Marsh & Mclennan Companies (MRSH) Cash & Equivalents Growth (3y) (2012 - 2026)
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Analysis
Marsh & Mclennan Companies (MRSH) Cash & Equivalents Growth (3y) (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. Growth (3y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 1.81% |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 3.71% |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | -41.55% |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 0.52% |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 13.49% |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | 24.84% |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | 25.54% |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | -58.45% |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | -16.81% |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | 20.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.81% |
| Mar 31, 2026 | 126.85% |
| Dec 31, 2025 | 2.48% |
| Sep 30, 2025 | 146.42% |
| Jun 30, 2025 | 135.49% |
| Mar 31, 2025 | 146.61% |
| Dec 31, 2024 | 86.01% |
| Sep 30, 2024 | 104.31% |
| Jun 30, 2024 | 134.81% |
| Mar 31, 2024 | 117.09% |
| Dec 31, 2023 | 72.88% |
| Sep 30, 2023 | 70.46% |
| Jun 30, 2023 | 89.07% |
| Mar 31, 2023 | -12.08% |
| Dec 31, 2022 | 109.76% |
| Sep 30, 2022 | -12.88% |
| Jun 30, 2022 | -11.11% |
| Mar 31, 2022 | -11.59% |
| Dec 31, 2021 | 18.01% |
| Sep 30, 2021 | 13.70% |
API Access
Marsh & Mclennan Companies Cash & Equivalents Growth (3y) 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=cash-and-equivalents-growth-3y&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-growth-3y", "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=cash-and-equivalents-growth-3y&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();