Willis Towers Watson (WTW) Total Current Liabilities (2009 - 2026)
Willis Towers Watson (WTW) posted Total Current Liabilities of $15.25 billion for Q2 2026, up 9.9% from $13.87 billion a year earlier and up 12.5% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson's Total Current Liabilities came in at $14 billion, up 11.2% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's Total Current Liabilities was $12.6 billion in FY2024 (-0.3%), $12.63 billion in FY2023 (-14.5%), $14.78 billion in FY2022 (+0.4%) and $14.72 billion in FY2021 (-23.8%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2021.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last six quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 11.2%; the weakest was Q3 2022, with a decline of 24.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $13.55 billion (Q1 2026), $14 billion (Q4 2025) and $13.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 22.11 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 43.17 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | - |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | - |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 27.23 Bn |
| 10 | Willis Towers Watson | 29.88 Bn | 21.29 Bn | - | 15.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.25 Bn |
| Mar 31, 2026 | 13.55 Bn |
| Dec 31, 2025 | 14.00 Bn |
| Sep 30, 2025 | 13.24 Bn |
| Jun 30, 2025 | 13.87 Bn |
| Mar 31, 2025 | 13.38 Bn |
| Dec 31, 2024 | 12.60 Bn |
| Sep 30, 2024 | 12.54 Bn |
| Jun 30, 2024 | 12.67 Bn |
| Mar 31, 2024 | 13.12 Bn |
| Dec 31, 2023 | 12.63 Bn |
| Sep 30, 2023 | 11.31 Bn |
| Jun 30, 2023 | 11.97 Bn |
| Mar 31, 2023 | 14.89 Bn |
| Dec 31, 2022 | 14.78 Bn |
| Sep 30, 2022 | 14.12 Bn |
| Jun 30, 2022 | 14.69 Bn |
| Mar 31, 2022 | 14.91 Bn |
| Dec 31, 2021 | 14.72 Bn |
| Sep 30, 2021 | 18.62 Bn |
API Access
Willis Towers Watson Total 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-current-liabilities&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();