BioCardia (BCDA) Non Operating Interest Expenses (2016 - 2020)
BioCardia (BCDA) posted Non Operating Interest Expenses of $1,000 for Q4 2020, unchanged from the prior quarter.
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Analysis
BioCardia (BCDA) Non Operating Interest Expenses (2016 - 2020) Analysis & Trends
For FY2020, BioCardia's Non Operating Interest Expenses came in at $3,000, down 97.3% from FY2019.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -70.7% (FY2015 to FY2020).
- In prior years, BioCardia's Non Operating Interest Expenses was $112,000 in FY2019 and $1.74 million in FY2016 (+25.3%).
- Quarterly Non Operating Interest Expenses has run from a low of $1,000 in Q3 2020 to a high of $557,000 in Q2 2016 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | BioCardia | 12.21 Mn | -649,799.44 | - | - |
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 Non Operating 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=non-operating-interest-expenses&ticker=BCDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();