Willis Towers Watson (WTW) Non Operating Interest Expenses (2009 - 2026)
Willis Towers Watson (WTW) posted Non Operating Interest Expenses of $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) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Willis Towers Watson was $286 million, up 10.0% year-over-year; for FY2025, it was $260 million, down 1.1% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's Non Operating 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 stands as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- On a year-over-year basis, Non Operating Interest Expenses increased in five of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2026, with growth of 21.9%; the weakest was Q3 2021, with a decline of 18.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $77 million (Q1 2026), $66 million (Q4 2025) and $65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 200.00 Mn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 88.00 Mn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 248.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 113.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | -280.50 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 168.00 Mn |
| 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 | - | 179.00 Mn |
| 10 | Willis Towers Watson | 29.88 Bn | 21.29 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 Non Operating 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=non-operating-interest-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();