Bancorp (TBBK) Change in Net Loans (2009 - 2026)
Bancorp's Change in Net Loans was -$659.22 million in Q2 2026, compared with $194.3 million a year earlier.
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Analysis
Bancorp (TBBK) Change in Net Loans (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bancorp's Change in Net Loans was $685.86 million through Jun 30, 2026, down 36.9% year-over-year; for FY2025, it came in at $1.17 billion, up 33.9% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $875.47 million in FY2024, -$142.19 million in FY2023, $1.68 billion in FY2022 (+53.1%) and $1.1 billion in FY2021 (+31.1%).
- The Q2 2026 figure marks the lowest quarterly Change in Net Loans in data going back to Q1 2011.
- Compared with a year earlier, Change in Net Loans was higher in five of the last six quarters, with growth averaging 77.5%.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2022 (growth of 570.2%); the worst was Q4 2022 (a decline of 64.1%).
- Per Business Quant data, TBBK's Change in Net Loans in the three quarters before Q2 2026 was $677.88 million (Q1 2026), $490.09 million (Q4 2025) and $177.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Bancorp | 1.96 Bn | -4.85 Bn | - | 232.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 232.94 Mn |
| Jun 30, 2026 | -659.22 Mn |
| Mar 31, 2026 | 677.88 Mn |
| Dec 31, 2025 | 487.62 Mn |
| Sep 30, 2025 | 179.59 Mn |
| Jun 30, 2025 | 194.30 Mn |
| Mar 31, 2025 | 310.84 Mn |
| Dec 31, 2024 | 276.31 Mn |
| Sep 30, 2024 | 306.23 Mn |
| Jun 30, 2024 | 191.67 Mn |
| Mar 31, 2024 | 101.26 Mn |
| Dec 31, 2023 | 135.79 Mn |
| Sep 30, 2023 | -64.95 Mn |
| Jun 30, 2023 | -85.00 Mn |
| Mar 31, 2023 | -128.04 Mn |
| Dec 31, 2022 | 219.46 Mn |
| Sep 30, 2022 | 513.06 Mn |
| Jun 30, 2022 | 592.42 Mn |
| Mar 31, 2022 | 353.82 Mn |
| Dec 31, 2021 | 610.54 Mn |
API Access
Bancorp Change in Net Loans 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=change-in-net-loans&ticker=TBBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();