Hci (HCI) Operating Expenses (2010 - 2026)
Hci's Operating Expenses came in at $135.68 million for Q2 2026, up 6.4% from $127.53 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Hci (HCI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hci reported Operating Expenses of $491.17 million, down 12.4% year-over-year; for FY2025, it was $471.62 million, down 18.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $576.62 million in FY2024 (+33.2%), $433.02 million in FY2023 (-23.8%), $567.98 million in FY2022 (+43.2%) and $396.68 million in FY2021 (+45.0%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 80.0%), and the weakest in Q3 2023 (a decline of 41.4%).
- Business Quant data shows HCI's Operating Expenses at $127.5 million (Q1 2026), $102.24 million (Q4 2025) and $125.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | Hci | 2.20 Bn | -2.05 Bn | 175.58 Mn | 135.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.68 Mn |
| Mar 31, 2026 | 127.50 Mn |
| Dec 31, 2025 | 102.24 Mn |
| Sep 30, 2025 | 125.75 Mn |
| Jun 30, 2025 | 127.53 Mn |
| Mar 31, 2025 | 116.09 Mn |
| Dec 31, 2024 | 155.98 Mn |
| Sep 30, 2024 | 161.24 Mn |
| Jun 30, 2024 | 130.22 Mn |
| Mar 31, 2024 | 129.18 Mn |
| Dec 31, 2023 | 108.51 Mn |
| Sep 30, 2023 | 111.56 Mn |
| Jun 30, 2023 | 107.06 Mn |
| Mar 31, 2023 | 105.89 Mn |
| Dec 31, 2022 | 117.20 Mn |
| Sep 30, 2022 | 190.26 Mn |
| Jun 30, 2022 | 137.49 Mn |
| Mar 31, 2022 | 123.04 Mn |
| Dec 31, 2021 | 109.78 Mn |
| Sep 30, 2021 | 105.72 Mn |
API Access
Hci 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=operating-expenses&ticker=HCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();