Marsh & Mclennan Companies (MRSH) Property, Plant & Equipment (Net) (2009 - 2026)
Marsh & Mclennan Companies' Property, Plant & Equipment (Net) came in at $806 million for Q2 2026, down 3.9% from $839 million a year earlier and down 1.0% from the prior quarter.
Powered by 
Analysis
Marsh & Mclennan Companies (MRSH) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Marsh & Mclennan Companies' Property, Plant & Equipment (Net) was $829 million, down 3.5% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $859 million in FY2024 (-2.6%), $882 million in FY2023 (+1.3%), $871 million in FY2022 (+2.8%) and $847 million in FY2021 (-1.1%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q2 2019.
- Year-over-year, Property, Plant & Equipment (Net) has declined for seven consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2022 (growth of 5.8%), and the weakest in Q3 2025 (a decline of 7.2%).
- Business Quant data shows MRSH's Property, Plant & Equipment (Net) at $814 million (Q1 2026), $829 million (Q4 2025) and $820 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.37 Bn | 80.95 Bn | 9.13 Bn | - |
| 2 | Progressive | 130.40 Bn | 106.23 Bn | 9.04 Bn | 922.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.32 Bn | 76.82 Bn | - | 806.00 Mn |
| 4 | Travelers Companies | 78.48 Bn | 54.73 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.83 Bn | -21.05 Bn | - | - |
| 6 | Metlife | 64.47 Bn | -42.31 Bn | 7.82 Bn | - |
| 7 | Allstate | 60.56 Bn | 21.83 Bn | 8.73 Bn | 591.00 Mn |
| 8 | Arthur J. Gallagher | 60.11 Bn | 54.52 Bn | - | 765.00 Mn |
| 9 | Aon | 58.74 Bn | 51.96 Bn | - | 761.00 Mn |
| 10 | Aflac | 58.68 Bn | 33.90 Bn | 2.27 Bn | 351.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 806.00 Mn |
| Mar 31, 2026 | 814.00 Mn |
| Dec 31, 2025 | 829.00 Mn |
| Sep 30, 2025 | 820.00 Mn |
| Jun 30, 2025 | 839.00 Mn |
| Mar 31, 2025 | 840.00 Mn |
| Dec 31, 2024 | 859.00 Mn |
| Sep 30, 2024 | 884.00 Mn |
| Jun 30, 2024 | 879.00 Mn |
| Mar 31, 2024 | 877.00 Mn |
| Dec 31, 2023 | 882.00 Mn |
| Sep 30, 2023 | 859.00 Mn |
| Jun 30, 2023 | 870.00 Mn |
| Mar 31, 2023 | 867.00 Mn |
| Dec 31, 2022 | 871.00 Mn |
| Sep 30, 2022 | 865.00 Mn |
| Jun 30, 2022 | 863.00 Mn |
| Mar 31, 2022 | 865.00 Mn |
| Dec 31, 2021 | 847.00 Mn |
| Sep 30, 2021 | 824.00 Mn |
API Access
Marsh & Mclennan Companies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MRSH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();