Popular (BPOP) Interest Expenses (2009 - 2026)
Popular (BPOP) recorded Interest Expenses of $288.22 million in Q2 2026, down 7.7% from $312.32 million a year earlier but up 4.0% from the prior quarter.
Popular (BPOP) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Popular's Interest Expenses came in at $1.18 billion as of Jun 30, 2026, down 10.2% year-over-year; for FY2025, it came in at $1.24 billion, down 10.7% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $1.39 billion in FY2024 (+24.9%), $1.11 billion in FY2023 (+273.1%), $298.55 million in FY2022 (+80.9%) and $165.05 million in FY2021 (-29.7%).
- Quarterly Interest Expenses has ranged from $35.41 million in Q1 2022 to $364.98 million in Q3 2024 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for seven consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 592.2% in Q2 2023, against a decline of 21.9% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $277.04 million (Q1 2026), $297.94 million (Q4 2025) and $320.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Popular | 9.93 Bn | 9.82 Bn | - | 288.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 288.22 Mn |
| Mar 31, 2026 | 277.04 Mn |
| Dec 31, 2025 | 297.94 Mn |
| Sep 30, 2025 | 320.14 Mn |
| Jun 30, 2025 | 312.32 Mn |
| Mar 31, 2025 | 311.40 Mn |
| Dec 31, 2024 | 329.01 Mn |
| Sep 30, 2024 | 364.98 Mn |
| Jun 30, 2024 | 353.60 Mn |
| Mar 31, 2024 | 343.40 Mn |
| Dec 31, 2023 | 333.31 Mn |
| Sep 30, 2023 | 310.77 Mn |
| Jun 30, 2023 | 262.34 Mn |
| Mar 31, 2023 | 207.37 Mn |
| Dec 31, 2022 | 153.63 Mn |
| Sep 30, 2022 | 71.62 Mn |
| Jun 30, 2022 | 37.90 Mn |
| Mar 31, 2022 | 35.41 Mn |
| Dec 31, 2021 | 37.98 Mn |
| Sep 30, 2021 | 40.77 Mn |
Popular Interest Expenses 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=interest-expenses&ticker=BPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();