Lisata Therapeutics (LSTA) Non-Current Debt (2011 - 2018)
Lisata Therapeutics' Non-Current Debt came in at $23,290 for Q2 2017, down 99.4% from $3.81 million a year earlier and down 99.5% from the prior quarter.
Lisata Therapeutics (LSTA) Non-Current Debt (2011 - 2018) Analysis & Trends
At the end of FY2016, Lisata Therapeutics' Non-Current Debt was $2.52 million, down 76.7% from FY2015.
- Non-Current Debt carries a four-year compound annual growth rate of 95.9% (FY2012 to FY2016).
- Going back by year, Non-Current Debt was $10.83 million in FY2015 (-22.0%), $13.89 million in FY2014, $531,164 in FY2013 (+209.7%) and $171,528 in FY2012.
- The Q2 2017 figure represents the lowest quarterly Non-Current Debt in data going back to Q2 2011.
- Year-over-year, Non-Current Debt has declined for eight consecutive quarters, with an average decline of 54.4% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in Q3 2013 (growth of 620.9%), and the weakest in Q2 2017 (a decline of 99.4%).
- Business Quant data shows LSTA's Non-Current Debt at $4.45 million (Q1 2017), $2.52 million (Q4 2016) and $4.33 million (Q3 2016) in the three quarters before Q2 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Lisata Therapeutics | 9.47 Mn | -49.03 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 100,000.00 |
| Dec 31, 2017 | 200,000.00 |
| Sep 30, 2017 | 400,000.00 |
| Jun 30, 2017 | 600,000.00 |
| Mar 31, 2017 | 4.45 Mn |
| Dec 31, 2016 | 2.52 Mn |
| Sep 30, 2016 | 4.33 Mn |
| Jun 30, 2016 | 1.00 Mn |
| Mar 31, 2016 | 7.49 Mn |
| Dec 31, 2015 | 1.10 Mn |
| Sep 30, 2015 | 12.25 Mn |
| Jun 30, 2015 | 13.64 Mn |
| Mar 31, 2015 | 12.76 Mn |
| Dec 31, 2014 | 13.89 Mn |
| Sep 30, 2014 | 15.00 Mn |
| Jun 30, 2014 | 5.73 Mn |
| Mar 31, 2014 | 5.54 Mn |
| Dec 31, 2013 | 900,000.00 |
| Sep 30, 2013 | 1.15 Mn |
| Jun 30, 2013 | 720,365.00 |
Lisata Therapeutics Non-Current Debt 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-current-debt&ticker=LSTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "LSTA", "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-current-debt&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();