First Us Bancshares (FUSB) Cash & Equivalents (2010 - 2026)
First Us Bancshares (FUSB) posted Cash & Equivalents of $58.94 million for Q2 2026, up 9.2% from $53.96 million a year earlier but down 11.5% from the prior quarter.
First Us Bancshares (FUSB) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, First Us Bancshares' Cash & Equivalents came in at $73.55 million, up 55.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, First Us Bancshares' Cash & Equivalents was $47.22 million in FY2024 (-6.1%), $50.28 million in FY2023 (+66.8%), $30.15 million in FY2022 (-50.8%) and $61.24 million in FY2021 (-35.1%).
- Quarterly Cash & Equivalents has run from a low of $30.15 million in Q4 2022 to a high of $97.84 million in Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 6.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2023, with growth of 121.2%; the weakest was Q2 2022, with a decline of 58.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $66.59 million (Q1 2026), $73.55 million (Q4 2025) and $54.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | First Us Bancshares | 91.08 Mn | -162.68 Mn | - | 58.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.94 Mn |
| Mar 31, 2026 | 66.59 Mn |
| Dec 31, 2025 | 73.55 Mn |
| Sep 30, 2025 | 54.69 Mn |
| Jun 30, 2025 | 53.96 Mn |
| Mar 31, 2025 | 56.04 Mn |
| Dec 31, 2024 | 47.22 Mn |
| Sep 30, 2024 | 82.31 Mn |
| Jun 30, 2024 | 58.22 Mn |
| Mar 31, 2024 | 60.24 Mn |
| Dec 31, 2023 | 50.28 Mn |
| Sep 30, 2023 | 66.13 Mn |
| Jun 30, 2023 | 74.67 Mn |
| Mar 31, 2023 | 68.43 Mn |
| Dec 31, 2022 | 30.15 Mn |
| Sep 30, 2022 | 36.82 Mn |
| Jun 30, 2022 | 33.76 Mn |
| Mar 31, 2022 | 97.84 Mn |
| Dec 31, 2021 | 61.24 Mn |
| Sep 30, 2021 | 75.26 Mn |
First Us Bancshares 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=FUSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FUSB", "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=FUSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();