Willis Towers Watson (WTW) Total Non-Current Liabilities (2009 - 2026)
Willis Towers Watson (WTW) reported Total Non-Current Liabilities of $7.54 billion for Q2 2026, up 17.4% from $6.43 billion a year earlier but down 6.1% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson posted Total Non-Current Liabilities of $7.47 billion, up 5.8% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $7.07 billion in FY2024 (+2.9%), $6.87 billion in FY2023 (-0.4%), $6.9 billion in FY2022 (-0.6%) and $6.94 billion in FY2021 (-16.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $6.39 billion in Q3 2025 and a high of $8.03 billion in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 24.2%); the low point was Q4 2021 (a decline of 16.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.03 billion (Q1 2026), $7.47 billion (Q4 2025) and $6.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 193.01 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 43.45 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 103.73 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 709.73 Bn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 55.80 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 515.80 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 91.05 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 42.27 Bn |
| 10 | Willis Towers Watson | 29.88 Bn | 21.29 Bn | - | 7.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.54 Bn |
| Mar 31, 2026 | 8.03 Bn |
| Dec 31, 2025 | 7.47 Bn |
| Sep 30, 2025 | 6.39 Bn |
| Jun 30, 2025 | 6.43 Bn |
| Mar 31, 2025 | 6.47 Bn |
| Dec 31, 2024 | 7.07 Bn |
| Sep 30, 2024 | 7.06 Bn |
| Jun 30, 2024 | 7.53 Bn |
| Mar 31, 2024 | 7.55 Bn |
| Dec 31, 2023 | 6.87 Bn |
| Sep 30, 2023 | 6.83 Bn |
| Jun 30, 2023 | 6.93 Bn |
| Mar 31, 2023 | 6.84 Bn |
| Dec 31, 2022 | 6.90 Bn |
| Sep 30, 2022 | 6.96 Bn |
| Jun 30, 2022 | 7.40 Bn |
| Mar 31, 2022 | 6.85 Bn |
| Dec 31, 2021 | 6.94 Bn |
| Sep 30, 2021 | 7.23 Bn |
API Access
Willis Towers Watson Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();