RBB Bancorp (RBB) Cash & Equivalents (2016 - 2026)
RBB Bancorp (RBB) posted Cash & Equivalents of $190.29 million for Q3 2026, down 19.0% from $234.93 million a year earlier and down 32.8% from the prior quarter.
RBB Bancorp (RBB) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, RBB Bancorp's Cash & Equivalents came in at $212.32 million, down 17.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In prior years, RBB Bancorp's Cash & Equivalents was $257.75 million in FY2024 (-40.3%), $431.37 million in FY2023 (+416.3%), $83.55 million in FY2022 (-88.0%) and $694.37 million in FY2021 (+256.7%).
- The Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since Q4 2022.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last seven quarters, with an average decline of 14.8%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2023, with growth of 416.3%; the weakest was Q4 2022, with a decline of 88.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $283.02 million (Q2 2026), $196.91 million (Q1 2026) and $212.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 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 | RBB Bancorp | 439.02 Mn | -443.44 Mn | - | 190.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 190.29 Mn |
| Jun 30, 2026 | 283.02 Mn |
| Mar 31, 2026 | 196.91 Mn |
| Dec 31, 2025 | 212.32 Mn |
| Sep 30, 2025 | 234.93 Mn |
| Jun 30, 2025 | 191.85 Mn |
| Mar 31, 2025 | 238.82 Mn |
| Dec 31, 2024 | 257.75 Mn |
| Sep 30, 2024 | 349.39 Mn |
| Jun 30, 2024 | 252.77 Mn |
| Dec 31, 2023 | 431.37 Mn |
| Sep 30, 2023 | 312,000.00 |
| Jun 30, 2023 | 312,000.00 |
| Mar 31, 2023 | 312,000.00 |
| Dec 31, 2022 | 83.55 Mn |
| Sep 30, 2022 | 174.18 Mn |
| Jun 30, 2022 | 324.74 Mn |
| Mar 31, 2022 | 349.77 Mn |
| Dec 31, 2021 | 694.37 Mn |
| Sep 30, 2021 | 376.93 Mn |
RBB 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=RBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "RBB", "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=RBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();