Bone Biologics (BBLG) Property, Plant & Equipment (Net) (2014 - 2019)
Bone Biologics (BBLG) posted Property, Plant & Equipment (Net) of $26.00 for Q1 2019, down 78.7% from $122.00 a year earlier and down 48.0% from the prior quarter.
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Analysis
Bone Biologics (BBLG) Property, Plant & Equipment (Net) (2014 - 2019) Analysis & Trends
At the end of FY2018, Bone Biologics' Property, Plant & Equipment (Net) came in at $50.00, down 65.8% from FY2017.
- Annual Property, Plant & Equipment (Net) has declined for four consecutive years, with a four-year compound annual growth rate of -74.4% (FY2014 to FY2018).
- In prior years, Bone Biologics' Property, Plant & Equipment (Net) was $146.00 in FY2017 (-39.7%), $242.00 in FY2016 (-95.8%), $5,804 in FY2015 (-50.1%) and $11,621 in FY2014.
- The Q1 2019 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2014.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 14 quarters, with an average decline of 51.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Property, Plant & Equipment (Net) ranged from 39.7% (Q4 2017) to 97.3% (Q3 2016).
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $50.00 (Q4 2018), $74.00 (Q3 2018) and $98.00 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Bone Biologics | 868,982.38 | 868,982.38 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 26.00 |
| Dec 31, 2018 | 50.00 |
| Sep 30, 2018 | 74.00 |
| Jun 30, 2018 | 98.00 |
| Mar 31, 2018 | 122.00 |
| Dec 31, 2017 | 146.00 |
| Sep 30, 2017 | 170.00 |
| Jun 30, 2017 | 194.00 |
| Mar 31, 2017 | 218.00 |
| Dec 31, 2016 | 242.00 |
| Sep 30, 2016 | 282.00 |
| Jun 30, 2016 | 322.00 |
| Mar 31, 2016 | 362.00 |
| Dec 31, 2015 | 5,804.00 |
| Sep 30, 2015 | 10,413.00 |
| Jun 30, 2015 | 10,983.00 |
| Mar 31, 2015 | 11,554.00 |
| Dec 31, 2014 | 11,621.00 |
API Access
Bone Biologics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();