Cathay General Bancorp (CATY) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
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Analysis
Cathay General Bancorp (CATY) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 8.51 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | -11.99 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 6.33 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 22.36 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 7.07 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Cathay General Bancorp | 4.32 Bn | 4.22 Bn | - | 145.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 145.88 Mn |
| Dec 31, 2025 | -190.00 Mn |
| Sep 30, 2025 | -222.00 Mn |
| Jun 30, 2025 | 317.00 Mn |
| Mar 31, 2025 | 35.00 Mn |
| Sep 30, 2024 | -105.00 Mn |
| Jun 30, 2024 | -100.00 Mn |
| Mar 31, 2024 | -275.00 Mn |
| Dec 31, 2023 | 525.00 Mn |
| Sep 30, 2023 | -800.00 Mn |
| Jun 30, 2023 | 455.00 Mn |
| Mar 31, 2023 | -125.00 Mn |
| Dec 31, 2022 | 125.00 Mn |
| Sep 30, 2022 | 265.00 Mn |
| Jun 30, 2022 | 75.00 Mn |
| Jun 30, 2021 | -55.00 Mn |
| Mar 31, 2021 | -75.00 Mn |
| Dec 31, 2020 | -80.00 Mn |
| Sep 30, 2020 | -7.75 Mn |
| Jun 30, 2020 | -264.91 Mn |
API Access
Cathay General Bancorp Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();