OP Bancorp (OPBK) Provisions (2017 - 2026)
OP Bancorp's Provisions came in at -$149,000 for Q2 2026, compared with $1.26 million a year earlier.
OP Bancorp (OPBK) Provisions (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OP Bancorp reported Provisions of $1.99 million, down 53.8% year-over-year; for FY2025, it came in at $3.67 million, up 25.8% from FY2024.
- Provisions carries a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- Going back by year, Provisions was $2.91 million in FY2024 (+76.4%), $1.65 million in FY2023 (-48.1%), $3.18 million in FY2022 (+231.7%) and $959,000 in FY2021 (-83.9%).
- The Q2 2026 figure represents the lowest quarterly Provisions since Q1 2023.
- Year-over-year, Provisions increased in four of the last seven quarters, with growth averaging 82.0%.
- The fastest year-over-year change in Provisions over five years came in Q1 2025 (growth of 281.3%), and the weakest in Q4 2025 (a decline of 72.1%).
- Business Quant data shows OPBK's Provisions at $412,000 (Q1 2026), $518,000 (Q4 2025) and $1.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | OP Bancorp | 226.74 Mn | -442.63 Mn | - | -149,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -149,000.00 |
| Mar 31, 2026 | 412,000.00 |
| Dec 31, 2025 | 518,000.00 |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 736,000.00 |
| Dec 31, 2024 | 1.86 Mn |
| Sep 30, 2024 | 448,000.00 |
| Jun 30, 2024 | 627,000.00 |
| Mar 31, 2024 | 193,000.00 |
| Dec 31, 2023 | 606,000.00 |
| Sep 30, 2023 | 1.36 Mn |
| Mar 31, 2023 | -338,000.00 |
| Dec 31, 2022 | 977,000.00 |
| Sep 30, 2022 | 662,000.00 |
| Jun 30, 2022 | 996,000.00 |
| Mar 31, 2022 | 546,000.00 |
| Dec 31, 2021 | 1.90 Mn |
| Sep 30, 2021 | -884,000.00 |
| Jun 30, 2021 | -1.11 Mn |
OP Bancorp Provisions 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=provisions&ticker=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();