BioCardia (BCDA) Interest Expenses (2016 - 2020)
BioCardia (BCDA) reported Interest Expenses of $1,000 for Q4 2020, unchanged from the prior quarter.
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Analysis
BioCardia (BCDA) Interest Expenses (2016 - 2020) Analysis & Trends
For FY2020, BioCardia posted Interest Expenses of $3,000, down 97.3% from FY2019.
- Interest Expenses has a five-year compound annual growth rate of -70.7% (FY2015 to FY2020).
- By year, Interest Expenses came in at $112,000 in FY2019 and $1.74 million in FY2016 (+25.3%).
- Five-year quarterly Interest Expenses spans a low of $1,000 in Q3 2020 and a high of $557,000 in Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.12 Bn | 1,134.70 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 634.67 Bn | 553.20 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.03 Bn | 476.14 Bn | 12.70 Bn | - |
| 4 | Merck | 377.66 Bn | 332.04 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 303.82 Bn | 267.81 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 266.80 Bn | 240.49 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 240.87 Bn | 196.27 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 193.45 Bn | 167.65 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 172.20 Bn | 118.84 Bn | 10.94 Bn | - |
| 10 | BioCardia | 11.86 Mn | -1.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1,000.00 |
| Sep 30, 2020 | 1,000.00 |
| Sep 30, 2019 | 112,000.00 |
| Dec 31, 2016 | 109,000.00 |
| Sep 30, 2016 | 520,000.00 |
| Jun 30, 2016 | 557,000.00 |
| Mar 31, 2016 | 550,000.00 |
API Access
BioCardia Interest Expenses 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=interest-expenses&ticker=BCDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "BCDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();