Cathay General Bancorp (CATY) Professional Fees (2009 - 2026)
Cathay General Bancorp (CATY) reported Professional Fees of $7.84 million for Q3 2026, up 6.5% from $7.36 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Cathay General Bancorp (CATY) Professional Fees (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cathay General Bancorp's Professional Fees came in at $31.06 million, down 4.3% year-over-year; for FY2025, it was $31.69 million, up 2.3% from FY2024.
- Professional Fees has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Professional Fees came in at $30.99 million in FY2024 (-4.6%), $32.49 million in FY2023 (+15.1%), $28.24 million in FY2022 (+19.3%) and $23.67 million in FY2021 (+8.3%).
- Five-year quarterly Professional Fees spans a low of $6.34 million in Q3 2022 and a high of $8.9 million in Q2 2023.
- Year over year, Professional Fees gained in six of the last eight quarters, with growth averaging 1.4%.
- The high point for year-over-year Professional Fees in five years was Q1 2022 (growth of 42.2%); the low point was Q2 2026 (a decline of 16.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $7.44 million (Q2 2026), $7.78 million (Q1 2026) and $8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Cathay General Bancorp | 4.32 Bn | 4.22 Bn | - | 7.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.84 Mn |
| Jun 30, 2026 | 7.44 Mn |
| Mar 31, 2026 | 7.78 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 7.36 Mn |
| Jun 30, 2025 | 8.89 Mn |
| Mar 31, 2025 | 7.45 Mn |
| Dec 31, 2024 | 8.76 Mn |
| Sep 30, 2024 | 7.02 Mn |
| Jun 30, 2024 | 8.21 Mn |
| Mar 31, 2024 | 6.99 Mn |
| Dec 31, 2023 | 8.28 Mn |
| Sep 30, 2023 | 7.91 Mn |
| Jun 30, 2023 | 8.90 Mn |
| Mar 31, 2023 | 7.41 Mn |
| Dec 31, 2022 | 7.50 Mn |
| Sep 30, 2022 | 6.34 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 6.70 Mn |
| Dec 31, 2021 | 6.97 Mn |
API Access
Cathay General Bancorp Professional Fees 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=professional-fees&ticker=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();