Bancorp (TBBK) Operating Expenses (2010 - 2026)
Bancorp (TBBK) reported Operating Expenses of $56.48 million for Q2 2026, down 1.3% from $57.22 million a year earlier but up 2.6% from the prior quarter.
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Analysis
Bancorp (TBBK) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bancorp's Operating Expenses came in at $224.1 million, up 3.9% year-over-year; for FY2025, it was $223.11 million, up 9.8% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $203.23 million in FY2024 (+6.4%), $191.04 million in FY2023 (+12.7%), $169.5 million in FY2022 (+0.7%) and $168.35 million in FY2021 (+2.1%).
- Five-year quarterly Operating Expenses spans a low of $38.35 million in Q1 2022 and a high of $57.22 million in Q2 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 8.4%.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 25.2%); the low point was Q1 2022 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $55.03 million (Q1 2026), $56.19 million (Q4 2025) and $56.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Bancorp | 1.98 Bn | 1.63 Bn | - | 56.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.48 Mn |
| Mar 31, 2026 | 55.03 Mn |
| Dec 31, 2025 | 56.19 Mn |
| Sep 30, 2025 | 56.40 Mn |
| Jun 30, 2025 | 57.22 Mn |
| Mar 31, 2025 | 53.29 Mn |
| Dec 31, 2024 | 51.81 Mn |
| Sep 30, 2024 | 53.26 Mn |
| Jun 30, 2024 | 51.45 Mn |
| Mar 31, 2024 | 46.71 Mn |
| Dec 31, 2023 | 45.61 Mn |
| Sep 30, 2023 | 47.46 Mn |
| Jun 30, 2023 | 49.94 Mn |
| Mar 31, 2023 | 48.03 Mn |
| Dec 31, 2022 | 43.48 Mn |
| Sep 30, 2022 | 44.83 Mn |
| Jun 30, 2022 | 42.85 Mn |
| Mar 31, 2022 | 38.35 Mn |
| Dec 31, 2021 | 43.20 Mn |
| Sep 30, 2021 | 39.38 Mn |
API Access
Bancorp Operating Expenses 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=operating-expenses&ticker=TBBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();