Willis Towers Watson (WTW) Operating Leases (2019 - 2026)
Willis Towers Watson's Operating Leases came in at $454 million for Q2 2026, down 9.2% from $500 million a year earlier and down 6.4% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson's Operating Leases was $472 million, down 6.3% from FY2024.
- Operating Leases has declined in each of the last six years, with a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- Going back by year, Operating Leases was $504 million in FY2024 (-15.9%), $599 million in FY2023 (-5.2%), $632 million in FY2022 (-15.6%) and $749 million in FY2021 (-20.0%).
- The Q2 2026 figure represents the lowest quarterly Operating Leases in data going back to Q1 2019.
- Year-over-year, Operating Leases has declined for 26 consecutive quarters, with an average decline of 9.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Operating Leases ranged from 2.3% (Q3 2024) to 24.0% (Q3 2022).
- Business Quant data shows WTW's Operating Leases at $485 million (Q1 2026), $472 million (Q4 2025) and $475 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 139.52 Bn | 86.10 Bn | 9.13 Bn |
| 2 | Progressive | 131.58 Bn | 107.41 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 92.74 Bn | 84.90 Bn | - |
| 4 | Travelers Companies | 85.43 Bn | 61.67 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.35 Bn | -17.53 Bn | - |
| 6 | Arthur J. Gallagher | 68.47 Bn | 62.88 Bn | - |
| 7 | Metlife | 65.58 Bn | -41.20 Bn | 7.82 Bn |
| 8 | Allstate | 65.36 Bn | 26.63 Bn | 8.73 Bn |
| 9 | Aon | 64.78 Bn | 58.00 Bn | - |
| 10 | Willis Towers Watson | 30.64 Bn | 22.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 454.00 Mn |
| Mar 31, 2026 | 485.00 Mn |
| Dec 31, 2025 | 472.00 Mn |
| Sep 30, 2025 | 475.00 Mn |
| Jun 30, 2025 | 500.00 Mn |
| Mar 31, 2025 | 498.00 Mn |
| Dec 31, 2024 | 504.00 Mn |
| Sep 30, 2024 | 556.00 Mn |
| Jun 30, 2024 | 564.00 Mn |
| Mar 31, 2024 | 570.00 Mn |
| Dec 31, 2023 | 599.00 Mn |
| Sep 30, 2023 | 569.00 Mn |
| Jun 30, 2023 | 602.00 Mn |
| Mar 31, 2023 | 610.00 Mn |
| Dec 31, 2022 | 632.00 Mn |
| Sep 30, 2022 | 608.00 Mn |
| Jun 30, 2022 | 645.00 Mn |
| Mar 31, 2022 | 715.00 Mn |
| Dec 31, 2021 | 749.00 Mn |
| Sep 30, 2021 | 800.00 Mn |
API Access
Willis Towers Watson Operating Leases 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=operating-leases&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();