Cathay General Bancorp (CATY) Revenue (2009 - 2026)
Cathay General Bancorp's Revenue was $222.3 million in Q2 2026, up 13.1% from $196.61 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Cathay General Bancorp (CATY) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cathay General Bancorp's Revenue was $870.57 million through Jun 30, 2026, up 14.5% year-over-year; for FY2025, it came in at $817.89 million, up 12.1% from FY2024.
- Revenue shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Revenue was $729.72 million in FY2024 (-9.9%), $810.04 million in FY2023 (+2.5%), $790.51 million in FY2022 (+21.2%) and $652.36 million in FY2021 (+9.7%).
- Quarterly Revenue has moved between $164.7 million (Q3 2021) and $222.83 million (Q4 2025) over five years.
- Compared with a year earlier, Revenue has increased for six straight quarters, with growth averaging 8.0% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q3 2022 (growth of 25.9%); the worst was Q1 2024 (a decline of 15.2%).
- Per Business Quant data, CATY's Revenue in the three quarters before Q2 2026 was $214.83 million (Q1 2026), $222.83 million (Q4 2025) and $210.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Cathay General Bancorp | 4.32 Bn | 4.22 Bn | - | 254.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 254.65 Mn |
| Jun 30, 2026 | 222.30 Mn |
| Mar 31, 2026 | 214.83 Mn |
| Dec 31, 2025 | 222.83 Mn |
| Sep 30, 2025 | 210.61 Mn |
| Jun 30, 2025 | 196.61 Mn |
| Mar 31, 2025 | 187.84 Mn |
| Dec 31, 2024 | 186.49 Mn |
| Sep 30, 2024 | 189.52 Mn |
| Jun 30, 2024 | 178.53 Mn |
| Mar 31, 2024 | 175.18 Mn |
| Dec 31, 2023 | 205.24 Mn |
| Sep 30, 2023 | 193.48 Mn |
| Jun 30, 2023 | 204.64 Mn |
| Mar 31, 2023 | 206.68 Mn |
| Dec 31, 2022 | 213.90 Mn |
| Sep 30, 2022 | 207.41 Mn |
| Jun 30, 2022 | 189.78 Mn |
| Mar 31, 2022 | 179.42 Mn |
| Dec 31, 2021 | 175.26 Mn |
API Access
Cathay General Bancorp Revenue 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=revenue&ticker=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();