Cathay General Bancorp (CATY) Goodwill & Intangibles (2010 - 2026)
Cathay General Bancorp (CATY) posted Goodwill & Intangibles of $378.04 million for Q2 2026, down 0.1% from $378.58 million a year earlier and unchanged from the prior quarter.
Cathay General Bancorp (CATY) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Cathay General Bancorp's Goodwill & Intangibles came in at $378.38 million, down 0.2% from FY2024.
- Annual Goodwill & Intangibles has declined for three consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Cathay General Bancorp's Goodwill & Intangibles was $379.04 million in FY2024 (-0.3%), $380.16 million in FY2023 (-0.3%), $381.45 million in FY2022 (+1.2%) and $376.83 million in FY2021 (-0.2%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q4 2021.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 14 quarters, with an average decline of 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2022, with growth of 1.5%; the weakest was Q2 2023, with a decline of 0.6%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $378.15 million (Q1 2026), $378.38 million (Q4 2025) and $378.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Cathay General Bancorp | 4.07 Bn | 3.97 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 378.04 Mn |
| Mar 31, 2026 | 378.15 Mn |
| Dec 31, 2025 | 378.38 Mn |
| Sep 30, 2025 | 378.37 Mn |
| Jun 30, 2025 | 378.58 Mn |
| Mar 31, 2025 | 378.80 Mn |
| Dec 31, 2024 | 379.04 Mn |
| Sep 30, 2024 | 379.29 Mn |
| Jun 30, 2024 | 379.56 Mn |
| Mar 31, 2024 | 379.83 Mn |
| Dec 31, 2023 | 380.16 Mn |
| Sep 30, 2023 | 380.43 Mn |
| Jun 30, 2023 | 380.69 Mn |
| Mar 31, 2023 | 381.26 Mn |
| Dec 31, 2022 | 381.45 Mn |
| Sep 30, 2022 | 382.65 Mn |
| Jun 30, 2022 | 382.93 Mn |
| Mar 31, 2022 | 383.22 Mn |
| Dec 31, 2021 | 376.83 Mn |
| Sep 30, 2021 | 377.03 Mn |
Cathay General Bancorp Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CATY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();