Hartford Insurance (HIG) Retained Earnings (2009 - 2026)
Hartford Insurance (HIG) posted Retained Earnings of $27.71 billion for Q3 2026, up 16.5% from $23.78 billion a year earlier and up 4.4% from the prior quarter.
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Analysis
Hartford Insurance (HIG) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Hartford Insurance's Retained Earnings came in at $24.74 billion, up 14.9% from FY2024.
- Annual Retained Earnings has increased for eight consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Hartford Insurance's Retained Earnings was $21.53 billion in FY2024 (+13.3%), $19.01 billion in FY2023 (+11.4%), $17.06 billion in FY2022 (+8.2%) and $15.77 billion in FY2021 (+13.3%).
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q2 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 32 quarters, with growth averaging 14.5% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 8.2% (Q4 2022) and 16.5% (Q3 2026) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $26.55 billion (Q2 2026), $25.42 billion (Q1 2026) and $24.74 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 74.52 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 34.28 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 29.16 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 60.00 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | 3.67 Bn |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 6.81 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 384.00 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 45.38 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 69.28 Bn |
| 10 | Hartford Insurance | 36.51 Bn | 20.02 Bn | 3.51 Bn | 27.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.71 Bn |
| Jun 30, 2026 | 26.55 Bn |
| Mar 31, 2026 | 25.42 Bn |
| Dec 31, 2025 | 24.74 Bn |
| Sep 30, 2025 | 23.78 Bn |
| Jun 30, 2025 | 22.85 Bn |
| Mar 31, 2025 | 22.01 Bn |
| Dec 31, 2024 | 21.53 Bn |
| Sep 30, 2024 | 20.83 Bn |
| Jun 30, 2024 | 20.21 Bn |
| Mar 31, 2024 | 19.61 Bn |
| Dec 31, 2023 | 19.01 Bn |
| Sep 30, 2023 | 18.38 Bn |
| Jun 30, 2023 | 17.87 Bn |
| Mar 31, 2023 | 17.45 Bn |
| Dec 31, 2022 | 17.06 Bn |
| Sep 30, 2022 | 16.60 Bn |
| Jun 30, 2022 | 16.39 Bn |
| Mar 31, 2022 | 16.08 Bn |
| Dec 31, 2021 | 15.77 Bn |
API Access
Hartford Insurance Retained Earnings 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=retained-earnings&ticker=HIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();