Hci (HCI) Return on Sales [ROS] (2010 - 2026)
Hci (HCI) posted Return on Sales [ROS] of 16.18% for Q2 2026, up 2.69 percentage points from 13.49% a year earlier but down 4.32 percentage points from the prior quarter.
Hci (HCI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Hci was 21.66%, up 37.84 percentage points year-over-year; for FY2025, it was 20.81%, up 47.65 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +5.14 percentage points (FY2020 to FY2025).
- In prior years, Hci's Return on Sales [ROS] was -26.84% in FY2024 (-1.97 pp), -24.87% in FY2023 (+63.19 pp), -88.05% in FY2022 (-92.38 pp) and 4.32% in FY2021 (-11.35 pp).
- Quarterly Return on Sales [ROS] has run from a low of -160.59% in Q3 2022 to a high of 37.39% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last six quarters, with an average year-over-year change of +16.25 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 125.16 percentage points; the weakest was Q3 2022, with a drop of 155.71 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 20.50% (Q1 2026), 37.39% (Q4 2025) and 11.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Hci | 2.30 Bn | -1.95 Bn | 175.58 Mn | 16.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.18% |
| Mar 31, 2026 | 20.50% |
| Dec 31, 2025 | 37.39% |
| Sep 30, 2025 | 11.30% |
| Jun 30, 2025 | 13.49% |
| Mar 31, 2025 | 18.97% |
| Dec 31, 2024 | -64.76% |
| Sep 30, 2024 | -52.28% |
| Jun 30, 2024 | -1.11% |
| Mar 31, 2024 | -1.21% |
| Dec 31, 2023 | -6.91% |
| Sep 30, 2023 | -35.43% |
| Jun 30, 2023 | -32.69% |
| Mar 31, 2023 | -29.01% |
| Dec 31, 2022 | -57.85% |
| Sep 30, 2022 | -160.59% |
| Jun 30, 2022 | -78.13% |
| Mar 31, 2022 | -54.08% |
| Dec 31, 2021 | 2.84% |
| Sep 30, 2021 | -4.88% |
Hci Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();