Cathay General Bancorp (CATY) Change in Net Loans (2010 - 2026)
Cathay General Bancorp (CATY) reported Change in Net Loans of $452.92 million for Q2 2026, up 0.3% from $451.5 million a year earlier.
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Analysis
Cathay General Bancorp (CATY) Change in Net Loans (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cathay General Bancorp's Change in Net Loans came in at $911.74 million, up 60.3% year-over-year; for FY2025, it came in at $876.88 million.
- Change in Net Loans has a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $36.02 million in FY2024 (-97.3%), $1.33 billion in FY2023 (+4.3%), $1.27 billion in FY2022 (+77.7%) and $715.86 million in FY2021 (+22.8%).
- The Q2 2026 figure ranks as the highest quarterly Change in Net Loans since Q4 2023.
- Year over year, Change in Net Loans gained in three of the last six quarters, with growth averaging 165.1%.
- The high point for year-over-year Change in Net Loans in five years was Q2 2022 (growth of 747.4%); the low point was Q4 2024 (a decline of 88.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $40.36 million (Q1 2026), $56.57 million (Q4 2025) and $361.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Cathay General Bancorp | 3.98 Bn | 3.88 Bn | - | 452.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 452.92 Mn |
| Mar 31, 2026 | 40.36 Mn |
| Dec 31, 2025 | 56.57 Mn |
| Sep 30, 2025 | 361.89 Mn |
| Jun 30, 2025 | 451.50 Mn |
| Mar 31, 2025 | 6.93 Mn |
| Dec 31, 2024 | 62.05 Mn |
| Sep 30, 2024 | 48.45 Mn |
| Jun 30, 2024 | -63.86 Mn |
| Mar 31, 2024 | -10.63 Mn |
| Dec 31, 2023 | 537.58 Mn |
| Sep 30, 2023 | 83.93 Mn |
| Jun 30, 2023 | 637.40 Mn |
| Mar 31, 2023 | 68.13 Mn |
| Dec 31, 2022 | 149.75 Mn |
| Sep 30, 2022 | 319.44 Mn |
| Jun 30, 2022 | 389.36 Mn |
| Mar 31, 2022 | 413.72 Mn |
| Dec 31, 2021 | 365.94 Mn |
| Sep 30, 2021 | 288.73 Mn |
API Access
Cathay General Bancorp Change in Net Loans 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=change-in-net-loans&ticker=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();