Cathay General Bancorp (CATY) EBITDA Margin (2009 - 2026)
Cathay General Bancorp's EBITDA Margin was 111.07% in Q2 2026, down 10.82 percentage points from 121.89% a year earlier and down 0.82 percentage points from the prior quarter.
Cathay General Bancorp (CATY) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cathay General Bancorp's EBITDA Margin was 112.56% through Jun 30, 2026, down 14.81 percentage points year-over-year; for FY2025, it came in at 117.81%, down 17.26 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +48.88 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 135.07% in FY2024 (+22.43 pp), 112.64% in FY2023 (+36.73 pp), 75.91% in FY2022 (+5.62 pp) and 70.29% in FY2021 (+1.36 pp).
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin since Q2 2023.
- Compared with a year earlier, EBITDA Margin has declined for six straight quarters, with an average year-over-year change of -8.20 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2023 (a gain of 42.56 percentage points); the worst was Q4 2025 (a drop of 19.32 percentage points).
- Per Business Quant data, CATY's EBITDA Margin in the three quarters before Q2 2026 was 111.89% (Q1 2026), 113.37% (Q4 2025) and 113.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Cathay General Bancorp | 4.32 Bn | 4.22 Bn | - | 101.21% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.21% |
| Jun 30, 2026 | 111.07% |
| Mar 31, 2026 | 111.89% |
| Dec 31, 2025 | 113.37% |
| Sep 30, 2025 | 113.97% |
| Jun 30, 2025 | 121.89% |
| Mar 31, 2025 | 123.12% |
| Dec 31, 2024 | 132.69% |
| Sep 30, 2024 | 132.05% |
| Jun 30, 2024 | 135.51% |
| Mar 31, 2024 | 140.43% |
| Dec 31, 2023 | 119.91% |
| Sep 30, 2023 | 120.08% |
| Jun 30, 2023 | 109.26% |
| Mar 31, 2023 | 101.80% |
| Dec 31, 2022 | 91.80% |
| Sep 30, 2022 | 77.52% |
| Jun 30, 2022 | 68.50% |
| Mar 31, 2022 | 62.95% |
| Dec 31, 2021 | 65.22% |
Cathay General Bancorp EBITDA Margin 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=ebitda-margin&ticker=CATY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();