Banner (BANR) Long-Term Debt Repayments (2010 - 2022)
Banner (BANR) recorded Long-Term Debt Repayments of $80.5 million in FY2025.
Analysis
Banner (BANR) Long-Term Debt Repayments (2010 - 2022) Analysis & Trends
Starting with FY2009, Banner's Long-Term Debt Repayments history includes 7 years.
- Annual Long-Term Debt Repayments has a four-year compound annual growth rate of 76.8% (FY2021 to FY2025).
- The FY2025 figure is the highest annual Long-Term Debt Repayments since FY2010.
- Per Business Quant data, BANR's Long-Term Debt Repayments was $50.52 million in FY2022 (+512.5%) and $8.25 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Banner | 2.28 Bn | 306.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 50.52 Mn |
| Dec 31, 2021 | 8.25 Mn |
| Mar 31, 2013 | 10.00 Mn |
| Dec 31, 2012 | 2,000.00 |
| Sep 30, 2012 | 7,000.00 |
| Jun 30, 2012 | -5,000.00 |
| Mar 31, 2012 | 2,000.00 |
| Dec 31, 2011 | 2,000.00 |
| Sep 30, 2011 | 65.61 Mn |
| Jun 30, 2011 | -2,000.00 |
| Mar 31, 2011 | -32.80 Mn |
| Dec 31, 2010 | 288.01 Mn |
| Sep 30, 2010 | -2,000.00 |
API Access
Banner Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BANR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BANR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();