Marsh & Mclennan Companies (MRSH) Long-Term Debt Repayments (2009 - 2026)
Marsh & Mclennan Companies' Long-Term Debt Repayments came in at $637 million for Q3 2026, compared with $4 million a year earlier.
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Analysis
Marsh & Mclennan Companies (MRSH) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Marsh & Mclennan Companies reported Long-Term Debt Repayments of $1.25 billion, up 141.7% year-over-year; for FY2025, it came in at $519 million, down 67.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -27.1% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $1.62 billion in FY2024 (+507.9%), $266 million in FY2023 (-27.1%), $365 million in FY2022 (-64.1%) and $1.02 billion in FY2021 (-59.6%).
- The Q3 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q1 2024.
- Year-over-year, Long-Term Debt Repayments increased in two of the last seven quarters, with an average decline of 28.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2022 (growth of 100.0%), and the weakest in Q2 2022 (a decline of 99.2%).
- Business Quant data shows MRSH's Long-Term Debt Repayments at $5 million (Q2 2026), $605 million (Q1 2026) and $5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 142.18 Bn | 87.82 Bn | 8.67 Bn | - |
| 2 | Progressive | 133.57 Bn | 133.57 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 97.69 Bn | 89.85 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 83.65 Bn | 83.65 Bn | - | - |
| 5 | Manulife Financial | 76.52 Bn | -18.37 Bn | - | - |
| 6 | Arthur J. Gallagher | 70.86 Bn | 70.86 Bn | - | - |
| 7 | Aon | 70.53 Bn | 49.74 Bn | - | - |
| 8 | Allstate | 67.09 Bn | 28.36 Bn | 8.73 Bn | - |
| 9 | Metlife | 64.94 Bn | -41.84 Bn | 7.82 Bn | 230.00 Mn |
| 10 | Aflac | 63.14 Bn | 38.35 Bn | 2.27 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 637.00 Mn |
| Jun 30, 2026 | 5.00 Mn |
| Mar 31, 2026 | 605.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 505.00 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 605.00 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Dec 31, 2023 | 254.00 Mn |
| Sep 30, 2023 | 4.00 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 351.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 504.00 Mn |
API Access
Marsh & Mclennan Companies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();