Harvard Bioscience (HBIO) Price to Earnings (2011 - 2015)
Harvard Bioscience's (HBIO) Price to Earnings was 825.59 for Q1 2015, up 953.0% from the prior quarter.
Analysis
Harvard Bioscience (HBIO) Price to Earnings (2011 - 2015) Analysis & Trends
For FY2014, Price to Earnings at Harvard Bioscience was 78.40.
- By year, Price to Earnings came in at 41.17 in FY2012 (+87.4%), 21.97 in FY2011 (+377.0%) and 4.61 in FY2010 (-58.5%).
- Five-year quarterly Price to Earnings spans a low of 6.41 in Q2 2011 and a high of 146675.67 in Q2 2014.
- Per Business Quant data, the three quarters before Q1 2015 came in at 78.40 (Q4 2014), 81.84 (Q3 2014) and 146675.67 (Q2 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | Harvard Bioscience | 37.47 Mn | 8.43 Mn | 12.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 825.59 |
| Dec 31, 2014 | 78.40 |
| Sep 30, 2014 | 81.84 |
| Jun 30, 2014 | 146,675.67 |
| Sep 30, 2013 | 974.37 |
| Jun 30, 2013 | 109.98 |
| Mar 31, 2013 | 66.41 |
| Dec 31, 2012 | 41.17 |
| Sep 30, 2012 | 48.44 |
| Jun 30, 2012 | 39.77 |
| Mar 31, 2012 | 32.06 |
| Dec 31, 2011 | 21.97 |
| Sep 30, 2011 | 17.34 |
| Jun 30, 2011 | 6.41 |
| Mar 31, 2011 | 6.62 |
API Access
Harvard Bioscience Price to Earnings 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=price-to-earnings&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "HBIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();