Popular (BPOP) Long-Term Debt Repayments (2009 - 2026)
Popular (BPOP) reported Long-Term Debt Repayments of $25 million for Q2 2026, compared with $1.83 million a year earlier and unchanged from the prior quarter.
Popular (BPOP) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Popular's Long-Term Debt Repayments came in at $105.69 million, down 5.0% year-over-year; for FY2025, it came in at $144.21 million, up 56.9% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $91.94 million in FY2024 (-73.2%), $343.26 million in FY2023 (+232.8%), $103.15 million in FY2022 (-56.6%) and $237.71 million in FY2021 (+69.9%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $1 million in Q1 2022 and a high of $300 million in Q3 2023.
- Year over year, Long-Term Debt Repayments gained in five of the last seven quarters, with growth averaging 13.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2023 (growth of 936.8%); the low point was Q4 2022 (a decline of 98.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25 million (Q1 2026), $30.69 million (Q4 2025) and $25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Popular | 9.93 Bn | 9.82 Bn | - | 25.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.00 Mn |
| Mar 31, 2026 | 25.00 Mn |
| Dec 31, 2025 | 30.69 Mn |
| Sep 30, 2025 | 25.00 Mn |
| Jun 30, 2025 | 1.83 Mn |
| Mar 31, 2025 | 63.52 Mn |
| Dec 31, 2024 | 22.37 Mn |
| Sep 30, 2024 | 23.57 Mn |
| Jun 30, 2024 | 1.77 Mn |
| Mar 31, 2024 | 21.00 Mn |
| Dec 31, 2023 | 22.26 Mn |
| Sep 30, 2023 | 300.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 2.15 Mn |
| Jun 30, 2022 | 100.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 188.70 Mn |
| Jun 30, 2021 | 47.88 Mn |
| Mar 31, 2021 | 1.13 Mn |
Popular 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=BPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BPOP", "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=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();