Popular (BPOP) Operating Expenses (2009 - 2026)
Powered by 
Analysis
Popular (BPOP) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Popular | 10.13 Bn | 10.03 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();