Willis Towers Watson (WTW) Receivables (2009 - 2026)
Willis Towers Watson (WTW) recorded Receivables of $3.2 billion in Q2 2026, up 10.6% from $2.89 billion a year earlier but down 0.9% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Willis Towers Watson reported Receivables of $3.25 billion, up 5.9% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $3.06 billion in FY2024 (-0.3%), $3.07 billion in FY2023 (+7.7%), $2.85 billion in FY2022 (+1.7%) and $2.81 billion in FY2021 (-1.7%).
- Quarterly Receivables has ranged from $2.34 billion in Q3 2022 to $3.25 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for four consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 11.1% in Q1 2026, against a decline of 18.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.23 billion (Q1 2026), $3.25 billion (Q4 2025) and $2.75 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 54.42 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 19.07 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 17.11 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 8.94 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 12.38 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 50.64 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 5.66 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 8.76 Bn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 3.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.20 Bn |
| Mar 31, 2026 | 3.23 Bn |
| Dec 31, 2025 | 3.25 Bn |
| Sep 30, 2025 | 2.75 Bn |
| Jun 30, 2025 | 2.89 Bn |
| Mar 31, 2025 | 2.90 Bn |
| Dec 31, 2024 | 3.06 Bn |
| Sep 30, 2024 | 2.70 Bn |
| Jun 30, 2024 | 2.96 Bn |
| Mar 31, 2024 | 2.97 Bn |
| Dec 31, 2023 | 3.07 Bn |
| Sep 30, 2023 | 2.59 Bn |
| Jun 30, 2023 | 2.70 Bn |
| Mar 31, 2023 | 2.76 Bn |
| Dec 31, 2022 | 2.85 Bn |
| Sep 30, 2022 | 2.34 Bn |
| Jun 30, 2022 | 2.46 Bn |
| Mar 31, 2022 | 2.66 Bn |
| Dec 31, 2021 | 2.81 Bn |
| Sep 30, 2021 | 2.58 Bn |
API Access
Willis Towers Watson Receivables 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=receivables&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();