Popular (BPOP) EBITDA (2009 - 2026)
Popular's EBITDA was $626.97 million in Q2 2026, up 7.3% from $584.07 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Popular (BPOP) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Popular's EBITDA was $2.38 billion through Jun 30, 2026, up 4.9% year-over-year; for FY2025, it came in at $2.3 billion, up 2.5% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $2.25 billion in FY2024 (+21.4%), $1.85 billion in FY2023 (+16.3%), $1.59 billion in FY2022 (+8.1%) and $1.47 billion in FY2021 (+60.4%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q3 2010.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2022 (growth of 49.3%); the worst was Q1 2022 (a decline of 21.9%).
- Per Business Quant data, BPOP's EBITDA in the three quarters before Q2 2026 was $583.57 million (Q1 2026), $591.27 million (Q4 2025) and $581.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Popular | 9.98 Bn | 9.87 Bn | - | 626.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 626.97 Mn |
| Mar 31, 2026 | 583.57 Mn |
| Dec 31, 2025 | 591.27 Mn |
| Sep 30, 2025 | 581.40 Mn |
| Jun 30, 2025 | 584.07 Mn |
| Mar 31, 2025 | 546.84 Mn |
| Dec 31, 2024 | 561.80 Mn |
| Sep 30, 2024 | 578.94 Mn |
| Jun 30, 2024 | 588.47 Mn |
| Mar 31, 2024 | 518.40 Mn |
| Dec 31, 2023 | 442.55 Mn |
| Sep 30, 2023 | 509.25 Mn |
| Jun 30, 2023 | 471.91 Mn |
| Mar 31, 2023 | 427.30 Mn |
| Dec 31, 2022 | 375.11 Mn |
| Sep 30, 2022 | 576.65 Mn |
| Jun 30, 2022 | 328.05 Mn |
| Mar 31, 2022 | 312.10 Mn |
| Dec 31, 2021 | 339.33 Mn |
| Sep 30, 2021 | 386.22 Mn |
API Access
Popular EBITDA 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=ebitda&ticker=BPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();