Home Bancorp (HBCP) Return on Sales [ROS] (2009 - 2026)
Home Bancorp's Return on Sales [ROS] came in at 70.04% for Q2 2026, down 9.41 percentage points from 79.45% a year earlier and down 2.22 percentage points from the prior quarter.
Home Bancorp (HBCP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Home Bancorp reported Return on Sales [ROS] of 74.94%, down 6.37 percentage points year-over-year; for FY2025, it was 79.71%, down 1.61 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +39.60 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 81.32% in FY2024 (+12.51 pp), 68.81% in FY2023 (+30.58 pp), 38.22% in FY2022 (-18.36 pp) and 56.59% in FY2021 (+16.47 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -1.54 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2023 (a gain of 35.07 percentage points), and the weakest in Q1 2022 (a drop of 33.21 percentage points).
- Business Quant data shows HBCP's Return on Sales [ROS] at 72.26% (Q1 2026), 76.73% (Q4 2025) and 81.01% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Home Bancorp | 483.84 Mn | -248.53 Mn | - | 66.31% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.31% |
| Jun 30, 2026 | 70.04% |
| Mar 31, 2026 | 72.26% |
| Dec 31, 2025 | 76.73% |
| Sep 30, 2025 | 81.01% |
| Jun 30, 2025 | 79.45% |
| Mar 31, 2025 | 81.76% |
| Dec 31, 2024 | 80.09% |
| Sep 30, 2024 | 84.15% |
| Jun 30, 2024 | 78.87% |
| Mar 31, 2024 | 82.18% |
| Dec 31, 2023 | 78.17% |
| Sep 30, 2023 | 73.10% |
| Jun 30, 2023 | 65.32% |
| Mar 31, 2023 | 59.22% |
| Dec 31, 2022 | 45.78% |
| Sep 30, 2022 | 43.21% |
| Jun 30, 2022 | 35.94% |
| Mar 31, 2022 | 24.16% |
| Dec 31, 2021 | 49.51% |
Home Bancorp 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=HBCP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HBCP", "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=HBCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();