Bio-Techne TECH
$
Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Bio-Techne (TECH) Business Model and Operations Summary
Bio-Techne Corporation, together with its subsidiaries, develops, manufactures, and sells life science reagents, instruments, and services for the research and clinical diagnostic markets worldwide. The company operates through two segments, Protein Sciences, and Diagnostics and Genomics. The Protein Sciences segment develops and manufactures biological reagents used in various aspects of life science research, diagnostics, and cell and gene therapy, such as cytokines and growth factors, antibodies, small molecules, tissue culture sera, and cell selection technologies. This segment also offers proteomic analytical tools for automated western blot and multiplexed ELISA workflow consists of manual and automated protein analysis instruments and immunoassays for use in quantifying proteins in various biological fluids. The Diagnostics and Genomics segment develops and manufactures diagnostic products, including controls, calibrators, and diagnostic assays for regulated diagnostics market, exosome-based molecular diagnostic assays, advanced tissue-based in-situ hybridization assays for spatial genomic and tissue biopsy analysis, and genetic and oncology kits for research and clinical applications; and sells products for genetic carrier screening, oncology diagnostics, molecular controls, and research, as well as instruments and process control products for hematology, blood chemistry and gases, and coagulation controls and reagents used in various diagnostic applications. It offers its products under R&D Systems, Tocris Biosciences, Novus Biologicals, ProteinSimple, Advanced Cell Diagnostics, Exosome Diagnostics, and Asuragen brands. The company was formerly known as Techne Corporation and changed its name to Bio-Techne Corporation in November 2014. Bio-Techne Corporation was founded in 1976 and is headquartered in Minneapolis, Minnesota.
Key Insights
Bio-Techne (TECH) Core Market Data and Business Metrics
Latest Closing Price
$51.84Market Cap
$7.73 BillionAverage Daily Volume
2,372,990 Shares52-Week Range
$46.01-$83.62CEO
Mr. Kim KeldermanTotal Employees
3,100IPO Date
May 8, 1989SIC Description
Biological Products, (no Disgnostic Substances)Primary Exchange
NASDAQHeadquarters
614 Mckinley Pl N E, Minneapolis, MN, 55413
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
Execution Date | Split Amount |
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