Hope Bancorp (HOPE) Tax Provisions (2010 - 2026)
Hope Bancorp's Tax Provisions came in at $9.6 million for Q2 2026, compared with -$1.32 million a year earlier and up 14.3% from the prior quarter.
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Analysis
Hope Bancorp (HOPE) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hope Bancorp reported Tax Provisions of $28.26 million, up 45.2% year-over-year; for FY2025, it came in at $15.69 million, down 52.9% from FY2024.
- Tax Provisions has declined in each of the last three years, with a five-year compound annual growth rate of -12.6% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $33.33 million in FY2024 (-24.6%), $44.21 million in FY2023 (-43.1%), $77.77 million in FY2022 (+10.0%) and $70.7 million in FY2021 (+129.7%).
- The Q2 2026 figure represents the highest quarterly Tax Provisions since Q1 2024.
- Year-over-year, Tax Provisions increased in 1 of the last six quarters, with an average decline of 16.0%.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2021 (growth of 260.3%), and the weakest in Q4 2023 (a decline of 60.9%).
- Business Quant data shows HOPE's Tax Provisions at $8.4 million (Q1 2026), $4.66 million (Q4 2025) and $5.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Hope Bancorp | 1.70 Bn | -772.34 Mn | - | 9.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.60 Mn |
| Mar 31, 2026 | 8.40 Mn |
| Dec 31, 2025 | 4.66 Mn |
| Sep 30, 2025 | 5.60 Mn |
| Jun 30, 2025 | -1.32 Mn |
| Mar 31, 2025 | 6.75 Mn |
| Dec 31, 2024 | 6.09 Mn |
| Sep 30, 2024 | 7.94 Mn |
| Jun 30, 2024 | 9.27 Mn |
| Mar 31, 2024 | 10.03 Mn |
| Dec 31, 2023 | 7.12 Mn |
| Sep 30, 2023 | 9.96 Mn |
| Jun 30, 2023 | 13.45 Mn |
| Mar 31, 2023 | 13.68 Mn |
| Dec 31, 2022 | 18.21 Mn |
| Sep 30, 2022 | 19.68 Mn |
| Jun 30, 2022 | 18.63 Mn |
| Mar 31, 2022 | 21.25 Mn |
| Dec 31, 2021 | 19.06 Mn |
| Sep 30, 2021 | 19.91 Mn |
API Access
Hope Bancorp Tax 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=tax-provisions&ticker=HOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "HOPE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();