Ofg Bancorp (OFG) Cash from Operations (2010 - 2026)
Ofg Bancorp's Cash from Operations was $53.2 million in Q2 2026, up 48.0% from $35.93 million a year earlier but down 27.3% from the prior quarter.
Ofg Bancorp (OFG) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ofg Bancorp's Cash from Operations was $225.03 million through Jun 30, 2026, up 4.5% year-over-year; for FY2025, it came in at $217.72 million, down 13.8% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 44.2% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $252.5 million in FY2024 (-14.6%), $295.66 million in FY2023 (+79.8%), $164.46 million in FY2022 (+64.4%) and $100.04 million in FY2021 (+186.2%).
- Quarterly Cash from Operations has moved between $7.92 million (Q4 2021) and $107.52 million (Q4 2023) over five years.
- Compared with a year earlier, Cash from Operations was higher in three of the last eight quarters, with an average decline of 8.3%.
- The best year-over-year quarter for Cash from Operations over five years was Q4 2022 (growth of 517.3%); the worst was Q4 2024 (a decline of 64.4%).
- Per Business Quant data, OFG's Cash from Operations in the three quarters before Q2 2026 was $73.12 million (Q1 2026), $59.21 million (Q4 2025) and $39.5 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 | Ofg Bancorp | 2.12 Bn | -1.05 Bn | - | 53.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.20 Mn |
| Mar 31, 2026 | 73.12 Mn |
| Dec 31, 2025 | 59.21 Mn |
| Sep 30, 2025 | 39.50 Mn |
| Jun 30, 2025 | 35.93 Mn |
| Mar 31, 2025 | 83.07 Mn |
| Dec 31, 2024 | 38.28 Mn |
| Sep 30, 2024 | 58.15 Mn |
| Jun 30, 2024 | 95.09 Mn |
| Mar 31, 2024 | 60.99 Mn |
| Dec 31, 2023 | 107.52 Mn |
| Sep 30, 2023 | 88.79 Mn |
| Jun 30, 2023 | 47.14 Mn |
| Mar 31, 2023 | 52.20 Mn |
| Dec 31, 2022 | 48.91 Mn |
| Sep 30, 2022 | 25.86 Mn |
| Jun 30, 2022 | 50.48 Mn |
| Mar 31, 2022 | 39.20 Mn |
| Dec 31, 2021 | 7.92 Mn |
| Sep 30, 2021 | 23.69 Mn |
Ofg Bancorp 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=OFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "OFG", "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=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();