Hope Bancorp (HOPE) Cash & Equivalents (2010 - 2026)
Hope Bancorp's Cash & Equivalents came in at $640.44 million for Q2 2026, down 7.1% from $689.73 million a year earlier but up 7.7% from the prior quarter.
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Analysis
Hope Bancorp (HOPE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Hope Bancorp's Cash & Equivalents was $560.06 million, up 22.2% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $458.2 million in FY2024 (-76.2%), $1.93 billion in FY2023 (+280.6%), $506.78 million in FY2022 (+60.2%) and $316.27 million in FY2021 (-9.8%).
- The five-year range for quarterly Cash & Equivalents is $197.06 million (Q2 2022) to $2.5 billion (Q3 2023).
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 27.3%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2023 (growth of 689.2%), and the weakest in Q2 2022 (a decline of 76.5%).
- Business Quant data shows HOPE's Cash & Equivalents at $594.77 million (Q1 2026), $560.06 million (Q4 2025) and $454.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Hope Bancorp | 1.75 Bn | -722.52 Mn | - | 640.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 640.44 Mn |
| Mar 31, 2026 | 594.77 Mn |
| Dec 31, 2025 | 560.06 Mn |
| Sep 30, 2025 | 454.91 Mn |
| Jun 30, 2025 | 689.73 Mn |
| Mar 31, 2025 | 733.48 Mn |
| Dec 31, 2024 | 458.20 Mn |
| Sep 30, 2024 | 680.86 Mn |
| Jun 30, 2024 | 654.04 Mn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.93 Bn |
| Sep 30, 2023 | 2.50 Bn |
| Jun 30, 2023 | 2.30 Bn |
| Mar 31, 2023 | 2.21 Bn |
| Dec 31, 2022 | 506.78 Mn |
| Sep 30, 2022 | 331.34 Mn |
| Jun 30, 2022 | 197.06 Mn |
| Mar 31, 2022 | 280.37 Mn |
| Dec 31, 2021 | 316.27 Mn |
| Sep 30, 2021 | 627.35 Mn |
API Access
Hope Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=HOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();