Marsh & Mclennan Companies (MRSH) Operating Expenses (2009 - 2026)
Marsh & Mclennan Companies (MRSH) posted Operating Expenses of $5.51 billion for Q2 2026, up 7.0% from $5.15 billion a year earlier but down 5.8% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Marsh & Mclennan Companies was $21.91 billion, up 11.1% year-over-year; for FY2025, it came in at $20.76 billion, up 11.4% from FY2024.
- Annual Operating Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Marsh & Mclennan Companies' Operating Expenses was $18.64 billion in FY2024 (+6.8%), $17.45 billion in FY2023 (+6.2%), $16.44 billion in FY2022 (+6.0%) and $15.51 billion in FY2021 (+9.5%).
- Quarterly Operating Expenses has run from a low of $3.84 billion in Q3 2021 to a high of $5.84 billion in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 23 quarters, with growth averaging 10.4% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 2.3% (Q1 2023) and 15.6% (Q1 2026) over the last five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.84 billion (Q1 2026), $5.38 billion (Q4 2025) and $5.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.30 Bn | 80.89 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 130.32 Bn | 106.15 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 85.17 Bn | 76.66 Bn | - | 5.51 Bn |
| 4 | Travelers Companies | 78.40 Bn | 54.65 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - | -902.21 Mn |
| 6 | Metlife | 64.41 Bn | -42.37 Bn | 7.82 Bn | 18.12 Bn |
| 7 | Allstate | 60.46 Bn | 21.73 Bn | 8.73 Bn | 14.45 Bn |
| 8 | Arthur J. Gallagher | 60.04 Bn | 54.44 Bn | - | 3.59 Bn |
| 9 | Aon | 58.69 Bn | 51.91 Bn | - | 3.33 Bn |
| 10 | Aflac | 58.66 Bn | 33.88 Bn | 2.27 Bn | 3.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 3.84 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();