Hartford Insurance (HIG) Long-Term Investments (2009 - 2026)
Hartford Insurance (HIG) recorded Long-Term Investments of $64 billion in Q2 2026, up 5.1% from $60.9 billion a year earlier and up 0.4% from the prior quarter.
Hartford Insurance (HIG) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Hartford Insurance reported Long-Term Investments of $63.49 billion, up 7.2% from FY2024.
- Annual Long-Term Investments has increased for three straight years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Investments came in at $59.21 billion in FY2024 (+5.9%), $55.92 billion in FY2023 (+6.4%), $52.56 billion in FY2022 (-9.0%) and $57.75 billion in FY2021 (+2.2%).
- The Q2 2026 figure is the highest quarterly Long-Term Investments since Q3 2017.
- On a year-over-year basis, Long-Term Investments has increased for 13 consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 11.3% in Q3 2024, against a decline of 12.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $63.74 billion (Q1 2026), $63.49 billion (Q4 2025) and $62.57 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 172.65 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 97.22 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | - |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 103.18 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 40.54 Bn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | - |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 482.56 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 87.80 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | - |
| 10 | Hartford Insurance | 37.26 Bn | 20.95 Bn | 3.18 Bn | 64.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.00 Bn |
| Mar 31, 2026 | 63.74 Bn |
| Dec 31, 2025 | 63.49 Bn |
| Sep 30, 2025 | 62.57 Bn |
| Jun 30, 2025 | 60.90 Bn |
| Mar 31, 2025 | 60.09 Bn |
| Dec 31, 2024 | 59.21 Bn |
| Sep 30, 2024 | 59.35 Bn |
| Jun 30, 2024 | 56.89 Bn |
| Mar 31, 2024 | 56.11 Bn |
| Dec 31, 2023 | 55.92 Bn |
| Sep 30, 2023 | 53.32 Bn |
| Jun 30, 2023 | 52.67 Bn |
| Mar 31, 2023 | 53.67 Bn |
| Dec 31, 2022 | 52.56 Bn |
| Sep 30, 2022 | 50.66 Bn |
| Jun 30, 2022 | 52.39 Bn |
| Mar 31, 2022 | 55.95 Bn |
| Dec 31, 2021 | 57.75 Bn |
| Sep 30, 2021 | 57.57 Bn |
Hartford Insurance Long-Term Investments 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=long-term-investments&ticker=HIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();