Popular (BPOP) Cash from Operations (2009 - 2026)
Popular's Cash from Operations was $347.15 million in Q2 2026, up 42.9% from $242.94 million a year earlier and up 81.2% from the prior quarter.
Popular (BPOP) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Popular's Cash from Operations was $1 billion through Jun 30, 2026, up 18.2% year-over-year; for FY2025, it came in at $878.45 million, up 30.2% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $674.72 million in FY2024 (-1.7%), $686.61 million in FY2023 (-32.3%), $1.01 billion in FY2022 (+0.9%) and $1.01 billion in FY2021 (+48.1%).
- The Q2 2026 figure marks the highest quarterly Cash from Operations since Q3 2014.
- Compared with a year earlier, Cash from Operations has increased for three straight quarters, with growth averaging 45.8% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2025 (growth of 202.0%); the worst was Q3 2023 (a decline of 62.2%).
- Per Business Quant data, BPOP's Cash from Operations in the three quarters before Q2 2026 was $191.61 million (Q1 2026), $268.47 million (Q4 2025) and $194.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Popular | 9.93 Bn | 9.82 Bn | - | 347.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 347.15 Mn |
| Mar 31, 2026 | 191.61 Mn |
| Dec 31, 2025 | 268.47 Mn |
| Sep 30, 2025 | 194.98 Mn |
| Jun 30, 2025 | 242.94 Mn |
| Mar 31, 2025 | 172.06 Mn |
| Dec 31, 2024 | 199.48 Mn |
| Sep 30, 2024 | 233.24 Mn |
| Jun 30, 2024 | 80.44 Mn |
| Mar 31, 2024 | 161.56 Mn |
| Dec 31, 2023 | 213.59 Mn |
| Sep 30, 2023 | 121.67 Mn |
| Jun 30, 2023 | 198.31 Mn |
| Mar 31, 2023 | 153.05 Mn |
| Dec 31, 2022 | 201.13 Mn |
| Sep 30, 2022 | 322.08 Mn |
| Jun 30, 2022 | 294.15 Mn |
| Mar 31, 2022 | 197.19 Mn |
| Dec 31, 2021 | 307.18 Mn |
| Sep 30, 2021 | 218.70 Mn |
Popular Cash from Operations 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=cash-from-operations&ticker=BPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();