Bone Biologics (BBLG) Interest Expenses (2014 - 2017)
Bone Biologics (BBLG) recorded Interest Expenses of $1.24 million in Q3 2017, up 243.8% from $362,166 a year earlier and up 30.1% from the prior quarter.
Bone Biologics (BBLG) Interest Expenses (2014 - 2017) Analysis & Trends
On a TTM basis, Bone Biologics' Interest Expenses came in at $3.33 million as of Sep 30, 2017, up 90.2% year-over-year; for FY2014, it came in at $1.4 million, up 242.6% from FY2013.
- Across earlier years, Interest Expenses came in at $409,419 in FY2013.
- The Q3 2017 figure is the highest quarterly Interest Expenses in data going back to Q1 2014.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with growth averaging 124.7% over the last four quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Bone Biologics | 738,825.63 | -21.32 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.24 Mn |
| Jun 30, 2017 | 957,062.00 |
| Mar 31, 2017 | 762,352.00 |
| Sep 30, 2016 | 362,166.00 |
| Jun 30, 2016 | 359,908.00 |
| Mar 31, 2016 | 310,089.00 |
| Mar 31, 2015 | 716,799.00 |
| Dec 31, 2014 | 274,347.00 |
| Sep 30, 2014 | 877,704.00 |
| Mar 31, 2014 | 147,598.00 |
Bone Biologics 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=BBLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "BBLG", "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=BBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();