Willis Towers Watson (WTW) Times Interest Earned (2009 - 2026)
Willis Towers Watson's (WTW) quarterly Times Interest Earned came in at 4.67 in Q2 2026, down 18.84% on a YoY basis from 5.75 in Q2 2025, and down 19.79% quarter-over-quarter from 5.82 in Q1 2026.
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Willis Towers Watson (WTW) Times Interest Earned (2009 - 2026) Analysis & Trends
Willis Towers Watson (WTW) has reported Times Interest Earned for 18 consecutive years, with 4.67 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Times Interest Earned fell 18.84% year-over-year to 4.67; the trailing twelve-month figure through Jun 2026 stood at 7.85 (up 118.38% YoY), and the FY2025 full-year result was 8.59, up 260.41% from the prior year.
- Times Interest Earned retreated to 4.67 in Q2 2026 per WTW's latest filing, from 5.82 in the prior quarter.
- Across five years, Times Interest Earned topped out at 15.39 in Q4 2025 and bottomed at 11.78 in Q3 2024.
- Historically, Times Interest Earned has averaged 5.51 across 5 years, with a median of 4.97 in 2023.
- The sharpest annual moves came in 2024 and 2025: Times Interest Earned tumbled 552.11% in 2024, then jumped 154.57% in 2025.
- Over 5 years, Times Interest Earned stood at 13.11 in 2022, then retreated by 5.69% to 12.37 in 2023, then advanced by 10.4% to 13.65 in 2024, then advanced by 12.76% to 15.39 in 2025, then slumped by 69.69% to 4.67 in 2026.
- According to Business Quant data, Times Interest Earned over the past three periods registered 4.67, 5.82, and 15.39 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 7.60 |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 5.11 |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 3.46 |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 4.67 |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 1.12 |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.67 |
| Mar 31, 2026 | 5.82 |
| Dec 31, 2025 | 15.39 |
| Sep 30, 2025 | 6.43 |
| Jun 30, 2025 | 5.75 |
| Mar 31, 2025 | 6.65 |
| Dec 31, 2024 | 13.65 |
| Sep 30, 2024 | -11.78 |
| Jun 30, 2024 | 3.12 |
| Mar 31, 2024 | 4.38 |
| Dec 31, 2023 | 12.37 |
| Sep 30, 2023 | 2.61 |
| Jun 30, 2023 | 2.49 |
| Mar 31, 2023 | 5.28 |
| Dec 31, 2022 | 13.11 |
| Sep 30, 2022 | 2.85 |
| Jun 30, 2022 | 2.69 |
| Mar 31, 2022 | 3.65 |
| Dec 31, 2021 | 13.80 |
| Sep 30, 2021 | 22.62 |
API Access
Willis Towers Watson Times Interest Earned 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=times-interest-earned&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();