Home Bancshares (HOMB) Return on Sales [ROS] (2009 - 2026)
Home Bancshares (HOMB) reported Return on Sales [ROS] of 84.58% for Q2 2026, down 8.09 percentage points from 92.67% a year earlier and down 5.16 percentage points from the prior quarter.
Home Bancshares (HOMB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Home Bancshares' Return on Sales [ROS] came in at 88.36%, down 5.00 percentage points year-over-year; for FY2025, it was 91.51%, down 4.16 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +38.06 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 95.67% in FY2024 (+9.41 pp), 86.27% in FY2023 (+31.26 pp), 55.01% in FY2022 (-10.99 pp) and 66.00% in FY2021 (+12.55 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q1 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last six quarters, with an average year-over-year change of -2.61 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 69.69 percentage points); the low point was Q2 2022 (a drop of 52.67 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 89.74% (Q1 2026), 86.98% (Q4 2025) and 92.45% (Q3 2025).
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 Bancshares | 6.02 Bn | 2.33 Bn | - | 90.07% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.07% |
| Jun 30, 2026 | 84.58% |
| Mar 31, 2026 | 89.74% |
| Dec 31, 2025 | 86.98% |
| Sep 30, 2025 | 92.45% |
| Jun 30, 2025 | 92.67% |
| Mar 31, 2025 | 94.22% |
| Dec 31, 2024 | 90.97% |
| Sep 30, 2024 | 95.62% |
| Jun 30, 2024 | 97.76% |
| Mar 31, 2024 | 98.51% |
| Dec 31, 2023 | 88.04% |
| Sep 30, 2023 | 90.33% |
| Jun 30, 2023 | 85.12% |
| Mar 31, 2023 | 81.71% |
| Dec 31, 2022 | 75.52% |
| Sep 30, 2022 | 67.03% |
| Jun 30, 2022 | 15.42% |
| Mar 31, 2022 | 60.98% |
| Dec 31, 2021 | 61.93% |
Home Bancshares 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=HOMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HOMB", "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=HOMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();