Hartford Insurance (HIG) Total Liabilities (2009 - 2026)
Hartford Insurance's Total Liabilities was $68.35 billion in Q2 2026, up 3.4% from $66.12 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
Hartford Insurance (HIG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Hartford Insurance came in at $67.05 billion, up 4.0% from FY2024.
- Total Liabilities has now increased for seven consecutive years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $64.47 billion in FY2024 (+4.9%), $61.45 billion in FY2023 (+3.6%), $59.33 billion in FY2022 (+1.0%) and $58.77 billion in FY2021 (+5.8%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q1 2018.
- Compared with a year earlier, Total Liabilities has increased for 24 straight quarters, with growth averaging 4.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 0.6% (Q3 2022) to 7.2% (Q3 2021).
- Per Business Quant data, HIG's Total Liabilities in the three quarters before Q2 2026 was $67.43 billion (Q1 2026), $67.05 billion (Q4 2025) and $66.55 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 731.27 Bn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 58.06 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 91.06 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 43.66 Bn |
| 10 | Hartford Insurance | 37.26 Bn | 20.95 Bn | 3.18 Bn | 68.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.35 Bn |
| Mar 31, 2026 | 67.43 Bn |
| Dec 31, 2025 | 67.05 Bn |
| Sep 30, 2025 | 66.55 Bn |
| Jun 30, 2025 | 66.12 Bn |
| Mar 31, 2025 | 65.46 Bn |
| Dec 31, 2024 | 64.47 Bn |
| Sep 30, 2024 | 64.21 Bn |
| Jun 30, 2024 | 63.37 Bn |
| Mar 31, 2024 | 62.24 Bn |
| Dec 31, 2023 | 61.45 Bn |
| Sep 30, 2023 | 60.84 Bn |
| Jun 30, 2023 | 59.74 Bn |
| Mar 31, 2023 | 59.91 Bn |
| Dec 31, 2022 | 59.33 Bn |
| Sep 30, 2022 | 58.80 Bn |
| Jun 30, 2022 | 58.16 Bn |
| Mar 31, 2022 | 59.36 Bn |
| Dec 31, 2021 | 58.77 Bn |
| Sep 30, 2021 | 58.43 Bn |
API Access
Hartford Insurance 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=HIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();