Willis Towers Watson (WTW) Interest Expenses (2009 - 2026)
Willis Towers Watson's Interest Expenses came in at $78 million for Q2 2026, up 21.9% from $64 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Willis Towers Watson reported Interest Expenses of $286 million, up 10.0% year-over-year; for FY2025, it came in at $260 million, down 1.1% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $263 million in FY2024 (+11.9%), $235 million in FY2023 (+13.0%), $208 million in FY2022 (-1.4%) and $211 million in FY2021 (-13.5%).
- The Q2 2026 figure represents the highest quarterly Interest Expenses in data going back to Q2 2009.
- Year-over-year, Interest Expenses increased in five of the last eight quarters, with growth averaging 5.9%.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2026 (growth of 21.9%), and the weakest in Q3 2021 (a decline of 18.0%).
- Business Quant data shows WTW's Interest Expenses at $77 million (Q1 2026), $66 million (Q4 2025) and $65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 200.00 Mn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | 88.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 248.00 Mn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | 113.00 Mn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | -280.50 Mn |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | 168.00 Mn |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | 96.00 Mn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | 179.00 Mn |
| 10 | Willis Towers Watson | 31.09 Bn | 22.50 Bn | - | 78.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.00 Mn |
| Mar 31, 2026 | 77.00 Mn |
| Dec 31, 2025 | 66.00 Mn |
| Sep 30, 2025 | 65.00 Mn |
| Jun 30, 2025 | 64.00 Mn |
| Mar 31, 2025 | 65.00 Mn |
| Dec 31, 2024 | 66.00 Mn |
| Sep 30, 2024 | 65.00 Mn |
| Jun 30, 2024 | 68.00 Mn |
| Mar 31, 2024 | 64.00 Mn |
| Dec 31, 2023 | 63.00 Mn |
| Sep 30, 2023 | 61.00 Mn |
| Jun 30, 2023 | 57.00 Mn |
| Mar 31, 2023 | 54.00 Mn |
| Dec 31, 2022 | 54.00 Mn |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 51.00 Mn |
| Mar 31, 2022 | 49.00 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 30, 2021 | 50.00 Mn |
API Access
Willis Towers Watson Interest Expenses 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=interest-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();