Markel (MKL) Interest Expenses (2009 - 2026)
Analysis
Markel (MKL) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.04 Bn | 85.69 Bn | 8.67 Bn | 204.00 Mn |
| 2 | Progressive | 132.33 Bn | 107.86 Bn | 8.29 Bn | 87.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.77 Bn | 89.93 Bn | - | 248.00 Mn |
| 4 | Travelers Companies | 81.70 Bn | 59.18 Bn | 5.93 Bn | 118.00 Mn |
| 5 | Manulife Financial | 75.38 Bn | -20.12 Bn | - | -565.04 Mn |
| 6 | Arthur J. Gallagher | 72.26 Bn | 66.85 Bn | - | 168.00 Mn |
| 7 | Aon | 71.52 Bn | 50.73 Bn | - | 206.00 Mn |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | 3.07 Bn |
| 9 | Allstate | 63.89 Bn | 23.73 Bn | 7.41 Bn | 97.00 Mn |
| 10 | Markel | 24.19 Bn | -42.36 Bn | 2.88 Bn | 50.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.86 Mn |
| Jun 30, 2026 | 52.39 Mn |
| Mar 31, 2026 | 50.89 Mn |
| Dec 31, 2025 | 50.02 Mn |
| Sep 30, 2025 | 50.68 Mn |
| Jun 30, 2025 | 53.08 Mn |
| Mar 31, 2025 | 52.14 Mn |
| Dec 31, 2024 | 52.79 Mn |
| Sep 30, 2024 | 53.36 Mn |
| Jun 30, 2024 | 52.60 Mn |
| Mar 31, 2024 | 45.55 Mn |
| Dec 31, 2023 | 43.87 Mn |
| Sep 30, 2023 | 44.55 Mn |
| Jun 30, 2023 | 47.22 Mn |
| Mar 31, 2023 | 49.44 Mn |
| Dec 31, 2022 | 48.97 Mn |
| Sep 30, 2022 | 47.35 Mn |
| Jun 30, 2022 | 50.05 Mn |
| Mar 31, 2022 | 49.69 Mn |
| Dec 31, 2021 | 48.17 Mn |
API Access
Markel 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=MKL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MKL", "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=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();