OP Bancorp (OPBK) Wages, Salaries and Other (2017 - 2026)
OP Bancorp's Wages, Salaries and Other was $9.73 million in Q2 2026, up 7.3% from $9.08 million a year earlier and up 4.9% from the prior quarter.
OP Bancorp (OPBK) Wages, Salaries and Other (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's Wages, Salaries and Other was $37.15 million through Jun 30, 2026, up 8.7% year-over-year; for FY2025, it was $35.99 million, up 13.5% from FY2024.
- Wages, Salaries and Other has now increased for five consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Wages, Salaries and Other was $31.72 million in FY2024 (+7.2%), $29.59 million in FY2023 (+8.8%), $27.19 million in FY2022 (+27.9%) and $21.25 million in FY2021 (+6.0%).
- The Q2 2026 figure marks the highest quarterly Wages, Salaries and Other in data going back to Q1 2017.
- Compared with a year earlier, Wages, Salaries and Other has increased for eight straight quarters, with growth averaging 11.2% over the last eight quarters.
- The best year-over-year quarter for Wages, Salaries and Other over five years was Q2 2022 (growth of 34.0%); the worst was Q3 2023 (a decline of 4.5%).
- Per Business Quant data, OPBK's Wages, Salaries and Other in the three quarters before Q2 2026 was $9.28 million (Q1 2026), $9.24 million (Q4 2025) and $8.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 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 | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | OP Bancorp | 231.07 Mn | -438.30 Mn | - | 9.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.73 Mn |
| Mar 31, 2026 | 9.28 Mn |
| Dec 31, 2025 | 9.24 Mn |
| Sep 30, 2025 | 8.89 Mn |
| Jun 30, 2025 | 9.08 Mn |
| Mar 31, 2025 | 8.78 Mn |
| Dec 31, 2024 | 8.28 Mn |
| Sep 30, 2024 | 8.03 Mn |
| Jun 30, 2024 | 7.57 Mn |
| Mar 31, 2024 | 7.84 Mn |
| Dec 31, 2023 | 7.65 Mn |
| Sep 30, 2023 | 7.01 Mn |
| Jun 30, 2023 | 7.68 Mn |
| Mar 31, 2023 | 7.25 Mn |
| Dec 31, 2022 | 7.08 Mn |
| Sep 30, 2022 | 7.34 Mn |
| Jun 30, 2022 | 7.11 Mn |
| Mar 31, 2022 | 5.66 Mn |
| Dec 31, 2021 | 5.56 Mn |
| Sep 30, 2021 | 5.72 Mn |
OP Bancorp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();