Willis Towers Watson (WTW) Cash & Equivalents (2009 - 2026)
Willis Towers Watson (WTW) posted Cash & Equivalents of $1.63 billion for Q2 2026, down 17.1% from $1.96 billion a year earlier and down 12.3% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson's Cash & Equivalents came in at $3.13 billion, up 65.7% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's Cash & Equivalents was $1.89 billion in FY2024 (+32.7%), $1.42 billion in FY2023 (+12.8%), $1.26 billion in FY2022 (-71.9%) and $4.49 billion in FY2021 (+120.0%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q1 2025.
- On a year-over-year basis, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 23.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 120.0%; the weakest was Q4 2022, with a decline of 71.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.86 billion (Q1 2026), $3.13 billion (Q4 2025) and $1.9 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.62 Bn | 85.21 Bn | 9.13 Bn | 2.75 Bn |
| 2 | Progressive | 132.48 Bn | 108.31 Bn | 9.04 Bn | 193.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.24 Bn | 86.40 Bn | - | 1.84 Bn |
| 4 | Travelers Companies | 84.59 Bn | 60.84 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 75.77 Bn | -19.11 Bn | - | - |
| 6 | Arthur J. Gallagher | 69.11 Bn | 63.51 Bn | - | 1.39 Bn |
| 7 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Allstate | 65.40 Bn | 26.67 Bn | 8.73 Bn | - |
| 9 | Aon | 64.70 Bn | 57.92 Bn | - | 1.06 Bn |
| 10 | Willis Towers Watson | 30.82 Bn | 22.23 Bn | - | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Bn |
| Mar 31, 2026 | 1.86 Bn |
| Dec 31, 2025 | 3.13 Bn |
| Sep 30, 2025 | 1.90 Bn |
| Jun 30, 2025 | 1.96 Bn |
| Mar 31, 2025 | 1.51 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 30, 2024 | 1.37 Bn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 1.89 Bn |
| Dec 31, 2023 | 1.42 Bn |
| Sep 30, 2023 | 1.25 Bn |
| Jun 30, 2023 | 1.60 Bn |
| Mar 31, 2023 | 1.14 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.50 Bn |
| Jun 30, 2022 | 1.92 Bn |
| Mar 31, 2022 | 2.20 Bn |
| Dec 31, 2021 | 4.49 Bn |
| Sep 30, 2021 | 2.16 Bn |
API Access
Willis Towers Watson Cash & Equivalents 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=cash-and-equivalents&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();