Cathay General Bancorp (CATY) Return on Sales [ROS] (2010 - 2026)
Cathay General Bancorp's Return on Sales [ROS] came in at 2480.05% for Q2 2026, down 988.47 percentage points from 3468.52% a year earlier and down 138.38 percentage points from the prior quarter.
Cathay General Bancorp (CATY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cathay General Bancorp reported Return on Sales [ROS] of 2743.56%, down 382.01 percentage points year-over-year; for FY2025, it came in at 3061.32%, down 133.24 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1812.93 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 3194.56% in FY2024 (+1135.77 pp), 2058.79% in FY2023 (+659.71 pp), 1399.08% in FY2022 (+245.89 pp) and 1153.19% in FY2021 (-95.19 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +5.91 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 2976.50 percentage points), and the weakest in Q4 2023 (a drop of 1039.51 percentage points).
- Business Quant data shows CATY's Return on Sales [ROS] at 2618.43% (Q1 2026), 3045.36% (Q4 2025) and 2896.33% (Q3 2025) in the three quarters before Q2 2026.
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 | Cathay General Bancorp | 4.07 Bn | 3.97 Bn | - | 2,480.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,480.05% |
| Mar 31, 2026 | 2,618.43% |
| Dec 31, 2025 | 3,045.36% |
| Sep 30, 2025 | 2,896.33% |
| Jun 30, 2025 | 3,468.52% |
| Mar 31, 2025 | 2,896.64% |
| Dec 31, 2024 | 3,123.23% |
| Sep 30, 2024 | 3,061.34% |
| Jun 30, 2024 | 3,220.53% |
| Mar 31, 2024 | 3,396.13% |
| Dec 31, 2023 | 931.24% |
| Sep 30, 2023 | 3,444.99% |
| Jun 30, 2023 | 4,190.13% |
| Mar 31, 2023 | 3,636.66% |
| Dec 31, 2022 | 1,970.75% |
| Sep 30, 2022 | 1,436.62% |
| Jun 30, 2022 | 1,213.63% |
| Mar 31, 2022 | 1,023.15% |
| Dec 31, 2021 | 1,068.97% |
| Sep 30, 2021 | 1,118.06% |
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();