Bancorp (TBBK) EBITDA (2010 - 2026)
Bancorp's EBITDA was $123.75 million in Q2 2026, down 2.1% from $126.43 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Bancorp (TBBK) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bancorp's EBITDA was $477.4 million through Jun 30, 2026, down 2.4% year-over-year; for FY2025, it was $483.55 million, up 2.5% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $471.71 million in FY2024 (+13.5%), $415.7 million in FY2023 (+72.7%), $240.67 million in FY2022 (+51.6%) and $158.71 million in FY2021 (+24.0%).
- Quarterly EBITDA has moved between $38.97 million (Q4 2021) and $126.43 million (Q2 2025) over five years.
- Compared with a year earlier, EBITDA has declined for three straight quarters, with growth averaging 4.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2023 (growth of 143.0%); the worst was Q4 2025 (a decline of 4.8%).
- Per Business Quant data, TBBK's EBITDA in the three quarters before Q2 2026 was $120.93 million (Q1 2026), $116.21 million (Q4 2025) and $116.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Bancorp | 1.98 Bn | 1.63 Bn | - | 123.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.75 Mn |
| Mar 31, 2026 | 120.93 Mn |
| Dec 31, 2025 | 116.21 Mn |
| Sep 30, 2025 | 116.50 Mn |
| Jun 30, 2025 | 126.43 Mn |
| Mar 31, 2025 | 124.40 Mn |
| Dec 31, 2024 | 122.07 Mn |
| Sep 30, 2024 | 116.03 Mn |
| Jun 30, 2024 | 116.45 Mn |
| Mar 31, 2024 | 117.36 Mn |
| Dec 31, 2023 | 100.27 Mn |
| Sep 30, 2023 | 107.28 Mn |
| Jun 30, 2023 | 106.10 Mn |
| Mar 31, 2023 | 102.05 Mn |
| Dec 31, 2022 | 87.18 Mn |
| Sep 30, 2022 | 62.48 Mn |
| Jun 30, 2022 | 49.01 Mn |
| Mar 31, 2022 | 42.00 Mn |
| Dec 31, 2021 | 38.97 Mn |
| Sep 30, 2021 | 39.92 Mn |
API Access
Bancorp EBITDA 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=ebitda&ticker=TBBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();