Marsh & Mclennan Companies (MRSH) Enterprise Value (2009 - 2026)
Marsh & Mclennan Companies' Enterprise Value came in at $79.48 billion for Q3 2026, down 17.6% from $96.44 billion a year earlier but up 1.6% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Marsh & Mclennan Companies reported Enterprise Value of $73.48 billion, down 19.0% year-over-year; for FY2025, it came in at $87.51 billion, down 14.3% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $102.09 billion in FY2024 (+13.4%), $90.04 billion in FY2023 (+11.6%), $80.7 billion in FY2022 (-6.2%) and $86.07 billion in FY2021 (+49.7%).
- The five-year range for quarterly Enterprise Value is $73.62 billion (Q3 2022) to $118.91 billion (Q1 2025).
- Year-over-year, Enterprise Value has declined for five consecutive quarters, with an average decline of 8.0% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 49.7%), and the weakest in Q1 2026 (a decline of 30.8%).
- Business Quant data shows MRSH's Enterprise Value at $78.22 billion (Q2 2026), $82.23 billion (Q1 2026) and $87.51 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.69 Bn | 84.28 Bn | 9.13 Bn |
| 2 | Progressive | 128.80 Bn | 104.64 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 90.35 Bn | 82.51 Bn | - |
| 4 | Travelers Companies | 83.65 Bn | 59.90 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.14 Bn | -17.75 Bn | - |
| 6 | Arthur J. Gallagher | 66.29 Bn | 60.69 Bn | - |
| 7 | Metlife | 65.70 Bn | -41.08 Bn | 7.82 Bn |
| 8 | Allstate | 64.02 Bn | 25.29 Bn | 8.73 Bn |
| 9 | Aon | 62.74 Bn | 55.96 Bn | - |
| 10 | Aflac | 60.58 Bn | 35.79 Bn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.48 Bn |
| Jun 30, 2026 | 78.22 Bn |
| Mar 31, 2026 | 82.23 Bn |
| Dec 31, 2025 | 87.51 Bn |
| Sep 30, 2025 | 96.44 Bn |
| Jun 30, 2025 | 106.10 Bn |
| Mar 31, 2025 | 118.91 Bn |
| Dec 31, 2024 | 102.09 Bn |
| Sep 30, 2024 | 107.93 Bn |
| Jun 30, 2024 | 102.22 Bn |
| Mar 31, 2024 | 100.30 Bn |
| Dec 31, 2023 | 90.04 Bn |
| Sep 30, 2023 | 91.10 Bn |
| Jun 30, 2023 | 91.92 Bn |
| Mar 31, 2023 | 81.68 Bn |
| Dec 31, 2022 | 80.70 Bn |
| Sep 30, 2022 | 73.62 Bn |
| Jun 30, 2022 | 76.78 Bn |
| Mar 31, 2022 | 85.00 Bn |
| Dec 31, 2021 | 86.07 Bn |
API Access
Marsh & Mclennan Companies Enterprise Value 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=enterprise-value&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();