Hartford Insurance (HIG) Other Operating Expenses (2009 - 2026)
Hartford Insurance's Other Operating Expenses came in at $4.82 billion for Q2 2026, up 9.4% from $4.4 billion a year earlier and up 2.0% from the prior quarter.
Hartford Insurance (HIG) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hartford Insurance reported Other Operating Expenses of $18.48 billion, up 2.7% year-over-year; for FY2025, it came in at $18.02 billion, up 3.4% from FY2024.
- Other Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $17.43 billion in FY2024 (+5.3%), $16.55 billion in FY2023 (+8.6%), $15.25 billion in FY2022 (+3.8%) and $14.69 billion in FY2021 (+6.3%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q1 2013.
- Year-over-year, Other Operating Expenses has increased for 17 consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2023 (growth of 15.5%), and the weakest in Q1 2022 (a decline of 5.3%).
- Business Quant data shows HIG's Other Operating Expenses at $4.72 billion (Q1 2026), $4.45 billion (Q4 2025) and $4.5 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,178.60 Bn | -238.88 Bn | 55.86 Bn |
| 2 | Chubb | 140.37 Bn | 92.42 Bn | 9.13 Bn |
| 3 | Progressive | 133.48 Bn | 109.32 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 94.69 Bn | 87.08 Bn | - |
| 5 | Travelers Companies | 84.57 Bn | 60.82 Bn | 6.23 Bn |
| 6 | Manulife Financial | 77.66 Bn | -16.05 Bn | - |
| 7 | Arthur J. Gallagher | 69.43 Bn | 63.86 Bn | - |
| 8 | Metlife | 66.04 Bn | -40.44 Bn | 7.82 Bn |
| 9 | Allstate | 65.83 Bn | 27.08 Bn | 8.73 Bn |
| 10 | Hartford Insurance | 37.77 Bn | 21.46 Bn | 3.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.82 Bn |
| Mar 31, 2026 | 4.72 Bn |
| Dec 31, 2025 | 4.45 Bn |
| Sep 30, 2025 | 4.50 Bn |
| Jun 30, 2025 | 4.40 Bn |
| Mar 31, 2025 | 4.68 Bn |
| Dec 31, 2024 | 4.44 Bn |
| Sep 30, 2024 | 4.48 Bn |
| Jun 30, 2024 | 4.29 Bn |
| Mar 31, 2024 | 4.22 Bn |
| Dec 31, 2023 | 4.23 Bn |
| Sep 30, 2023 | 4.13 Bn |
| Jun 30, 2023 | 4.15 Bn |
| Mar 31, 2023 | 4.04 Bn |
| Dec 31, 2022 | 4.08 Bn |
| Sep 30, 2022 | 3.94 Bn |
| Jun 30, 2022 | 3.59 Bn |
| Mar 31, 2022 | 3.64 Bn |
| Dec 31, 2021 | 3.66 Bn |
| Sep 30, 2021 | 3.92 Bn |
Hartford Insurance Other Operating Expenses 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=other-operating-expenses&ticker=HIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();