Phio Pharmaceuticals (PHIO) Long-Term Debt Repayments (2011 - 2020)
Phio Pharmaceuticals' Long-Term Debt Repayments came in at $6,000 for FY2019.
Analysis
Phio Pharmaceuticals (PHIO) Long-Term Debt Repayments (2011 - 2020) Analysis & Trends
Going back to FY2011, Phio Pharmaceuticals' Long-Term Debt Repayments data covers 4 years.
- The FY2019 figure represents the highest annual Long-Term Debt Repayments since FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,163.48 Bn | 1,132.06 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 631.16 Bn | 549.69 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 502.63 Bn | 475.74 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 378.53 Bn | 332.91 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 302.83 Bn | 266.82 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 265.92 Bn | 239.60 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 240.87 Bn | 196.27 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.04 Bn | 168.24 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.14 Bn | 118.78 Bn | 10.94 Bn | - |
| 10 | Phio Pharmaceuticals | 10.63 Mn | -51.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 9,000.00 |
| Jun 30, 2020 | 9,000.00 |
| Mar 31, 2020 | 9,000.00 |
| Dec 31, 2019 | 6,000.00 |
| Jun 30, 2013 | 2,000.00 |
| Mar 31, 2013 | 3,000.00 |
| Dec 31, 2012 | 3,000.00 |
| Sep 30, 2012 | 7,000.00 |
| Jun 30, 2012 | 7,000.00 |
| Mar 31, 2012 | 12,000.00 |
| Dec 31, 2011 | 11,000.00 |
| Sep 30, 2011 | 60,000.00 |
| Jun 30, 2011 | 23,000.00 |
| Mar 31, 2011 | 23,000.00 |
API Access
Phio Pharmaceuticals 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=PHIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PHIO", "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=PHIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();