Marsh & Mclennan Companies (MRSH) Shares Outstanding (Entity) (2009 - 2026)
Marsh & Mclennan Companies (MRSH) recorded Shares Outstanding (Entity) of 475 million in Q3 2026, down 3.1% from 490 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Marsh & Mclennan Companies reported Shares Outstanding (Entity) of 485 million, down 1.2% from FY2024.
- Annual Shares Outstanding (Entity) has declined for five straight years, with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 491 million in FY2024 (-0.2%), 492 million in FY2023 (-0.6%), 495 million in FY2022 (-1.8%) and 504 million in FY2021 (-0.8%).
- The Q3 2026 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for five consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Entity) ran from 0.0% in Q2 2025 to 3.1% in Q3 2026.
- Per Business Quant, the preceding three quarters came in at 478 million (Q2 2026), 482 million (Q1 2026) and 485 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 142.34 Bn | 87.98 Bn | 8.67 Bn | 382.53 Mn |
| 2 | Progressive | 136.64 Bn | 136.64 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 98.05 Bn | 90.21 Bn | - | 475.00 Mn |
| 4 | Travelers Companies | 84.07 Bn | 84.07 Bn | - | - |
| 5 | Manulife Financial | 76.36 Bn | -18.52 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.85 Bn | 71.85 Bn | - | - |
| 7 | Aon | 70.83 Bn | 50.04 Bn | - | 212.16 Mn |
| 8 | Allstate | 67.61 Bn | 28.88 Bn | 8.73 Bn | 254.00 Mn |
| 9 | Metlife | 64.94 Bn | -41.84 Bn | 7.82 Bn | 637.75 Mn |
| 10 | Aflac | 62.72 Bn | 37.94 Bn | 2.27 Bn | 502.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 475.00 Mn |
| Jun 30, 2026 | 478.00 Mn |
| Mar 31, 2026 | 482.00 Mn |
| Dec 31, 2025 | 485.00 Mn |
| Sep 30, 2025 | 490.00 Mn |
| Jun 30, 2025 | 492.00 Mn |
| Mar 31, 2025 | 493.00 Mn |
| Dec 31, 2024 | 491.00 Mn |
| Sep 30, 2024 | 491.00 Mn |
| Jun 30, 2024 | 492.00 Mn |
| Mar 31, 2024 | 493.00 Mn |
| Dec 31, 2023 | 492.00 Mn |
| Sep 30, 2023 | 493.00 Mn |
| Jun 30, 2023 | 494.00 Mn |
| Mar 31, 2023 | 495.00 Mn |
| Dec 31, 2022 | 495.00 Mn |
| Sep 30, 2022 | 497.00 Mn |
| Jun 30, 2022 | 499.00 Mn |
| Mar 31, 2022 | 502.00 Mn |
| Dec 31, 2021 | 504.00 Mn |
API Access
Marsh & Mclennan Companies Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();