Biomerica (BMRA) Price to Earnings (2011 - 2013)
Biomerica's (BMRA) Price to Earnings was 84.38 for fiscal Q1 2014 (quarter ended Aug 31, 2013), compared with 6.83 a year earlier and up 599.8% from the prior quarter.
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Analysis
Biomerica (BMRA) Price to Earnings (2011 - 2013) Analysis & Trends
For FY2013 (ended May 31, 2013), Price to Earnings at Biomerica was 12.06.
- By fiscal year, Price to Earnings came in at 0.67 in FY2012 (+46.4%) and 0.46 in FY2011.
- The fiscal Q1 2014 figure ranks as the highest quarterly Price to Earnings in data going back to fiscal Q1 2012.
- Year over year, Price to Earnings gained in three of the last four quarters, with growth averaging 20.0%.
- Per Business Quant data, the three fiscal quarters before Q1 2014 came in at 12.06 (Q4 2013), 14.82 (Q3 2013) and 7.66 (Q2 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Biomerica | 6.90 Mn | -1.34 Mn | -71,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2013 | 84.38 |
| May 31, 2013 | 12.06 |
| Feb 28, 2013 | 14.82 |
| Nov 30, 2012 | 7.66 |
| Aug 31, 2012 | 6.83 |
| May 31, 2012 | 8.75 |
| Feb 29, 2012 | 8.91 |
| Nov 30, 2011 | 6.83 |
| Aug 31, 2011 | 10.75 |
API Access
Biomerica 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=BMRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BMRA", "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=BMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();