Bancorp (TBBK) Consolidated Net Income (2010 - 2026)
Bancorp (TBBK) recorded Consolidated Net Income of $60.66 million in Q2 2026, up 1.4% from $59.82 million a year earlier and up 1.0% from the prior quarter.
Bancorp (TBBK) Consolidated Net Income (2010 - 2026) Analysis & Trends
On a TTM basis, Bancorp's Consolidated Net Income came in at $231.94 million as of Jun 30, 2026, up 3.4% year-over-year; for FY2025, it was $228.21 million, up 4.9% from FY2024.
- Annual Consolidated Net Income has increased for six straight years, with a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at $217.54 million in FY2024 (+13.1%), $192.3 million in FY2023 (+47.7%), $130.21 million in FY2022 (+17.7%) and $110.65 million in FY2021 (+38.2%).
- The Q2 2026 figure is the highest quarterly Consolidated Net Income since Q3 2018.
- On a year-over-year basis, Consolidated Net Income has increased for 22 consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- The year-over-year growth in Consolidated Net Income has ranged between 0.7% (Q4 2025) and 69.6% (Q1 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $60.07 million (Q1 2026), $56.29 million (Q4 2025) and $54.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 6.65 Bn |
| 10 | Bancorp | 2.01 Bn | 1.66 Bn | - | 60.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.66 Mn |
| Mar 31, 2026 | 60.07 Mn |
| Dec 31, 2025 | 56.29 Mn |
| Sep 30, 2025 | 54.93 Mn |
| Jun 30, 2025 | 59.82 Mn |
| Mar 31, 2025 | 57.17 Mn |
| Dec 31, 2024 | 55.91 Mn |
| Sep 30, 2024 | 51.52 Mn |
| Jun 30, 2024 | 53.69 Mn |
| Mar 31, 2024 | 56.43 Mn |
| Dec 31, 2023 | 44.03 Mn |
| Sep 30, 2023 | 50.14 Mn |
| Jun 30, 2023 | 49.01 Mn |
| Mar 31, 2023 | 49.12 Mn |
| Dec 31, 2022 | 40.24 Mn |
| Sep 30, 2022 | 30.60 Mn |
| Jun 30, 2022 | 30.40 Mn |
| Mar 31, 2022 | 28.97 Mn |
| Dec 31, 2021 | 26.99 Mn |
| Sep 30, 2021 | 28.26 Mn |
Bancorp Consolidated Net Income 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=consolidated-net-income&ticker=TBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();