Hope Bancorp (HOPE) Provisions (2010 - 2026)
Hope Bancorp (HOPE) posted Provisions of $7.1 million for Q2 2026, down 36.0% from $11.09 million a year earlier and down 22.8% from the prior quarter.
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Analysis
Hope Bancorp (HOPE) Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Hope Bancorp was $32.21 million, up 8.9% year-over-year; for FY2025, it was $31.8 million, up 72.8% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of -19.7% (FY2020 to FY2025).
- In prior years, Hope Bancorp's Provisions was $18.4 million in FY2024 (-41.8%), $31.59 million in FY2023 (+220.7%), $9.85 million in FY2022 and -$12.2 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Provisions since Q1 2025.
- On a year-over-year basis, Provisions increased in five of the last eight quarters, with growth averaging 143.9%.
- The strongest year-over-year quarter for Provisions in the past five years was Q2 2025, with growth of 692.3%; the weakest was Q4 2021, with a decline of 94.5%.
- According to Business Quant data, Provisions for the three prior quarters was $9.2 million (Q1 2026), $7.2 million (Q4 2025) and $8.71 million (Q3 2025).
Peer Set
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 | Hope Bancorp | 1.72 Bn | -753.18 Mn | - | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10 Mn |
| Mar 31, 2026 | 9.20 Mn |
| Dec 31, 2025 | 7.20 Mn |
| Sep 30, 2025 | 8.71 Mn |
| Jun 30, 2025 | 11.09 Mn |
| Mar 31, 2025 | 5.20 Mn |
| Dec 31, 2024 | 10.00 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 2.40 Mn |
| Sep 30, 2023 | 16.86 Mn |
| Jun 30, 2023 | 9.01 Mn |
| Mar 31, 2023 | 3.32 Mn |
| Dec 31, 2022 | 8.20 Mn |
| Sep 30, 2022 | 9.20 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | -11.00 Mn |
| Dec 31, 2021 | 1.50 Mn |
| Sep 30, 2021 | -10.00 Mn |
API Access
Hope 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=HOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=provisions&ticker=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();