Marsh & Mclennan Companies (MRSH) Debt Ratio (2009 - 2026)
Marsh & Mclennan Companies' (MRSH) quarterly Debt Ratio came in at 0.36 in Q2 2026, up 2.25% on a YoY basis from 0.35 in Q2 2025, and down 2.11% quarter-over-quarter from 0.36 in Q1 2026.
Marsh & Mclennan Companies (MRSH) Debt Ratio (2009 - 2026) Analysis & Trends
Marsh & Mclennan Companies (MRSH) has reported Debt Ratio for 18 consecutive years, with 0.36 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Debt Ratio rose 2.25% year-over-year to 0.36; the trailing twelve-month figure through Jun 2026 stood at 0.36 (up 2.25% YoY), and the FY2025 full-year result was 0.36, down 1.97% from the prior year.
- Debt Ratio eased to 0.36 in Q2 2026 per MRSH's latest filing, from 0.36 in the prior quarter.
- Across five years, Debt Ratio topped out at 0.41 in Q1 2023 and bottomed at 0.27 in Q3 2024.
- Historically, Debt Ratio has averaged 0.34 across 5 years, with a median of 0.35 in 2025.
- The sharpest annual moves came in 2024 and 2025: Debt Ratio decreased 25.9% in 2024, then jumped 32.28% in 2025.
- Over 5 years, Debt Ratio stood at 0.27 in 2022, then rose by 15.14% to 0.31 in 2023, then gained by 15.39% to 0.36 in 2024, then fell by 1.97% to 0.36 in 2025, then increased by 0.04% to 0.36 in 2026.
- According to Business Quant data, Debt Ratio over the past three periods registered 0.36, 0.36, and 0.36 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 0.36 |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 0.28 |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 0.18 |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 0.21 |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 0.26 |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | 10.42 |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 0.30 |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | 0.10 |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | 0.37 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.36 |
| Mar 31, 2026 | 0.36 |
| Dec 31, 2025 | 0.36 |
| Sep 30, 2025 | 0.35 |
| Jun 30, 2025 | 0.35 |
| Mar 31, 2025 | 0.37 |
| Dec 31, 2024 | 0.36 |
| Sep 30, 2024 | 0.27 |
| Jun 30, 2024 | 0.29 |
| Mar 31, 2024 | 0.31 |
| Dec 31, 2023 | 0.31 |
| Sep 30, 2023 | 0.32 |
| Jun 30, 2023 | 0.31 |
| Mar 31, 2023 | 0.41 |
| Dec 31, 2022 | 0.27 |
| Sep 30, 2022 | 0.37 |
| Jun 30, 2022 | 0.36 |
| Mar 31, 2022 | 0.36 |
| Dec 31, 2021 | 0.25 |
| Sep 30, 2021 | 0.34 |
Marsh & Mclennan Companies Debt Ratio 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=debt-ratio&ticker=MRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();