Bone Biologics (BBLG) Operating Margin (2023 - 2024)
Bone Biologics' Operating Margin was -354327.84% in Q1 2024, up 211775.93 percentage points from -566103.78% a year earlier but down 21947.33 percentage points from the prior quarter.
Bone Biologics (BBLG) Operating Margin (2023 - 2024) Analysis & Trends
On a trailing twelve-month basis, Bone Biologics' Operating Margin was -458182.53% through Mar 31, 2024; for FY2023, it was -504727.14%.
- Quarterly Operating Margin has moved between -710249.53% (Q2 2023) and -332380.52% (Q4 2023) over five years.
- Per Business Quant data, BBLG's Operating Margin in the three quarters before Q1 2024 was -332380.52% (Q4 2023), -388225.75% (Q3 2023) and -710249.53% (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 17.44% |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 13.31% |
| 10 | Bone Biologics | 1.34 Mn | -18.66 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -354,327.84% |
| Dec 31, 2023 | -332,380.52% |
| Sep 30, 2023 | -388,225.75% |
| Jun 30, 2023 | -710,249.53% |
| Mar 31, 2023 | -566,103.78% |
Bone Biologics Operating Margin 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=operating-margin&ticker=BBLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=BBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();