Marsh & Mclennan Companies (MRSH) Amortization of Intangibles (2009 - 2026)
Marsh & Mclennan Companies (MRSH) reported Amortization of Intangibles of $142 million for Q3 2026, up 6.8% from $133 million a year earlier and up 3.6% from the prior quarter.
Marsh & Mclennan Companies (MRSH) Amortization of Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Marsh & Mclennan Companies' Amortization of Intangibles came in at $554 million, up 6.5% year-over-year; for FY2025, it was $549 million, up 45.6% from FY2024.
- Amortization of Intangibles has increased for three consecutive years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- By year, Amortization of Intangibles came in at $377 million in FY2024 (+9.9%), $343 million in FY2023 (+1.5%), $338 million in FY2022 (-7.4%) and $365 million in FY2021 (+4.0%).
- The Q3 2026 figure ranks as the highest quarterly Amortization of Intangibles in data going back to Q3 2009.
- Year over year, Amortization of Intangibles gained in six of the last eight quarters, with growth averaging 27.0%.
- The high point for year-over-year Amortization of Intangibles in five years was Q2 2025 (growth of 57.3%); the low point was Q1 2022 (a decline of 9.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $137 million (Q2 2026), $138 million (Q1 2026) and $137 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 74.00 Mn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 142.00 Mn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | 123.58 Mn |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | - |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 175.00 Mn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | - |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | - |
| 10 | Aflac | 61.62 Bn | 37.98 Bn | 1.87 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 142.00 Mn |
| Jun 30, 2026 | 137.00 Mn |
| Mar 31, 2026 | 138.00 Mn |
| Dec 31, 2025 | 137.00 Mn |
| Sep 30, 2025 | 133.00 Mn |
| Jun 30, 2025 | 140.00 Mn |
| Mar 31, 2025 | 139.00 Mn |
| Dec 31, 2024 | 108.00 Mn |
| Sep 30, 2024 | 90.00 Mn |
| Jun 30, 2024 | 89.00 Mn |
| Mar 31, 2024 | 90.00 Mn |
| Dec 31, 2023 | 86.00 Mn |
| Sep 30, 2023 | 85.00 Mn |
| Jun 30, 2023 | 87.00 Mn |
| Mar 31, 2023 | 85.00 Mn |
| Dec 31, 2022 | 80.00 Mn |
| Sep 30, 2022 | 84.00 Mn |
| Jun 30, 2022 | 83.00 Mn |
| Mar 31, 2022 | 91.00 Mn |
| Dec 31, 2021 | 87.00 Mn |
Marsh & Mclennan Companies Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=MRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();