Franklin Financial Services (FRAF) Long-Term Debt Repayments (2009 - 2014)
Franklin Financial Services' Long-Term Debt Repayments was $9 million in FY2025.
Analysis
Franklin Financial Services (FRAF) Long-Term Debt Repayments (2009 - 2014) Analysis & Trends
From FY2009 onward, Franklin Financial Services has reported Long-Term Debt Repayments for 7 years.
- The FY2025 figure marks the highest annual Long-Term Debt Repayments since FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 12.00 Mn |
| Jun 30, 2014 | 401,000.00 |
| Mar 31, 2014 | 2,000.00 |
| Dec 31, 2013 | 2,000.00 |
| Sep 30, 2013 | 1,000.00 |
| Jun 30, 2013 | 2,000.00 |
| Mar 31, 2013 | 2,000.00 |
| Dec 31, 2012 | 25.51 Mn |
| Sep 30, 2012 | 8.37 Mn |
| Jun 30, 2012 | 367,000.00 |
| Mar 31, 2012 | 1.68 Mn |
| Dec 31, 2011 | 556,000.00 |
| Sep 30, 2011 | 412,000.00 |
| Jun 30, 2011 | 12.41 Mn |
| Mar 31, 2011 | 9.17 Mn |
| Dec 31, 2010 | 20.46 Mn |
| Sep 30, 2010 | 2.45 Mn |
| Jun 30, 2010 | 1.34 Mn |
| Mar 31, 2010 | -444,000.00 |
| Dec 31, 2009 | 15.23 Mn |
API Access
Franklin Financial Services 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=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "FRAF", "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=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();