Bancorp (TBBK) Cash from Operations (2011 - 2026)
Bancorp's Cash from Operations came in at $34.87 million for Q2 2026, down 31.0% from $50.52 million a year earlier and down 59.1% from the prior quarter.
Bancorp (TBBK) Cash from Operations (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bancorp reported Cash from Operations of $240.05 million, down 8.5% year-over-year; for FY2025, it came in at $265.01 million, up 26.2% from FY2024.
- Cash from Operations has increased in each of the last four years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $209.91 million in FY2024 (+12.3%), $186.85 million in FY2023 (+56.2%), $119.62 million in FY2022 (+42.6%) and $83.89 million in FY2021 (-30.5%).
- The five-year range for quarterly Cash from Operations is -$31.62 million (Q4 2025) to $151.57 million (Q3 2025).
- Year-over-year, Cash from Operations increased in four of the last seven quarters, with growth averaging 54.6%.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2022 (growth of 310.5%), and the weakest in Q3 2021 (a decline of 94.2%).
- Business Quant data shows TBBK's Cash from Operations at $85.24 million (Q1 2026), -$31.62 million (Q4 2025) and $151.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Bancorp | 1.98 Bn | 1.63 Bn | - | 34.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.87 Mn |
| Mar 31, 2026 | 85.24 Mn |
| Dec 31, 2025 | -31.62 Mn |
| Sep 30, 2025 | 151.57 Mn |
| Jun 30, 2025 | 50.52 Mn |
| Mar 31, 2025 | 94.54 Mn |
| Dec 31, 2024 | 66.56 Mn |
| Sep 30, 2024 | 50.80 Mn |
| Jun 30, 2024 | 17.12 Mn |
| Mar 31, 2024 | 75.42 Mn |
| Dec 31, 2023 | 61.10 Mn |
| Sep 30, 2023 | 53.24 Mn |
| Jun 30, 2023 | 29.38 Mn |
| Mar 31, 2023 | 43.14 Mn |
| Dec 31, 2022 | 51.31 Mn |
| Sep 30, 2022 | 28.45 Mn |
| Jun 30, 2022 | 21.48 Mn |
| Mar 31, 2022 | 18.39 Mn |
| Dec 31, 2021 | 12.50 Mn |
| Sep 30, 2021 | 37.60 Mn |
Bancorp Cash from Operations 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-from-operations&ticker=TBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();