Markel (MKL) Total Liabilities (2009 - 2026)
Markel (MKL) posted Total Liabilities of $53.57 billion for Q3 2026, up 8.6% from $49.33 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Markel (MKL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Markel's Total Liabilities came in at $50.31 billion, up 11.9% from FY2024.
- Annual Total Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In prior years, Markel's Total Liabilities was $44.97 billion in FY2024 (+12.5%), $39.99 billion in FY2023 (+9.3%), $36.58 billion in FY2022 (+8.4%) and $33.74 billion in FY2021 (+16.8%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 24 quarters, with growth averaging 10.2% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 5.7% (Q2 2026) and 16.8% (Q1 2022) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $52.26 billion (Q2 2026), $50.47 billion (Q1 2026) and $50.31 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.04 Bn | 85.69 Bn | 8.67 Bn | 205.00 Bn |
| 2 | Progressive | 132.33 Bn | 107.86 Bn | 8.29 Bn | 93.26 Bn |
| 3 | Marsh & Mclennan Companies | 97.77 Bn | 89.93 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 81.70 Bn | 59.18 Bn | 5.93 Bn | 113.09 Bn |
| 5 | Manulife Financial | 75.38 Bn | -20.12 Bn | - | 723.97 Bn |
| 6 | Arthur J. Gallagher | 72.26 Bn | 66.85 Bn | - | 54.99 Bn |
| 7 | Aon | 71.52 Bn | 50.73 Bn | - | 54.94 Bn |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | 731.63 Bn |
| 9 | Allstate | 63.89 Bn | 23.73 Bn | 7.41 Bn | 95.54 Bn |
| 10 | Markel | 24.19 Bn | -42.36 Bn | 2.88 Bn | 53.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 53.57 Bn |
| Jun 30, 2026 | 52.26 Bn |
| Mar 31, 2026 | 50.47 Bn |
| Dec 31, 2025 | 50.31 Bn |
| Sep 30, 2025 | 49.33 Bn |
| Jun 30, 2025 | 49.45 Bn |
| Mar 31, 2025 | 47.43 Bn |
| Dec 31, 2024 | 44.97 Bn |
| Sep 30, 2024 | 45.14 Bn |
| Jun 30, 2024 | 43.76 Bn |
| Mar 31, 2024 | 41.47 Bn |
| Dec 31, 2023 | 39.99 Bn |
| Sep 30, 2023 | 38.69 Bn |
| Jun 30, 2023 | 37.95 Bn |
| Mar 31, 2023 | 37.15 Bn |
| Dec 31, 2022 | 36.58 Bn |
| Sep 30, 2022 | 36.06 Bn |
| Jun 30, 2022 | 35.18 Bn |
| Mar 31, 2022 | 34.88 Bn |
| Dec 31, 2021 | 33.74 Bn |
API Access
Markel Total Liabilities 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=total-liabilities&ticker=MKL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();