Cathay General Bancorp (CATY) Tax Provisions (2010 - 2026)
Cathay General Bancorp (CATY) reported Tax Provisions of $26.54 million for Q2 2026, up 40.9% from $18.83 million a year earlier and up 15.0% from the prior quarter.
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Analysis
Cathay General Bancorp (CATY) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cathay General Bancorp's Tax Provisions came in at $88.67 million, up 66.6% year-over-year; for FY2025, it was $75.07 million, up 137.9% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- By year, Tax Provisions came in at $31.56 million in FY2024 (-36.2%), $49.46 million in FY2023 (-55.8%), $111.89 million in FY2022 (+33.9%) and $83.54 million in FY2021 (+232.8%).
- The Q2 2026 figure ranks as the highest quarterly Tax Provisions since Q4 2022.
- Year over year, Tax Provisions has now increased in each of the last six quarters, with growth averaging 83.9% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q3 2021 (growth of 678.0%); the low point was Q4 2023 (a decline of 68.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $23.07 million (Q1 2026), $22.96 million (Q4 2025) and $16.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Cathay General Bancorp | 3.98 Bn | 3.88 Bn | - | 26.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.54 Mn |
| Mar 31, 2026 | 23.07 Mn |
| Dec 31, 2025 | 22.96 Mn |
| Sep 30, 2025 | 16.11 Mn |
| Jun 30, 2025 | 18.83 Mn |
| Mar 31, 2025 | 17.18 Mn |
| Dec 31, 2024 | 6.57 Mn |
| Sep 30, 2024 | 10.64 Mn |
| Jun 30, 2024 | 5.75 Mn |
| Mar 31, 2024 | 8.61 Mn |
| Dec 31, 2023 | 10.49 Mn |
| Sep 30, 2023 | 10.13 Mn |
| Jun 30, 2023 | 9.45 Mn |
| Mar 31, 2023 | 19.39 Mn |
| Dec 31, 2022 | 33.68 Mn |
| Sep 30, 2022 | 30.98 Mn |
| Jun 30, 2022 | 24.18 Mn |
| Mar 31, 2022 | 23.06 Mn |
| Dec 31, 2021 | 23.23 Mn |
| Sep 30, 2021 | 17.04 Mn |
API Access
Cathay General Bancorp Tax Provisions 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=tax-provisions&ticker=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();