Popular (BPOP) Revenue (2009 - 2026)
Popular's Revenue was $124.56 million in Q2 2026, up 6.7% from $116.7 million a year earlier and up 221.3% from the prior quarter.
Popular (BPOP) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Popular's Revenue was $404.64 million through Jun 30, 2026, up 4.8% year-over-year; for FY2025, it came in at $469.38 million, up 3.2% from FY2024.
- Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In earlier years, Revenue was $454.79 million in FY2024 (+3.9%), $437.67 million in FY2023 (+4.4%), $419.38 million in FY2022 (+3.3%) and $405.97 million in FY2021 (+18.5%).
- The Q2 2026 figure marks the highest quarterly Revenue since Q4 2017.
- Compared with a year earlier, Revenue was higher in seven of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for Revenue over five years was Q3 2021 (growth of 16.9%); the worst was Q1 2024 (a decline of 64.2%).
- Per Business Quant data, BPOP's Revenue in the three quarters before Q2 2026 was $38.77 million (Q1 2026), $123.03 million (Q4 2025) and $118.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 22.62 Bn |
| 10 | Popular | 9.98 Bn | 9.87 Bn | - | 124.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.56 Mn |
| Mar 31, 2026 | 38.77 Mn |
| Dec 31, 2025 | 123.03 Mn |
| Sep 30, 2025 | 118.29 Mn |
| Jun 30, 2025 | 116.70 Mn |
| Mar 31, 2025 | 39.05 Mn |
| Dec 31, 2024 | 115.44 Mn |
| Sep 30, 2024 | 114.88 Mn |
| Jun 30, 2024 | 114.64 Mn |
| Mar 31, 2024 | 37.44 Mn |
| Dec 31, 2023 | 111.71 Mn |
| Sep 30, 2023 | 109.31 Mn |
| Jun 30, 2023 | 112.12 Mn |
| Mar 31, 2023 | 104.53 Mn |
| Dec 31, 2022 | 103.89 Mn |
| Sep 30, 2022 | 104.95 Mn |
| Jun 30, 2022 | 108.80 Mn |
| Mar 31, 2022 | 101.75 Mn |
| Dec 31, 2021 | 108.42 Mn |
| Sep 30, 2021 | 102.75 Mn |
Popular Revenue 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=revenue&ticker=BPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();