Hci (HCI) Change in Accured Expenses (2010 - 2026)
Hci (HCI) posted Change in Accured Expenses of $2.54 million for Q2 2026, down 80.2% from $12.87 million a year earlier and down 86.3% from the prior quarter.
Hci (HCI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Hci was $5.33 million, down 59.9% year-over-year; for FY2025, it came in at $10.89 million, up 289.8% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- In prior years, Hci's Change in Accured Expenses was $2.79 million in FY2024 (-80.4%), $14.26 million in FY2023, -$8.4 million in FY2022 and $1.64 million in FY2021 (-91.9%).
- Quarterly Change in Accured Expenses has run from a low of -$28.7 million in Q4 2025 to a high of $22.36 million in Q2 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in four of the last six quarters, with growth averaging 19.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2022, with growth of 271.5%; the weakest was Q4 2021, with a decline of 87.3%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $18.58 million (Q1 2026), -$28.7 million (Q4 2025) and $12.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | Hci | 2.30 Bn | -1.95 Bn | 175.58 Mn | 2.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.54 Mn |
| Mar 31, 2026 | 18.58 Mn |
| Dec 31, 2025 | -28.70 Mn |
| Sep 30, 2025 | 12.91 Mn |
| Jun 30, 2025 | 12.87 Mn |
| Mar 31, 2025 | 13.82 Mn |
| Dec 31, 2024 | -26.22 Mn |
| Sep 30, 2024 | 12.84 Mn |
| Jun 30, 2024 | 5.12 Mn |
| Mar 31, 2024 | 11.06 Mn |
| Dec 31, 2023 | -18.69 Mn |
| Sep 30, 2023 | 14.58 Mn |
| Jun 30, 2023 | -1.29 Mn |
| Mar 31, 2023 | 19.67 Mn |
| Dec 31, 2022 | -12.03 Mn |
| Sep 30, 2022 | -12.58 Mn |
| Jun 30, 2022 | 22.36 Mn |
| Mar 31, 2022 | -6.14 Mn |
| Dec 31, 2021 | 2.43 Mn |
| Sep 30, 2021 | 4.43 Mn |
Hci Change in Accured 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=change-in-accured-expenses&ticker=HCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();