OP Bancorp (OPBK) Depreciation and Depletion (2017 - 2026)
OP Bancorp's Depreciation and Depletion was $344,000 in Q2 2026, down 12.7% from $394,000 a year earlier but up 0.6% from the prior quarter.
OP Bancorp (OPBK) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's Depreciation and Depletion was $1.3 million through Jun 30, 2026, down 12.1% year-over-year; for FY2025, it was $1.4 million, unchanged from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $1.4 million in FY2024 (+7.7%), $1.3 million in FY2023 (-7.1%), $1.4 million in FY2022 (+7.7%) and $1.3 million in FY2021 (unchanged).
- Quarterly Depreciation and Depletion has moved between $200,000 (Q4 2025) and $411,000 (Q3 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2024 (growth of 33.3%); the worst was Q4 2025 (a decline of 50.0%).
- Per Business Quant data, OPBK's Depreciation and Depletion in the three quarters before Q2 2026 was $342,000 (Q1 2026), $200,000 (Q4 2025) and $411,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 243.13 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | OP Bancorp | 222.05 Mn | -523.47 Mn | - | 333,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 333,000.00 |
| Jun 30, 2026 | 344,000.00 |
| Mar 31, 2026 | 342,000.00 |
| Dec 31, 2025 | 200,000.00 |
| Sep 30, 2025 | 411,000.00 |
| Jun 30, 2025 | 394,000.00 |
| Mar 31, 2025 | 347,000.00 |
| Dec 31, 2024 | 400,000.00 |
| Sep 30, 2024 | 335,000.00 |
| Jun 30, 2024 | 332,000.00 |
| Mar 31, 2024 | 367,000.00 |
| Dec 31, 2023 | 300,000.00 |
| Sep 30, 2023 | 367,000.00 |
| Jun 30, 2023 | 339,000.00 |
| Mar 31, 2023 | 334,000.00 |
| Dec 31, 2022 | 400,000.00 |
| Sep 30, 2022 | 349,000.00 |
| Jun 30, 2022 | 341,000.00 |
| Mar 31, 2022 | 390,000.00 |
| Dec 31, 2021 | 311,000.00 |
OP Bancorp Depreciation and Depletion 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=depreciation-and-depletion&ticker=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();