OP Bancorp (OPBK) Cash & Equivalents (2017 - 2026)
OP Bancorp (OPBK) posted Cash & Equivalents of $175.05 million for Q2 2026, down 14.8% from $205.39 million a year earlier but up 9.2% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, OP Bancorp's Cash & Equivalents came in at $167.31 million, up 24.0% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In prior years, OP Bancorp's Cash & Equivalents was $134.94 million in FY2024 (+47.9%), $91.22 million in FY2023 (+9.9%), $82.97 million in FY2022 (-28.1%) and $115.46 million in FY2021 (+8.6%).
- Quarterly Cash & Equivalents has run from a low of $82.97 million in Q4 2022 to a high of $205.39 million in Q2 2025 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 24.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 113.8%; the weakest was Q3 2022, with a decline of 43.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $160.26 million (Q1 2026), $167.31 million (Q4 2025) and $166.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | OP Bancorp | 231.07 Mn | -438.30 Mn | - | 175.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.05 Mn |
| Mar 31, 2026 | 160.26 Mn |
| Dec 31, 2025 | 167.31 Mn |
| Sep 30, 2025 | 166.75 Mn |
| Jun 30, 2025 | 205.39 Mn |
| Mar 31, 2025 | 198.86 Mn |
| Dec 31, 2024 | 134.94 Mn |
| Sep 30, 2024 | 166.76 Mn |
| Jun 30, 2024 | 127.68 Mn |
| Mar 31, 2024 | 139.25 Mn |
| Dec 31, 2023 | 91.22 Mn |
| Sep 30, 2023 | 105.74 Mn |
| Jun 30, 2023 | 143.76 Mn |
| Mar 31, 2023 | 181.51 Mn |
| Dec 31, 2022 | 82.97 Mn |
| Sep 30, 2022 | 107.28 Mn |
| Jun 30, 2022 | 132.70 Mn |
| Mar 31, 2022 | 129.98 Mn |
| Dec 31, 2021 | 115.46 Mn |
| Sep 30, 2021 | 188.15 Mn |
API Access
OP Bancorp Cash & Equivalents 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-and-equivalents&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();