Customers Bancorp (CUBI) Long-Term Debt Repayments (2018 - 2026)
Customers Bancorp's Long-Term Debt Repayments came in at $290 million for Q1 2026, up 190.0% from $100 million a year earlier.
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Analysis
Customers Bancorp (CUBI) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
For FY2025, Customers Bancorp's Long-Term Debt Repayments was $200 million, down 42.9% from FY2024.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of 26.0% (FY2022 to FY2025).
- Going back by year, Long-Term Debt Repayments was $350 million in FY2024 (-81.2%), $1.87 billion in FY2023 and $100 million in FY2022.
- The Q1 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q4 2023.
- Year-over-year, Long-Term Debt Repayments increased in two of the last four quarters, with growth averaging 79.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Customers Bancorp | 2.87 Bn | -14.71 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 290.00 Mn |
| Sep 30, 2025 | 100.00 Mn |
| Mar 31, 2025 | 100.00 Mn |
| Dec 31, 2024 | 75.00 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Jun 30, 2024 | 250.00 Mn |
| Dec 31, 2023 | 340.00 Mn |
| Sep 30, 2023 | 510.00 Mn |
| Mar 31, 2023 | 1.02 Bn |
| Jun 30, 2022 | 100.00 Mn |
| Sep 30, 2018 | 63.25 Mn |
API Access
Customers Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CUBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();