Bancorp (TBBK) Cash & Equivalents (2009 - 2026)
Bancorp (TBBK) posted Cash & Equivalents of $80.08 million for Q2 2026, down 76.5% from $340.27 million a year earlier but up 19.2% from the prior quarter.
Bancorp (TBBK) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Bancorp's Cash & Equivalents came in at $112.65 million, down 80.2% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -20.1% (FY2020 to FY2025).
- In prior years, Bancorp's Cash & Equivalents was $570.12 million in FY2024 (-45.1%), $1.04 billion in FY2023 (+16.9%), $888.19 million in FY2022 (+47.6%) and $601.78 million in FY2021 (+74.2%).
- Quarterly Cash & Equivalents has run from a low of $55.77 million in Q3 2024 to a high of $1.25 billion in Q1 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with an average decline of 46.5% 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 156.8%; the weakest was Q3 2024, with a decline of 93.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $67.18 million (Q1 2026), $112.65 million (Q4 2025) and $84.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Bancorp | 2.01 Bn | 1.66 Bn | - | 80.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.08 Mn |
| Mar 31, 2026 | 67.18 Mn |
| Dec 31, 2025 | 112.65 Mn |
| Sep 30, 2025 | 84.68 Mn |
| Jun 30, 2025 | 340.27 Mn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 570.12 Mn |
| Sep 30, 2024 | 55.77 Mn |
| Jun 30, 2024 | 405.59 Mn |
| Mar 31, 2024 | 1.25 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 903.41 Mn |
| Jun 30, 2023 | 880.55 Mn |
| Mar 31, 2023 | 787.18 Mn |
| Dec 31, 2022 | 888.19 Mn |
| Sep 30, 2022 | 722.71 Mn |
| Jun 30, 2022 | 342.87 Mn |
| Mar 31, 2022 | 674.23 Mn |
| Dec 31, 2021 | 601.78 Mn |
| Sep 30, 2021 | 317.33 Mn |
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=TBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "TBBK", "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=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();