Marsh & Mclennan Companies (MRSH) Change in Accured Expenses (2009 - 2026)
Marsh & Mclennan Companies (MRSH) reported Change in Accured Expenses of $685 million for Q2 2026, up 30.7% from $524 million a year earlier.
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Analysis
Marsh & Mclennan Companies (MRSH) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Marsh & Mclennan Companies' Change in Accured Expenses came in at $257 million; for FY2025, it came in at $242 million, up 163.0% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $92 million in FY2024 (-52.8%), $195 million in FY2023 (+14.0%), $171 million in FY2022 (-70.2%) and $574 million in FY2021 (+235.7%).
- Five-year quarterly Change in Accured Expenses spans a low of -$2 billion in Q1 2026 and a high of $852 million in Q4 2025.
- Year over year, Change in Accured Expenses gained in five of the last six quarters, with growth averaging 11.3%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2021 (growth of 46.3%); the low point was Q3 2022 (a decline of 11.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$2 billion (Q1 2026), $852 million (Q4 2025) and $724 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.23 Bn | 80.81 Bn | 9.13 Bn | 108.00 Mn |
| 2 | Progressive | 129.78 Bn | 105.62 Bn | 9.04 Bn | 216.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.33 Bn | 76.83 Bn | - | 685.00 Mn |
| 4 | Travelers Companies | 78.56 Bn | 54.81 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.83 Bn | -21.05 Bn | - | - |
| 6 | Metlife | 64.38 Bn | -42.40 Bn | 7.82 Bn | - |
| 7 | Allstate | 60.57 Bn | 21.84 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 60.14 Bn | 54.55 Bn | - | 535.00 Mn |
| 9 | Aflac | 58.65 Bn | 33.87 Bn | 2.27 Bn | - |
| 10 | Aon | 58.65 Bn | 51.87 Bn | - | 51.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 685.00 Mn |
| Mar 31, 2026 | -2.00 Bn |
| Dec 31, 2025 | 852.00 Mn |
| Sep 30, 2025 | 724.00 Mn |
| Jun 30, 2025 | 524.00 Mn |
| Mar 31, 2025 | -1.86 Bn |
| Dec 31, 2024 | 674.00 Mn |
| Sep 30, 2024 | 644.00 Mn |
| Jun 30, 2024 | 553.00 Mn |
| Mar 31, 2024 | -1.78 Bn |
| Dec 31, 2023 | 653.00 Mn |
| Sep 30, 2023 | 643.00 Mn |
| Jun 30, 2023 | 569.00 Mn |
| Mar 31, 2023 | -1.67 Bn |
| Dec 31, 2022 | 622.00 Mn |
| Sep 30, 2022 | 541.00 Mn |
| Jun 30, 2022 | 536.00 Mn |
| Mar 31, 2022 | -1.53 Bn |
| Dec 31, 2021 | 594.00 Mn |
| Sep 30, 2021 | 610.00 Mn |
API Access
Marsh & Mclennan Companies Change in Accured 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=change-in-accured-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();