Marsh & Mclennan Companies (MRSH) Cash & Equivalents (2009 - 2026)
Marsh & Mclennan Companies (MRSH) posted Cash & Equivalents of $1.7 billion for Q2 2026, up 1.4% from $1.68 billion a year earlier and up 5.5% from the prior quarter.
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 has increased in each of the last six quarters, with an average decline of 0.1% over the last eight quarters.
- 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 $1.61 billion (Q1 2026), $2.69 billion (Q4 2025) and $2.51 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.72 Bn | 81.30 Bn | 9.13 Bn | 2.75 Bn |
| 2 | Progressive | 130.41 Bn | 106.24 Bn | 9.04 Bn | 193.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.49 Bn | 76.98 Bn | - | 1.70 Bn |
| 4 | Travelers Companies | 78.59 Bn | 54.84 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.78 Bn | -21.10 Bn | - | - |
| 6 | Metlife | 64.71 Bn | -42.07 Bn | 7.82 Bn | 19.30 Bn |
| 7 | Allstate | 60.59 Bn | 21.86 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 60.16 Bn | 54.57 Bn | - | 1.39 Bn |
| 9 | Aon | 58.80 Bn | 52.02 Bn | - | 1.06 Bn |
| 10 | Aflac | 58.68 Bn | 33.89 Bn | 2.27 Bn | 6.12 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.40 Bn |
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_KEY
import 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();