Cardiff Oncology (CRDF) Long-Term Debt Repayments (2016 - 2018)
Cardiff Oncology's Long-Term Debt Repayments came in at $1.2 million for FY2018, down 92.0% from $15 million in FY2017.
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Analysis
Cardiff Oncology (CRDF) Long-Term Debt Repayments (2016 - 2018) Analysis & Trends
Going back to FY2014, Cardiff Oncology's Long-Term Debt Repayments data covers 4 years.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 23.5% (FY2014 to FY2018).
- The FY2018 figure represents the lowest annual Long-Term Debt Repayments since FY2014.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $15 million in FY2017 (+68.6%), $8.9 million in FY2016 and $515,964 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.17 Bn | 1,101.76 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 634.79 Bn | 554.65 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 506.40 Bn | 479.51 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 357.93 Bn | 312.31 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 292.69 Bn | 256.68 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 265.19 Bn | 238.87 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 238.22 Bn | 193.61 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 195.23 Bn | 169.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 171.11 Bn | 117.76 Bn | 10.94 Bn | - |
| 10 | Cardiff Oncology | 61.58 Mn | 27.08 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 1.04 Mn |
| Mar 31, 2018 | 156,526.00 |
| Dec 31, 2017 | 156,526.00 |
| Sep 30, 2017 | 156,526.00 |
| Jun 30, 2017 | 15.16 Mn |
| Mar 31, 2017 | 156,526.00 |
| Dec 31, 2016 | 52,175.00 |
| Sep 30, 2016 | 6.58 Mn |
| Jun 30, 2016 | 1.40 Mn |
| Mar 31, 2016 | 919,864.00 |
API Access
Cardiff Oncology 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=CRDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CRDF", "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=CRDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();