Markel (MKL) Total Non-Current Liabilities (2009 - 2026)
Markel's Total Non-Current Liabilities came in at $46.61 billion for Q2 2026, up 4.0% from $44.82 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Markel (MKL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Markel's Total Non-Current Liabilities was $44.59 billion, up 11.5% from FY2024.
- Total Non-Current Liabilities has increased in each of the last ten years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $40 billion in FY2024 (+10.9%), $36.06 billion in FY2023 (+8.9%), $33.12 billion in FY2022 (+10.7%) and $29.9 billion in FY2021 (+15.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Non-Current Liabilities has increased for 23 consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 4.0% in Q2 2026 to 16.3% in Q1 2022.
- Business Quant data shows MKL's Total Non-Current Liabilities at $45.12 billion (Q1 2026), $44.59 billion (Q4 2025) and $44.59 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 729.04 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 42.27 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 55.80 Bn |
| 10 | Markel | 21.58 Bn | -44.62 Bn | 2.83 Bn | 46.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.61 Bn |
| Mar 31, 2026 | 45.12 Bn |
| Dec 31, 2025 | 44.59 Bn |
| Sep 30, 2025 | 44.59 Bn |
| Jun 30, 2025 | 44.82 Bn |
| Mar 31, 2025 | 42.98 Bn |
| Dec 31, 2024 | 40.00 Bn |
| Sep 30, 2024 | 40.71 Bn |
| Jun 30, 2024 | 39.78 Bn |
| Mar 31, 2024 | 37.51 Bn |
| Dec 31, 2023 | 36.06 Bn |
| Sep 30, 2023 | 35.10 Bn |
| Jun 30, 2023 | 34.34 Bn |
| Mar 31, 2023 | 33.74 Bn |
| Dec 31, 2022 | 33.12 Bn |
| Sep 30, 2022 | 32.77 Bn |
| Jun 30, 2022 | 31.88 Bn |
| Mar 31, 2022 | 31.13 Bn |
| Dec 31, 2021 | 29.90 Bn |
| Sep 30, 2021 | 29.13 Bn |
API Access
Markel Total Non-Current 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-non-current-liabilities&ticker=MKL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();