Markel (MKL) Cost of Revenue (2023 - 2026)
Markel's Cost of Revenue was $1.19 billion in Q2 2026, down 7.8% from $1.29 billion a year earlier but up 1.7% from the prior quarter.
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Analysis
Markel (MKL) Cost of Revenue (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Markel's Cost of Revenue was $4.9 billion through Jun 30, 2026, down 3.4% year-over-year.
- Quarterly Cost of Revenue has moved between $1.17 billion (Q1 2026) and $1.4 billion (Q3 2023) over five years.
- Compared with a year earlier, Cost of Revenue was higher in 1 of the last six quarters, with an average decline of 4.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 45.95 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 6.69 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 14.57 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 5.92 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 11.34 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | Markel | 21.53 Bn | -44.68 Bn | 2.83 Bn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
API Access
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_KEYimport 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();