Marsh & Mclennan Companies (MRSH) Operating Expenses (2009 - 2026)
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Analysis
Marsh & Mclennan Companies (MRSH) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 142.34 Bn | 87.98 Bn | 8.67 Bn | 12.79 Bn |
| 2 | Progressive | 136.64 Bn | 136.64 Bn | - | 19.96 Bn |
| 3 | Marsh & Mclennan Companies | 98.05 Bn | 90.21 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 84.07 Bn | 84.07 Bn | - | 10.04 Bn |
| 5 | Manulife Financial | 76.36 Bn | -18.52 Bn | - | 902.21 Mn |
| 6 | Arthur J. Gallagher | 71.85 Bn | 71.85 Bn | - | - |
| 7 | Aon | 70.83 Bn | 50.04 Bn | - | 3.29 Bn |
| 8 | Allstate | 67.61 Bn | 28.88 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Metlife | 64.94 Bn | -41.84 Bn | 7.82 Bn | 18.12 Bn |
| 10 | Aflac | 62.72 Bn | 37.94 Bn | 2.27 Bn | 3.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.65 Bn |
| Jun 30, 2026 | 5.51 Bn |
| Mar 31, 2026 | 5.84 Bn |
| Dec 31, 2025 | 5.38 Bn |
| Sep 30, 2025 | 5.18 Bn |
| Jun 30, 2025 | 5.15 Bn |
| Mar 31, 2025 | 5.06 Bn |
| Dec 31, 2024 | 4.93 Bn |
| Sep 30, 2024 | 4.59 Bn |
| Jun 30, 2024 | 4.58 Bn |
| Mar 31, 2024 | 4.55 Bn |
| Dec 31, 2023 | 4.45 Bn |
| Sep 30, 2023 | 4.39 Bn |
| Jun 30, 2023 | 4.42 Bn |
| Mar 31, 2023 | 4.20 Bn |
| Dec 31, 2022 | 4.34 Bn |
| Sep 30, 2022 | 3.98 Bn |
| Jun 30, 2022 | 4.02 Bn |
| Mar 31, 2022 | 4.10 Bn |
| Dec 31, 2021 | 4.15 Bn |
API Access
Marsh & Mclennan Companies Operating Expenses 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=operating-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();