Evofem Biosciences (EVFM) Interest Expenses (2014 - 2016)
Evofem Biosciences (EVFM) posted Interest Expenses of $1.04 million for FY2016, down 8.7% from $1.13 million in FY2015.
Powered by 
Analysis
Evofem Biosciences (EVFM) Interest Expenses (2014 - 2016) Analysis & Trends
Since FY2013, Evofem Biosciences has reported Interest Expenses for 4 years.
- Annual Interest Expenses shows a three-year compound annual growth rate of 163.2% (FY2013 to FY2016).
- Annual Interest Expenses has run from a low of $56,808 in FY2013 to a high of $1.13 million in FY2015 over five years.
- Business Quant data shows EVFM's Interest Expenses at $1.13 million in FY2015 (+202.5%), $374,891 in FY2014 (+559.9%) and $56,808 in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.71 Bn | 1,140.30 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 642.13 Bn | 560.65 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 501.64 Bn | 474.75 Bn | 12.70 Bn | - |
| 4 | Merck | 375.66 Bn | 330.04 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.79 Bn | 266.78 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 268.68 Bn | 242.37 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 242.43 Bn | 197.83 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 193.69 Bn | 167.89 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 172.47 Bn | 119.12 Bn | 10.94 Bn | - |
| 10 | Evofem Biosciences | 1.33 Mn | 1.33 Mn | 2.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 506,302.00 |
| Jun 30, 2016 | 154,057.00 |
| Mar 31, 2016 | 265,124.00 |
| Dec 31, 2015 | 289,148.00 |
| Sep 30, 2015 | 287,916.00 |
| Jun 30, 2015 | 285,077.00 |
| Mar 31, 2015 | 271,846.00 |
| Dec 31, 2014 | 212,284.00 |
| Sep 30, 2014 | 132,109.00 |
| Jun 30, 2014 | 26,312.00 |
| Mar 31, 2014 | 4,186.00 |
API Access
Evofem Biosciences 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=EVFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "EVFM", "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=EVFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();