Marsh & Mclennan Companies (MRSH) Total Liabilities (2009 - 2026)
Marsh & Mclennan Companies (MRSH) reported Total Liabilities of $44.25 billion for Q2 2026, up 3.9% from $42.58 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Marsh & Mclennan Companies posted Total Liabilities of $43.4 billion, up 1.0% from FY2024.
- Total Liabilities has increased for 12 consecutive years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $42.95 billion in FY2024 (+20.4%), $35.66 billion in FY2023 (+6.9%), $33.37 billion in FY2022 (+1.8%) and $32.79 billion in FY2021 (+37.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q2 2009.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 11.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2023 (growth of 63.8%); the low point was Q3 2022 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.75 billion (Q1 2026), $43.4 billion (Q4 2025) and $43.42 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 731.27 Bn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 58.06 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 91.06 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 43.66 Bn |
| 10 | Aflac | 60.55 Bn | 35.76 Bn | 2.27 Bn | 85.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.90 Bn |
| Jun 30, 2026 | 44.25 Bn |
| Mar 31, 2026 | 43.75 Bn |
| Dec 31, 2025 | 43.40 Bn |
| Sep 30, 2025 | 43.42 Bn |
| Jun 30, 2025 | 42.58 Bn |
| Mar 31, 2025 | 42.75 Bn |
| Dec 31, 2024 | 42.95 Bn |
| Sep 30, 2024 | 35.98 Bn |
| Jun 30, 2024 | 35.03 Bn |
| Mar 31, 2024 | 34.95 Bn |
| Dec 31, 2023 | 35.66 Bn |
| Sep 30, 2023 | 36.41 Bn |
| Jun 30, 2023 | 34.43 Bn |
| Mar 31, 2023 | 23.16 Bn |
| Dec 31, 2022 | 33.37 Bn |
| Sep 30, 2022 | 22.23 Bn |
| Jun 30, 2022 | 22.52 Bn |
| Mar 31, 2022 | 22.53 Bn |
| Dec 31, 2021 | 32.79 Bn |
API Access
Marsh & Mclennan Companies Total Liabilities 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=total-liabilities&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();