Marsh & Mclennan Companies (MRSH) Other Operating Expenses (2009 - 2026)
Marsh & Mclennan Companies (MRSH) recorded Other Operating Expenses of $1.57 billion in Q3 2026, up 22.0% from $1.29 billion a year earlier and up 15.1% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Marsh & Mclennan Companies' Other Operating Expenses came in at $6.09 billion as of Sep 30, 2026, up 20.8% year-over-year; for FY2025, it came in at $5.18 billion, up 11.5% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $4.65 billion in FY2024 (+6.7%), $4.36 billion in FY2023 (-0.3%), $4.37 billion in FY2022 (+7.0%) and $4.08 billion in FY2021 (+1.3%).
- Quarterly Other Operating Expenses has ranged from $991 million in Q1 2023 to $1.71 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 11 consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 42.0% in Q1 2026, against a decline of 9.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.36 billion (Q2 2026), $1.71 billion (Q1 2026) and $1.44 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 138.54 Bn | 85.12 Bn | 9.13 Bn |
| 2 | Progressive | 132.52 Bn | 108.35 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 94.26 Bn | 86.42 Bn | - |
| 4 | Travelers Companies | 84.42 Bn | 60.67 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.91 Bn | -18.97 Bn | - |
| 6 | Arthur J. Gallagher | 69.11 Bn | 63.52 Bn | - |
| 7 | Allstate | 64.98 Bn | 26.25 Bn | 8.73 Bn |
| 8 | Metlife | 64.85 Bn | -41.93 Bn | 7.82 Bn |
| 9 | Aon | 64.80 Bn | 58.01 Bn | - |
| 10 | Aflac | 61.06 Bn | 36.27 Bn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.57 Bn |
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.71 Bn |
| Dec 31, 2025 | 1.44 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.25 Bn |
| Mar 31, 2025 | 1.21 Bn |
| Dec 31, 2024 | 1.30 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 991.00 Mn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.00 Bn |
| Dec 31, 2021 | 1.25 Bn |
API Access
Marsh & Mclennan Companies Other 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=other-operating-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();