Marsh & Mclennan Companies (MRSH) Shares Outstanding (Diluted) (2009 - 2026)
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Analysis
Marsh & Mclennan Companies (MRSH) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 482.00 Mn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | 213.90 Mn |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | 258.70 Mn |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 94.00 Mn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 334.00 Mn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | 675.56 Mn |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | 2,542.00 |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | 131.33 Mn |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 101.80 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 Bn | - | 92.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482.00 Mn |
| Mar 31, 2026 | 486.00 Mn |
| Dec 31, 2025 | 494.00 Mn |
| Sep 30, 2025 | 494.00 Mn |
| Jun 30, 2025 | 495.00 Mn |
| Mar 31, 2025 | 495.00 Mn |
| Dec 31, 2024 | 496.00 Mn |
| Sep 30, 2024 | 496.00 Mn |
| Jun 30, 2024 | 496.00 Mn |
| Mar 31, 2024 | 497.00 Mn |
| Dec 31, 2023 | 499.00 Mn |
| Sep 30, 2023 | 499.00 Mn |
| Jun 30, 2023 | 499.00 Mn |
| Mar 31, 2023 | 500.00 Mn |
| Dec 31, 2022 | 505.00 Mn |
| Sep 30, 2022 | 503.00 Mn |
| Jun 30, 2022 | 506.00 Mn |
| Mar 31, 2022 | 509.00 Mn |
| Dec 31, 2021 | 513.00 Mn |
| Sep 30, 2021 | 513.00 Mn |
API Access
Marsh & Mclennan Companies Shares Outstanding (Diluted) 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-diluted&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();