Marsh & Mclennan Companies (MRSH) Interest Expenses (2009 - 2026)
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Analysis
Marsh & Mclennan Companies (MRSH) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 142.34 Bn | 87.98 Bn | 8.67 Bn | 204.00 Mn |
| 2 | Progressive | 136.64 Bn | 136.64 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 98.05 Bn | 90.21 Bn | - | 248.00 Mn |
| 4 | Travelers Companies | 84.07 Bn | 84.07 Bn | - | - |
| 5 | Manulife Financial | 76.36 Bn | -18.52 Bn | - | -280.50 Mn |
| 6 | Arthur J. Gallagher | 71.85 Bn | 71.85 Bn | - | - |
| 7 | Aon | 70.83 Bn | 50.04 Bn | - | 206.00 Mn |
| 8 | Allstate | 67.61 Bn | 28.88 Bn | 8.73 Bn | 96.00 Mn |
| 9 | Metlife | 64.94 Bn | -41.84 Bn | 7.82 Bn | 3.07 Bn |
| 10 | Aflac | 62.72 Bn | 37.94 Bn | 2.27 Bn | 64.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 248.00 Mn |
| Jun 30, 2026 | 250.00 Mn |
| Mar 31, 2026 | 240.00 Mn |
| Dec 31, 2025 | 235.00 Mn |
| Sep 30, 2025 | 237.00 Mn |
| Jun 30, 2025 | 243.00 Mn |
| Mar 31, 2025 | 245.00 Mn |
| Dec 31, 2024 | 231.00 Mn |
| Sep 30, 2024 | 154.00 Mn |
| Jun 30, 2024 | 156.00 Mn |
| Mar 31, 2024 | 159.00 Mn |
| Dec 31, 2023 | 151.00 Mn |
| Sep 30, 2023 | 145.00 Mn |
| Jun 30, 2023 | 146.00 Mn |
| Mar 31, 2023 | 136.00 Mn |
| Dec 31, 2022 | 127.00 Mn |
| Sep 30, 2022 | 118.00 Mn |
| Jun 30, 2022 | 114.00 Mn |
| Mar 31, 2022 | 110.00 Mn |
| Dec 31, 2021 | 109.00 Mn |
API Access
Marsh & Mclennan Companies Interest 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=interest-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();