Markel (MKL) Tax Provisions (2009 - 2026)
Markel (MKL) posted Tax Provisions of $76.62 million for Q3 2026, down 64.3% from $214.66 million a year earlier and down 77.0% from the prior quarter.
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Analysis
Markel (MKL) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Markel was $495.98 million, down 16.0% year-over-year; for FY2025, it came in at $580.3 million, down 26.6% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- In prior years, Markel's Tax Provisions was $790.29 million in FY2024 (+43.0%), $552.62 million in FY2023, -$48.21 million in FY2022 and $683.96 million in FY2021 (+305.5%).
- Quarterly Tax Provisions has run from a low of -$238.95 million in Q2 2022 to a high of $332.87 million in Q2 2026 over five years.
- On a year-over-year basis, Tax Provisions increased in two of the last seven quarters, with growth averaging 3.0%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 142.9%; the weakest was Q1 2025, with a decline of 90.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $332.87 million (Q2 2026), -$65.58 million (Q1 2026) and $152.07 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.04 Bn | 85.69 Bn | 8.67 Bn | 666.00 Mn |
| 2 | Progressive | 132.33 Bn | 107.86 Bn | 8.29 Bn | 694.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.77 Bn | 89.93 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 81.70 Bn | 59.18 Bn | 5.93 Bn | 452.00 Mn |
| 5 | Manulife Financial | 75.38 Bn | -20.12 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.26 Bn | 66.85 Bn | - | 109.00 Mn |
| 7 | Aon | 71.52 Bn | 50.73 Bn | - | 126.00 Mn |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | 256.00 Mn |
| 9 | Allstate | 63.89 Bn | 23.73 Bn | 7.41 Bn | 537.00 Mn |
| 10 | Markel | 24.19 Bn | -42.36 Bn | 2.88 Bn | 76.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.62 Mn |
| Jun 30, 2026 | 332.87 Mn |
| Mar 31, 2026 | -65.58 Mn |
| Dec 31, 2025 | 152.07 Mn |
| Sep 30, 2025 | 214.66 Mn |
| Jun 30, 2025 | 185.17 Mn |
| Mar 31, 2025 | 28.40 Mn |
| Dec 31, 2024 | 162.08 Mn |
| Sep 30, 2024 | 259.41 Mn |
| Jun 30, 2024 | 76.24 Mn |
| Mar 31, 2024 | 292.56 Mn |
| Dec 31, 2023 | 212.71 Mn |
| Sep 30, 2023 | 14.24 Mn |
| Jun 30, 2023 | 191.94 Mn |
| Mar 31, 2023 | 133.73 Mn |
| Dec 31, 2022 | 192.42 Mn |
| Sep 30, 2022 | 16.46 Mn |
| Jun 30, 2022 | -238.95 Mn |
| Mar 31, 2022 | -18.14 Mn |
| Dec 31, 2021 | 264.06 Mn |
API Access
Markel Tax Provisions 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=tax-provisions&ticker=MKL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();