Cathay General Bancorp (CATY) Return on Sales [ROS] (2009 - 2026)
Cathay General Bancorp's Return on Sales [ROS] came in at 110.35% for Q2 2026, down 10.69 percentage points from 121.04% a year earlier and down 0.76 percentage points from the prior quarter.
Cathay General Bancorp (CATY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cathay General Bancorp reported Return on Sales [ROS] of 111.83%, down 14.62 percentage points year-over-year; for FY2025, it came in at 117.01%, down 17.08 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +49.36 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 134.09% in FY2024 (+22.48 pp), 111.61% in FY2023 (+36.96 pp), 74.65% in FY2022 (+5.58 pp) and 69.07% in FY2021 (+1.43 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 six consecutive quarters, with an average year-over-year change of -8.06 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 42.63 percentage points), and the weakest in Q4 2025 (a drop of 19.03 percentage points).
- Business Quant data shows CATY's Return on Sales [ROS] at 111.11% (Q1 2026), 112.74% (Q4 2025) and 113.18% (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 | Cathay General Bancorp | 4.32 Bn | 4.22 Bn | - | 100.51% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100.51% |
| Jun 30, 2026 | 110.35% |
| Mar 31, 2026 | 111.11% |
| Dec 31, 2025 | 112.74% |
| Sep 30, 2025 | 113.18% |
| Jun 30, 2025 | 121.04% |
| Mar 31, 2025 | 122.15% |
| Dec 31, 2024 | 131.77% |
| Sep 30, 2024 | 131.11% |
| Jun 30, 2024 | 134.50% |
| Mar 31, 2024 | 139.35% |
| Dec 31, 2023 | 118.96% |
| Sep 30, 2023 | 119.05% |
| Jun 30, 2023 | 108.11% |
| Mar 31, 2023 | 100.81% |
| Dec 31, 2022 | 90.35% |
| Sep 30, 2022 | 76.42% |
| Jun 30, 2022 | 67.20% |
| Mar 31, 2022 | 61.77% |
| Dec 31, 2021 | 64.07% |
Cathay General 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=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CATY", "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=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();