Hope Bancorp (HOPE) Return on Sales [ROS] (2010 - 2026)
Hope Bancorp's Return on Sales [ROS] was 101.35% in Q2 2026, up 0.25 percentage points from 101.10% a year earlier but down 0.77 percentage points from the prior quarter.
Hope Bancorp (HOPE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hope Bancorp's Return on Sales [ROS] was 104.11% through Jun 30, 2026, down 20.87 percentage points year-over-year; for FY2025, it came in at 109.53%, down 29.25 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +56.99 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 138.78% in FY2024 (+16.12 pp), 122.66% in FY2023 (+53.79 pp), 68.87% in FY2022 (+9.73 pp) and 59.14% in FY2021 (+6.60 pp).
- Quarterly Return on Sales [ROS] has moved between 56.37% (Q4 2021) and 146.37% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -15.52 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 70.87 percentage points); the worst was Q2 2025 (a drop of 36.83 percentage points).
- Per Business Quant data, HOPE's Return on Sales [ROS] in the three quarters before Q2 2026 was 102.11% (Q1 2026), 104.24% (Q4 2025) and 108.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Hope Bancorp | 1.75 Bn | -722.52 Mn | - | 101.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.35% |
| Mar 31, 2026 | 102.11% |
| Dec 31, 2025 | 104.24% |
| Sep 30, 2025 | 108.86% |
| Jun 30, 2025 | 101.10% |
| Mar 31, 2025 | 123.77% |
| Dec 31, 2024 | 131.26% |
| Sep 30, 2024 | 139.20% |
| Jun 30, 2024 | 137.93% |
| Mar 31, 2024 | 146.37% |
| Dec 31, 2023 | 130.86% |
| Sep 30, 2023 | 125.57% |
| Jun 30, 2023 | 127.26% |
| Mar 31, 2023 | 107.42% |
| Dec 31, 2022 | 88.32% |
| Sep 30, 2022 | 65.70% |
| Jun 30, 2022 | 56.39% |
| Mar 31, 2022 | 64.01% |
| Dec 31, 2021 | 56.37% |
| Sep 30, 2021 | 62.44% |
Hope 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=HOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HOPE", "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=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();