Hartford Insurance (HIG) Tax Provisions (2009 - 2026)
Hartford Insurance (HIG) recorded Tax Provisions of $251 million in Q2 2026, up 6.4% from $236 million a year earlier and up 24.9% from the prior quarter.
Hartford Insurance (HIG) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Hartford Insurance's Tax Provisions came in at $972 million as of Jun 30, 2026, up 22.3% year-over-year; for FY2025, it came in at $924 million, up 25.2% from FY2024.
- Annual Tax Provisions has increased for three straight years, with a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $738 million in FY2024 (+26.4%), $584 million in FY2023 (+31.8%), $443 million in FY2022 (-17.0%) and $534 million in FY2021 (+39.4%).
- Quarterly Tax Provisions has ranged from $92 million in Q3 2022 to $282 million in Q4 2025 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 20.5% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 81.5% in Q1 2022, against a decline of 46.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $201 million (Q1 2026), $282 million (Q4 2025) and $238 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 742.00 Mn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 898.00 Mn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 559.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 90.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 871.00 Mn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 159.00 Mn |
| 10 | Hartford Insurance | 37.14 Bn | 20.83 Bn | 3.18 Bn | 251.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 251.00 Mn |
| Mar 31, 2026 | 201.00 Mn |
| Dec 31, 2025 | 282.00 Mn |
| Sep 30, 2025 | 238.00 Mn |
| Jun 30, 2025 | 236.00 Mn |
| Mar 31, 2025 | 153.00 Mn |
| Dec 31, 2024 | 221.00 Mn |
| Sep 30, 2024 | 185.00 Mn |
| Jun 30, 2024 | 174.00 Mn |
| Mar 31, 2024 | 158.00 Mn |
| Dec 31, 2023 | 179.00 Mn |
| Sep 30, 2023 | 162.00 Mn |
| Jun 30, 2023 | 125.00 Mn |
| Mar 31, 2023 | 118.00 Mn |
| Dec 31, 2022 | 143.00 Mn |
| Sep 30, 2022 | 92.00 Mn |
| Jun 30, 2022 | 110.00 Mn |
| Mar 31, 2022 | 98.00 Mn |
| Dec 31, 2021 | 174.00 Mn |
| Sep 30, 2021 | 101.00 Mn |
Hartford Insurance 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=HIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "HIG", "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=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();