Marsh & Mclennan Companies (MRSH) Non-Current Assets (2009 - 2026)
Marsh & Mclennan Companies (MRSH) posted Non-Current Assets of $35.7 billion for Q3 2026, up 1.8% from $35.08 billion a year earlier and up 1.0% from the prior quarter.
Marsh & Mclennan Companies (MRSH) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Marsh & Mclennan Companies' Non-Current Assets came in at $35.51 billion, up 3.3% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior years, Marsh & Mclennan Companies' Non-Current Assets was $34.36 billion in FY2024 (+30.8%), $26.28 billion in FY2023 (+4.5%), $25.16 billion in FY2022 (-29.6%) and $35.75 billion in FY2021 (+43.6%).
- The Q3 2026 figure stands as the highest quarterly Non-Current Assets since Q4 2021.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 14 quarters, with growth averaging 16.2% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 43.6%; the weakest was Q4 2022, with a decline of 29.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $35.35 billion (Q2 2026), $35.32 billion (Q1 2026) and $35.51 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.73 Bn | 84.31 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.15 Bn | 104.99 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.50 Bn | 82.66 Bn | - | 35.70 Bn |
| 4 | Travelers Companies | 83.97 Bn | 60.22 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.33 Bn | -17.55 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.26 Bn | 60.67 Bn | - | 36.36 Bn |
| 7 | Metlife | 65.74 Bn | -41.04 Bn | 7.82 Bn | - |
| 8 | Allstate | 64.17 Bn | 25.44 Bn | 8.73 Bn | - |
| 9 | Aon | 62.63 Bn | 55.85 Bn | - | 25.23 Bn |
| 10 | Aflac | 60.62 Bn | 35.83 Bn | 2.27 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.70 Bn |
| Jun 30, 2026 | 35.35 Bn |
| Mar 31, 2026 | 35.32 Bn |
| Dec 31, 2025 | 35.51 Bn |
| Sep 30, 2025 | 35.08 Bn |
| Jun 30, 2025 | 35.22 Bn |
| Mar 31, 2025 | 34.55 Bn |
| Dec 31, 2024 | 34.36 Bn |
| Sep 30, 2024 | 27.58 Bn |
| Jun 30, 2024 | 26.57 Bn |
| Mar 31, 2024 | 26.27 Bn |
| Dec 31, 2023 | 26.28 Bn |
| Sep 30, 2023 | 25.72 Bn |
| Jun 30, 2023 | 25.76 Bn |
| Mar 31, 2023 | 25.25 Bn |
| Dec 31, 2022 | 25.16 Bn |
| Sep 30, 2022 | 24.45 Bn |
| Jun 30, 2022 | 25.27 Bn |
| Mar 31, 2022 | 25.90 Bn |
| Dec 31, 2021 | 35.75 Bn |
Marsh & Mclennan Companies Non-Current Assets 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=non-current-assets&ticker=MRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();