Willis Towers Watson (WTW) Depreciation & Amortization - Total (2009 - 2026)
Willis Towers Watson (WTW) reported Depreciation & Amortization - Total of $55 million for Q2 2026, down 3.5% from $57 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Depreciation & Amortization - Total (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's Depreciation & Amortization - Total came in at $226 million, up 0.4% year-over-year; for FY2025, it was $226 million, down 1.7% from FY2024.
- Depreciation & Amortization - Total has declined for five consecutive years, with a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- By year, Depreciation & Amortization - Total came in at $230 million in FY2024 (-5.0%), $242 million in FY2023 (-5.1%), $255 million in FY2022 (-9.3%) and $281 million in FY2021 (-8.5%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation & Amortization - Total since Q1 2025.
- Year over year, Depreciation & Amortization - Total gained in two of the last eight quarters, with an average decline of 1.6%.
- The high point for year-over-year Depreciation & Amortization - Total in five years was Q4 2025 (growth of 9.3%); the low point was Q3 2022 (a decline of 13.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56 million (Q1 2026), $59 million (Q4 2025) and $56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 49.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 57.00 Mn |
| 10 | Willis Towers Watson | 26.77 Bn | 18.26 Bn | - | 55.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.00 Mn |
| Mar 31, 2026 | 56.00 Mn |
| Dec 31, 2025 | 59.00 Mn |
| Sep 30, 2025 | 56.00 Mn |
| Jun 30, 2025 | 57.00 Mn |
| Mar 31, 2025 | 54.00 Mn |
| Dec 31, 2024 | 54.00 Mn |
| Sep 30, 2024 | 60.00 Mn |
| Jun 30, 2024 | 57.00 Mn |
| Mar 31, 2024 | 59.00 Mn |
| Dec 31, 2023 | 58.00 Mn |
| Sep 30, 2023 | 60.00 Mn |
| Jun 30, 2023 | 64.00 Mn |
| Mar 31, 2023 | 60.00 Mn |
| Dec 31, 2022 | 64.00 Mn |
| Sep 30, 2022 | 60.00 Mn |
| Jun 30, 2022 | 65.00 Mn |
| Mar 31, 2022 | 66.00 Mn |
| Dec 31, 2021 | 69.00 Mn |
| Sep 30, 2021 | 69.00 Mn |
API Access
Willis Towers Watson Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();