Hartford Insurance (HIG) Total Liabilities (2009 - 2026)
Hartford Insurance's Total Liabilities was $68.27 billion in Q3 2026, up 2.6% from $66.55 billion a year earlier but down 0.1% from the prior quarter.
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%).
- Quarterly Total Liabilities has moved between $58.16 billion (Q2 2022) and $68.35 billion (Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 25 straight quarters, with growth averaging 3.9% 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 6.1% (Q2 2024).
- Per Business Quant data, HIG's Total Liabilities in the three quarters before Q3 2026 was $68.35 billion (Q2 2026), $67.43 billion (Q1 2026) and $67.05 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 205.00 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 93.26 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 113.09 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | 712.18 Bn |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 54.99 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 54.94 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 731.63 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 95.54 Bn |
| 10 | Hartford Insurance | 36.51 Bn | 20.02 Bn | 3.51 Bn | 68.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.27 Bn |
| 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 |
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_KEY
import 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();