Live Oak Bancshares (LOB) Short-Term Debt repayments (2015 - 2019)
Live Oak Bancshares' Short-Term Debt repayments came in at $50,000 for Q3 2019, up 4.2% from the prior quarter.
Live Oak Bancshares (LOB) Short-Term Debt repayments (2015 - 2019) Analysis & Trends
Over the trailing twelve months to Sep 30, 2019, Live Oak Bancshares reported Short-Term Debt repayments of $194,000, down 98.1% year-over-year; for FY2018, it was $48,000, down 99.7% from FY2017.
- Short-Term Debt repayments carries a three-year compound annual growth rate of -80.1% (FY2015 to FY2018).
- Going back by year, Short-Term Debt repayments was $15 million in FY2017 and $6.1 million in FY2015.
- The Q3 2019 figure represents the highest quarterly Short-Term Debt repayments since Q3 2017.
- Business Quant data shows LOB's Short-Term Debt repayments at $48,000 (Q2 2019), $48,000 (Q1 2019) and $48,000 (Q4 2018) in the three quarters before Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Live Oak Bancshares | 1.68 Bn | 1.68 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 50,000.00 |
| Jun 30, 2019 | 48,000.00 |
| Mar 31, 2019 | 48,000.00 |
| Dec 31, 2018 | 48,000.00 |
| Sep 30, 2017 | 10.00 Mn |
| Mar 31, 2015 | 6.10 Mn |
Live Oak Bancshares Short-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=short-term-debt-repayments&ticker=LOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "LOB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=LOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();