Bancorp (TBBK) EBIT (2009 - 2026)
Bancorp (TBBK) recorded EBIT of $122.52 million in Q2 2026, down 2.2% from $125.31 million a year earlier but up 2.4% from the prior quarter.
Bancorp (TBBK) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Bancorp's EBIT came in at $472.51 million as of Jun 30, 2026, down 2.5% year-over-year; for FY2025, it came in at $478.9 million, up 2.4% from FY2024.
- Annual EBIT has increased for six straight years, with a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $467.51 million in FY2024 (+13.4%), $412.23 million in FY2023 (+73.7%), $237.37 million in FY2022 (+52.7%) and $155.4 million in FY2021 (+25.1%).
- Quarterly EBIT has ranged from $38.11 million in Q4 2021 to $125.31 million in Q2 2025 over the past five years.
- On a year-over-year basis, EBIT has declined for three consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 146.3% in Q1 2023, against a decline of 4.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $119.69 million (Q1 2026), $114.94 million (Q4 2025) and $115.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.11 Bn |
| 10 | Bancorp | 1.96 Bn | -4.85 Bn | - | 117.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 117.21 Mn |
| Jun 30, 2026 | 122.52 Mn |
| Mar 31, 2026 | 119.69 Mn |
| Dec 31, 2025 | 114.94 Mn |
| Sep 30, 2025 | 115.35 Mn |
| Jun 30, 2025 | 125.31 Mn |
| Mar 31, 2025 | 123.30 Mn |
| Dec 31, 2024 | 120.90 Mn |
| Sep 30, 2024 | 114.98 Mn |
| Jun 30, 2024 | 115.32 Mn |
| Mar 31, 2024 | 116.31 Mn |
| Dec 31, 2023 | 99.14 Mn |
| Sep 30, 2023 | 106.54 Mn |
| Jun 30, 2023 | 105.32 Mn |
| Mar 31, 2023 | 101.23 Mn |
| Dec 31, 2022 | 86.40 Mn |
| Sep 30, 2022 | 61.70 Mn |
| Jun 30, 2022 | 48.17 Mn |
| Mar 31, 2022 | 41.11 Mn |
| Dec 31, 2021 | 38.11 Mn |
Bancorp EBIT 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=ebit&ticker=TBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();