Willis Towers Watson (WTW) Long-Term Debt Repayments (2009 - 2026)
Willis Towers Watson's Long-Term Debt Repayments was $1 million in Q2 2026, unchanged from $1 million a year earlier and down 99.8% from the prior quarter.
Powered by 
Analysis
Willis Towers Watson (WTW) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Willis Towers Watson's Long-Term Debt Repayments was $555 million through Jun 30, 2026; for FY2025, it was $5 million, down 99.2% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -56.7% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $655 million in FY2024 (+157.9%), $254 million in FY2023 (-56.6%), $585 million in FY2022 (-42.0%) and $1.01 billion in FY2021 (+208.3%).
- Quarterly Long-Term Debt Repayments has moved between $1 million (Q1 2022) and $651 million (Q2 2024) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last seven quarters, with an average decline of 7.1%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2021 (growth of 375.0%); the worst was Q2 2025 (a decline of 99.8%).
- Per Business Quant data, WTW's Long-Term Debt Repayments in the three quarters before Q2 2026 was $551 million (Q1 2026), $1 million (Q4 2025) and $2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | - |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | - |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | - |
| 10 | Willis Towers Watson | 31.09 Bn | 22.50 Bn | - | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 551.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 651.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 251.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 582.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Sep 30, 2021 | 455.00 Mn |
| Jun 30, 2021 | 7.00 Mn |
API Access
Willis Towers Watson Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();