OP Bancorp (OPBK) Cash from Operations (2017 - 2026)
OP Bancorp's Cash from Operations came in at -$7.31 million for Q2 2026, compared with -$6.96 million a year earlier.
OP Bancorp (OPBK) Cash from Operations (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OP Bancorp reported Cash from Operations of $27.91 million, up 61.4% year-over-year; for FY2025, it came in at $26.16 million, down 16.3% from FY2024.
- Cash from Operations has declined in each of the last three years.
- Going back by year, Cash from Operations was $31.24 million in FY2024 (-53.9%), $67.76 million in FY2023 (-19.1%), $83.73 million in FY2022 and -$28.28 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Cash from Operations since Q3 2021.
- Year-over-year, Cash from Operations increased in two of the last four quarters, with growth averaging 17.6%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2023 (growth of 257.5%), and the weakest in Q4 2022 (a decline of 87.6%).
- Business Quant data shows OPBK's Cash from Operations at $7.72 million (Q1 2026), $3.56 million (Q4 2025) and $23.95 million (Q3 2025) in the three quarters before Q2 2026.
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 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | -7.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.31 Mn |
| Mar 31, 2026 | 7.72 Mn |
| Dec 31, 2025 | 3.56 Mn |
| Sep 30, 2025 | 23.95 Mn |
| Jun 30, 2025 | -6.96 Mn |
| Mar 31, 2025 | 5.62 Mn |
| Dec 31, 2024 | 5.30 Mn |
| Sep 30, 2024 | 13.33 Mn |
| Jun 30, 2024 | 15.77 Mn |
| Mar 31, 2024 | -3.15 Mn |
| Dec 31, 2023 | -1.42 Mn |
| Sep 30, 2023 | 15.42 Mn |
| Jun 30, 2023 | 8.71 Mn |
| Mar 31, 2023 | 45.05 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 46.16 Mn |
| Jun 30, 2022 | 22.00 Mn |
| Mar 31, 2022 | 12.60 Mn |
| Dec 31, 2021 | 23.91 Mn |
| Sep 30, 2021 | -23.44 Mn |
OP 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=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "OPBK", "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=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();