Marsh & Mclennan Companies (MRSH) Cash & Equivalents (2009 - 2026)
Marsh & Mclennan Companies (MRSH) posted Cash & Equivalents of $1.84 billion for Q3 2026, down 26.6% from $2.51 billion a year earlier but up 8.4% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Marsh & Mclennan Companies' Cash & Equivalents came in at $2.69 billion, up 12.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Marsh & Mclennan Companies' Cash & Equivalents was $2.4 billion in FY2024 (-28.6%), $3.36 billion in FY2023 (+132.9%), $1.44 billion in FY2022 (-17.7%) and $1.75 billion in FY2021 (-16.1%).
- Quarterly Cash & Equivalents has run from a low of $772 million in Q1 2022 to a high of $3.36 billion in Q4 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 261.7%; the weakest was Q3 2022, with a decline of 42.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.7 billion (Q2 2026), $1.61 billion (Q1 2026) and $2.69 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - | 1.84 Bn |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - | - |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - | 1.39 Bn |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - | 1.06 Bn |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn | - |
| 10 | Metlife | 63.02 Bn | -43.46 Bn | 7.82 Bn | 19.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.84 Bn |
| Jun 30, 2026 | 1.70 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | 2.69 Bn |
| Sep 30, 2025 | 2.51 Bn |
| Jun 30, 2025 | 1.68 Bn |
| Mar 31, 2025 | 1.60 Bn |
| Dec 31, 2024 | 2.40 Bn |
| Sep 30, 2024 | 1.80 Bn |
| Jun 30, 2024 | 1.65 Bn |
| Mar 31, 2024 | 1.45 Bn |
| Dec 31, 2023 | 3.36 Bn |
| Sep 30, 2023 | 2.90 Bn |
| Jun 30, 2023 | 1.17 Bn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Sep 30, 2022 | 802.00 Mn |
| Jun 30, 2022 | 909.00 Mn |
| Mar 31, 2022 | 772.00 Mn |
| Dec 31, 2021 | 1.75 Bn |
API Access
Marsh & Mclennan Companies Cash & Equivalents 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&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();