Bone Biologics (BBLG) Accumulated Expenses (2010 - 2013)
Bone Biologics (BBLG) posted Accumulated Expenses of $3,584 for FY2013, down 20.2% from $4,494 in FY2012.
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Analysis
Bone Biologics (BBLG) Accumulated Expenses (2010 - 2013) Analysis & Trends
Since FY2010, Bone Biologics has reported Accumulated Expenses for 4 years.
- Annual Accumulated Expenses shows a three-year compound annual growth rate of -0.1% (FY2010 to FY2013).
- Business Quant data shows BBLG's Accumulated Expenses at $4,494 in FY2012 (-8.7%), $4,920 in FY2011 (+36.8%) and $3,597 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Bone Biologics | 905,190.00 | 905,190.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2013 | 3,186.00 |
| Apr 30, 2013 | 7,125.00 |
| Jan 31, 2013 | 6,082.00 |
| Oct 31, 2012 | 4,494.00 |
| Jul 31, 2012 | 9,514.00 |
| Apr 30, 2012 | 8,326.00 |
| Jan 31, 2012 | 6,276.00 |
| Oct 31, 2011 | 4,920.00 |
| Jul 31, 2011 | 6,799.00 |
| Oct 31, 2010 | 3,597.00 |
API Access
Bone Biologics Accumulated 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=accumulated-expenses&ticker=BBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();