Bancorp (TBBK) Non Operating Interest Expenses (2010 - 2024)
Bancorp (TBBK) posted Non Operating Interest Expenses of $43.5 million for Q2 2024, up 11.3% from $39.1 million a year earlier and up 5.1% from the prior quarter.
Bancorp (TBBK) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
For the trailing twelve months through Jun 30, 2024, Non Operating Interest Expenses at Bancorp was $164.9 million, up 32.1% year-over-year; for FY2023, it was $155.46 million, up 161.5% from FY2022.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 41.8% (FY2018 to FY2023).
- In prior years, Bancorp's Non Operating Interest Expenses was $59.45 million in FY2022 (+429.0%), $11.24 million in FY2021 (-29.4%), $15.92 million in FY2020 (-58.4%) and $38.28 million in FY2019 (+41.2%).
- The Q2 2024 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last five quarters, with growth averaging 210.0% over the last six quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q3 2022, with growth of 638.9%; the weakest was Q2 2020, with a decline of 82.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $41.39 million (Q1 2024), $39.91 million (Q4 2023) and $40.09 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Bancorp | 1.98 Bn | 1.63 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 43.50 Mn |
| Mar 31, 2024 | 41.39 Mn |
| Dec 31, 2023 | 39.91 Mn |
| Sep 30, 2023 | 40.09 Mn |
| Jun 30, 2023 | 39.10 Mn |
| Mar 31, 2023 | 36.36 Mn |
| Dec 31, 2022 | 30.15 Mn |
| Sep 30, 2022 | 19.26 Mn |
| Jun 30, 2022 | 7.04 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 2.56 Mn |
| Sep 30, 2021 | 2.61 Mn |
| Jun 30, 2021 | 2.91 Mn |
| Mar 31, 2021 | 3.17 Mn |
| Dec 31, 2020 | 3.23 Mn |
| Sep 30, 2020 | 2.48 Mn |
| Jun 30, 2020 | 1.65 Mn |
| Mar 31, 2020 | 8.56 Mn |
| Dec 31, 2019 | 8.36 Mn |
| Sep 30, 2019 | 10.82 Mn |
Bancorp Non Operating Interest 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=non-operating-interest-expenses&ticker=TBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();