Biomerica (BMRA) Operating Expenses (2010 - 2026)
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Analysis
Biomerica (BMRA) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Biomerica | 5.64 Mn | -2.28 Mn | 103,000.00 | 1.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.33 Mn |
| May 31, 2026 | 1.46 Mn |
| Feb 28, 2026 | 1.25 Mn |
| Nov 30, 2025 | 1.42 Mn |
| Aug 31, 2025 | 1.54 Mn |
| May 31, 2025 | 1.32 Mn |
| Feb 28, 2025 | 1.23 Mn |
| Nov 30, 2024 | 1.43 Mn |
| Aug 31, 2024 | 1.66 Mn |
| May 31, 2024 | 1.55 Mn |
| Feb 29, 2024 | 1.85 Mn |
| Nov 30, 2023 | 1.93 Mn |
| Aug 31, 2023 | 1.64 Mn |
| May 31, 2023 | 1.87 Mn |
| Feb 28, 2023 | 1.77 Mn |
| Nov 30, 2022 | 2.02 Mn |
| Aug 31, 2022 | 2.02 Mn |
| May 31, 2022 | 2.38 Mn |
| Feb 28, 2022 | 1.78 Mn |
| Nov 30, 2021 | 1.90 Mn |
API Access
Biomerica Operating 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=operating-expenses&ticker=BMRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();