Willis Towers Watson (WTW) Depreciation and Depletion (2009 - 2026)
Willis Towers Watson's Depreciation and Depletion was $55 million in Q2 2026, down 3.5% from $57 million a year earlier and down 1.8% from the prior quarter.
Powered by 
Analysis
Willis Towers Watson (WTW) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Willis Towers Watson's Depreciation and Depletion was $226 million through Jun 30, 2026, up 0.4% year-over-year; for FY2025, it came in at $226 million, down 1.7% from FY2024.
- Depreciation and Depletion has now declined for five consecutive years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $230 million in FY2024 (-5.0%), $242 million in FY2023 (-5.1%), $255 million in FY2022 (-9.3%) and $281 million in FY2021 (-8.8%).
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion since Q1 2025.
- Compared with a year earlier, Depreciation and Depletion was higher in two of the last eight quarters, with an average decline of 1.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2025 (growth of 9.3%); the worst was Q3 2022 (a decline of 13.0%).
- Per Business Quant data, WTW's Depreciation and Depletion in the three quarters before Q2 2026 was $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. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 82.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 57.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 49.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 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 and Depletion 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-depletion&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();