Popular (BPOP) Operating Expenses (2009 - 2026)
Popular (BPOP) reported Operating Expenses of $484.13 million for Q2 2026, down 1.8% from $492.76 million a year earlier but up 3.6% from the prior quarter.
Powered by 
Analysis
Popular (BPOP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Popular's Operating Expenses came in at $1.92 billion, up 1.1% year-over-year; for FY2025, it came in at $1.93 billion, up 2.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.89 billion in FY2024 (-0.6%), $1.9 billion in FY2023 (+8.7%), $1.75 billion in FY2022 (+12.7%) and $1.55 billion in FY2021 (+6.3%).
- Five-year quarterly Operating Expenses spans a low of $388.17 million in Q3 2021 and a high of $531.15 million in Q4 2023.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 0.6%.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 22.7%); the low point was Q4 2024 (a decline of 12.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $467.31 million (Q1 2026), $473.21 million (Q4 2025) and $495.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Popular | 9.98 Bn | 9.87 Bn | - | 484.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 484.13 Mn |
| Mar 31, 2026 | 467.31 Mn |
| Dec 31, 2025 | 473.21 Mn |
| Sep 30, 2025 | 495.29 Mn |
| Jun 30, 2025 | 492.76 Mn |
| Mar 31, 2025 | 471.01 Mn |
| Dec 31, 2024 | 467.63 Mn |
| Sep 30, 2024 | 467.32 Mn |
| Jun 30, 2024 | 469.58 Mn |
| Mar 31, 2024 | 483.11 Mn |
| Dec 31, 2023 | 531.15 Mn |
| Sep 30, 2023 | 465.98 Mn |
| Jun 30, 2023 | 460.28 Mn |
| Mar 31, 2023 | 440.69 Mn |
| Dec 31, 2022 | 461.71 Mn |
| Sep 30, 2022 | 476.10 Mn |
| Jun 30, 2022 | 406.28 Mn |
| Mar 31, 2022 | 402.34 Mn |
| Dec 31, 2021 | 417.39 Mn |
| Sep 30, 2021 | 388.17 Mn |
API Access
Popular Operating 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=operating-expenses&ticker=BPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();