 432.00 Mn |
| Sep 30, 2022 | 384.00 Mn |
| Jun 30, 2022 | 393.00 Mn |
| Mar 31, 2022 | 486.00 Mn |
| Dec 31, 2021 | 504.00 Mn |
| Sep 30, 2021 | 385.00 Mn |
Willis Towers Watson Cost of Revenue 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=cost-of-revenue&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();