Popular (BPOP) Goodwill & Intangibles (2009 - 2026)
Popular's Goodwill & Intangibles came in at $884.44 million for Q2 2026.
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Analysis
Popular (BPOP) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Popular's Goodwill & Intangibles was $886.31 million.
- Goodwill & Intangibles carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Goodwill & Intangibles was $922.54 million in FY2023 (-3.5%), $955.78 million in FY2022 (+13.5%) and $841.86 million in FY2021 (+6.6%).
- The Q2 2026 figure represents the lowest quarterly Goodwill & Intangibles since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Popular | 10.00 Bn | 5.18 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 883.33 Mn |
| Jun 30, 2026 | 884.44 Mn |
| Mar 31, 2026 | 794.65 Mn |
| Dec 31, 2025 | 886.31 Mn |
| Sep 30, 2025 | 795.41 Mn |
| Jun 30, 2025 | 808.80 Mn |
| Mar 31, 2025 | 809.18 Mn |
| Dec 31, 2024 | 809.78 Mn |
| Sep 30, 2024 | 811.96 Mn |
| Jun 30, 2024 | 812.66 Mn |
| Mar 31, 2024 | 813.40 Mn |
| Dec 31, 2023 | 922.54 Mn |
| Sep 30, 2023 | 814.99 Mn |
| Jun 30, 2023 | 838.78 Mn |
| Mar 31, 2023 | 839.58 Mn |
| Dec 31, 2022 | 955.78 Mn |
| Sep 30, 2022 | 841.17 Mn |
| Jun 30, 2022 | 734.83 Mn |
| Mar 31, 2022 | 735.62 Mn |
| Dec 31, 2021 | 841.86 Mn |
API Access
Popular Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=BPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();