Markel (MKL) Non Operating Interest Expenses (2009 - 2026)
Markel (MKL) reported Non Operating Interest Expenses of $50.86 million for Q3 2026, up 0.4% from $50.68 million a year earlier but down 2.9% from the prior quarter.
Markel (MKL) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Markel's Non Operating Interest Expenses came in at $204.16 million, down 2.2% year-over-year; for FY2025, it came in at $205.91 million, up 0.8% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $204.3 million in FY2024 (+10.4%), $185.08 million in FY2023 (-5.6%), $196.06 million in FY2022 (+6.8%) and $183.58 million in FY2021 (+3.4%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $43.87 million in Q4 2023 and a high of $53.36 million in Q3 2024.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with growth averaging 2.8%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2024 (growth of 20.4%); the low point was Q4 2023 (a decline of 10.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $52.39 million (Q2 2026), $50.89 million (Q1 2026) and $50.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | - |
| 9 | Allstate | 63.89 Bn | 23.73 Bn | 7.41 Bn | - |
| 10 | Markel | 24.19 Bn | -42.36 Bn | 2.88 Bn | 50.86 Mn |
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 |
Markel Non Operating 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=non-operating-interest-expenses&ticker=MKL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();