Willis Towers Watson (WTW) Other Working Capital Changes (2009 - 2026)
Willis Towers Watson (WTW) recorded Other Working Capital Changes of $46 million in Q2 2026, down 54.0% from $100 million a year earlier and down 9.8% from the prior quarter.
Willis Towers Watson (WTW) Other Working Capital Changes (2009 - 2026) Analysis & Trends
On a TTM basis, Willis Towers Watson's Other Working Capital Changes came in at $114 million as of Jun 30, 2026, down 63.3% year-over-year; for FY2025, it was $116 million, down 68.9% from FY2024.
- Annual Other Working Capital Changes has a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- Across earlier years, Other Working Capital Changes came in at $373 million in FY2024 (+101.6%), $185 million in FY2023 (-6.1%), $197 million in FY2022 (+61.5%) and $122 million in FY2021 (-40.5%).
- Quarterly Other Working Capital Changes has ranged from -$26 million in Q4 2025 to $138 million in Q3 2024 over the past five years.
- On a year-over-year basis, Other Working Capital Changes rose in two of the last five quarters, with growth averaging 111.3%.
- Peak year-over-year performance for Other Working Capital Changes in the last five years was growth of 640.0% in Q4 2024, against a decline of 72.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $51 million (Q1 2026), -$26 million (Q4 2025) and $43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - |
| 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 | - |
| 10 | Willis Towers Watson | 29.88 Bn | 21.29 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.00 Mn |
| Mar 31, 2026 | -545.00 Mn |
| Dec 31, 2025 | 228.00 Mn |
| Sep 30, 2025 | 47.00 Mn |
| Jun 30, 2025 | -184.00 Mn |
| Mar 31, 2025 | -674.00 Mn |
| Dec 31, 2024 | 317.00 Mn |
| Sep 30, 2024 | -52.00 Mn |
| Jun 30, 2024 | 108.00 Mn |
| Mar 31, 2024 | -466.00 Mn |
| Dec 31, 2023 | 198.00 Mn |
| Sep 30, 2023 | 38.00 Mn |
| Jun 30, 2023 | -9.00 Mn |
| Mar 31, 2023 | -392.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | -30.00 Mn |
| Jun 30, 2022 | -204.00 Mn |
| Mar 31, 2022 | -467.00 Mn |
| Dec 31, 2021 | 12.00 Mn |
| Sep 30, 2021 | 269.00 Mn |
Willis Towers Watson Other Working Capital Changes 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=other-working-capital-changes&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-working-capital-changes", "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=other-working-capital-changes&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();