Markel (MKL) Cost of Revenue (2023 - 2026)
Markel's Cost of Revenue was $1.28 billion in Q3 2026, up 1.7% from $1.25 billion a year earlier and up 7.5% from the prior quarter.
Markel (MKL) Cost of Revenue (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Markel's Cost of Revenue was $4.88 billion through Sep 30, 2026, down 4.0% year-over-year.
- The Q3 2026 figure marks the highest quarterly Cost of Revenue since Q2 2025.
- Compared with a year earlier, Cost of Revenue was higher in two of the last six quarters, with an average decline of 2.3%.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2025 (growth of 4.5%); the worst was Q3 2024 (a decline of 8.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.04 Bn | 85.69 Bn | 8.67 Bn | 7.53 Bn |
| 2 | Progressive | 132.33 Bn | 107.86 Bn | 8.29 Bn | 14.90 Bn |
| 3 | Marsh & Mclennan Companies | 97.77 Bn | 89.93 Bn | - | - |
| 4 | Travelers Companies | 81.70 Bn | 59.18 Bn | 5.93 Bn | 6.49 Bn |
| 5 | Manulife Financial | 75.38 Bn | -20.12 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.26 Bn | 66.85 Bn | - | - |
| 7 | Aon | 71.52 Bn | 50.73 Bn | - | - |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | 11.34 Bn |
| 9 | Allstate | 63.89 Bn | 23.73 Bn | 7.41 Bn | 9.94 Bn |
| 10 | Markel | 24.19 Bn | -42.36 Bn | 2.88 Bn | 1.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.28 Bn |
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.23 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Sep 30, 2023 | 1.40 Bn |
| Jun 30, 2023 | 1.19 Bn |
Markel Cost of Revenue 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=cost-of-revenue&ticker=MKL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();