Willis Towers Watson (WTW) EBITDA (2009 - 2026)
Willis Towers Watson (WTW) reported EBITDA of $474 million for Q2 2026, unchanged from $474 million a year earlier and down 14.1% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's EBITDA came in at $2.67 billion, up 95.9% year-over-year; for FY2025, it came in at $2.65 billion, up 144.9% from FY2024.
- EBITDA has a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, EBITDA came in at $1.08 billion in FY2024 (-42.1%), $1.87 billion in FY2023 (+7.2%), $1.75 billion in FY2022 (-38.8%) and $2.85 billion in FY2021 (+75.1%).
- Five-year quarterly EBITDA spans a low of -$650 million in Q3 2024 and a high of $1.29 billion in Q3 2021.
- Year over year, EBITDA gained in five of the last six quarters, with growth averaging 17.5%.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 420.2%); the low point was Q3 2022 (a decline of 77.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $552 million (Q1 2026), $1.12 billion (Q4 2025) and $521 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 1.14 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 940.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 474.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 474.00 Mn |
| Mar 31, 2026 | 552.00 Mn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 30, 2025 | 521.00 Mn |
| Jun 30, 2025 | 474.00 Mn |
| Mar 31, 2025 | 534.00 Mn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | -650.00 Mn |
| Jun 30, 2024 | 329.00 Mn |
| Mar 31, 2024 | 399.00 Mn |
| Dec 31, 2023 | 897.00 Mn |
| Sep 30, 2023 | 281.00 Mn |
| Jun 30, 2023 | 276.00 Mn |
| Mar 31, 2023 | 416.00 Mn |
| Dec 31, 2022 | 845.00 Mn |
| Sep 30, 2022 | 285.00 Mn |
| Jun 30, 2022 | 285.00 Mn |
| Mar 31, 2022 | 330.00 Mn |
| Dec 31, 2021 | 842.00 Mn |
| Sep 30, 2021 | 1.29 Bn |
API Access
Willis Towers Watson EBITDA 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=ebitda&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();