Marsh & Mclennan Companies (MRSH) Operating Income (2009 - 2026)
Marsh & Mclennan Companies (MRSH) reported Operating Income of $1.22 billion for Q3 2026, up 3.8% from $1.17 billion a year earlier but down 36.0% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Operating Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Marsh & Mclennan Companies' Operating Income came in at $6.09 billion, down 1.0% year-over-year; for FY2025, it came in at $6.22 billion, up 7.0% from FY2024.
- Operating Income has increased for three consecutive years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- By year, Operating Income came in at $5.82 billion in FY2024 (+10.1%), $5.28 billion in FY2023 (+23.4%), $4.28 billion in FY2022 (-0.7%) and $4.31 billion in FY2021 (+40.6%).
- Five-year quarterly Operating Income spans a low of $680 million in Q4 2022 and a high of $2.01 billion in Q1 2025.
- Year over year, Operating Income gained in seven of the last eight quarters, with growth averaging 3.3%.
- The high point for year-over-year Operating Income in five years was Q4 2021 (growth of 72.7%); the low point was Q4 2022 (a decline of 31.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.9 billion (Q2 2026), $1.75 billion (Q1 2026) and $1.22 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.40 Bn | 86.99 Bn | 9.13 Bn | -3.07 Bn |
| 2 | Progressive | 133.15 Bn | 108.98 Bn | 9.04 Bn | -10.36 Bn |
| 3 | Marsh & Mclennan Companies | 93.98 Bn | 86.14 Bn | - | 1.22 Bn |
| 4 | Travelers Companies | 85.20 Bn | 61.44 Bn | 6.23 Bn | -3.16 Bn |
| 5 | Manulife Financial | 77.20 Bn | -17.69 Bn | - | - |
| 6 | Arthur J. Gallagher | 68.99 Bn | 63.40 Bn | - | - |
| 7 | Allstate | 65.79 Bn | 27.06 Bn | 8.73 Bn | -5.72 Bn |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | -10.30 Bn |
| 9 | Aon | 65.23 Bn | 58.45 Bn | - | 915.00 Mn |
| 10 | Aflac | 61.33 Bn | 36.54 Bn | 2.27 Bn | -857.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.22 Bn |
| Jun 30, 2026 | 1.90 Bn |
| Mar 31, 2026 | 1.75 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 1.83 Bn |
| Mar 31, 2025 | 2.01 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.93 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 996.00 Mn |
| Jun 30, 2023 | 1.46 Bn |
| Mar 31, 2023 | 1.73 Bn |
| Dec 31, 2022 | 680.00 Mn |
| Sep 30, 2022 | 791.00 Mn |
| Jun 30, 2022 | 1.36 Bn |
| Mar 31, 2022 | 1.45 Bn |
| Dec 31, 2021 | 986.00 Mn |
API Access
Marsh & Mclennan Companies Operating Income 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-income&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();