Willis Towers Watson (WTW) Restructuring Costs (2014 - 2024)
Willis Towers Watson (WTW) posted Restructuring Costs of $32 million for Q4 2024, down 15.8% from $38 million a year earlier but up 300.0% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Restructuring Costs (2014 - 2024) Analysis & Trends
For FY2024, Willis Towers Watson's Restructuring Costs came in at $61 million, down 10.3% from FY2023.
- Annual Restructuring Costs shows a four-year compound annual growth rate of 26.3% (FY2020 to FY2024).
- In prior years, Willis Towers Watson's Restructuring Costs was $68 million in FY2023 (-31.3%), $99 million in FY2022 (+280.8%), $26 million in FY2021 (+8.3%) and $24 million in FY2020.
- Quarterly Restructuring Costs has run from a low of $3 million in Q1 2023 to a high of $56 million in Q2 2022 over five years.
- On a year-over-year basis, Restructuring Costs has declined in each of the last three quarters, with growth averaging 44.2% over the last eight quarters.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q1 2024, with growth of 500.0%; the weakest was Q2 2023, with a decline of 82.1%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $8 million (Q3 2024), $3 million (Q2 2024) and $18 million (Q1 2024).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 32.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 38.00 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Sep 30, 2022 | 9.00 Mn |
| Jun 30, 2022 | 56.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 26.00 Mn |
| Mar 31, 2019 | 6.00 Mn |
| Dec 31, 2018 | -148.00 Mn |
| Sep 30, 2018 | 50.00 Mn |
| Jun 30, 2018 | 55.00 Mn |
| Mar 31, 2018 | 43.00 Mn |
| Dec 31, 2017 | -45.00 Mn |
| Sep 30, 2017 | 74.00 Mn |
API Access
Willis Towers Watson Restructuring Costs 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=restructuring-costs&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();