Abbott Laboratories ABT
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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
Abbott Laboratories (ABT) Business Model and Operations Summary
Abbott Laboratories, together with its subsidiaries, discovers, develops, manufactures, and sells health care products worldwide. It operates in four segments: Established Pharmaceutical Products, Diagnostic Products, Nutritional Products, and Medical Devices. The Established Pharmaceutical Products segment provides generic pharmaceuticals for the treatment of pancreatic exocrine insufficiency, irritable bowel syndrome or biliary spasm, intrahepatic cholestasis or depressive symptoms, gynecological disorder, hormone replacement therapy, dyslipidemia, hypertension, hypothyroidism, Ménière's disease and vestibular vertigo, pain, fever, inflammation, and migraine, as well as provides anti-infective clarithromycin, influenza vaccine, and products to regulate physiological rhythm of the colon. The Diagnostic Products segment offers laboratory systems in the areas of immunoassay, clinical chemistry, hematology, and transfusion; molecular diagnostics systems that automate the extraction, purification, and preparation of DNA and RNA from patient samples, as well as detect and measure infectious agents; point of care systems; cartridges for testing blood; rapid diagnostics lateral flow testing products; molecular point-of-care testing for HIV, SARS-CoV-2, influenza A and B, RSV, and strep A; cardiometabolic test systems; drug and alcohol test, and remote patient monitoring and consumer self-test systems; and informatics and automation solutions for use in laboratories. The Nutritional Products segment provides pediatric and adult nutritional products. The Medical Devices segment offers rhythm management, electrophysiology, heart failure, vascular, and structural heart devices for the treatment of cardiovascular diseases; and diabetes care products, as well as neuromodulation devices for the management of chronic pain and movement disorders. Abbott Laboratories was founded in 1888 and is based in North Chicago, Illinois.
Key Insights
Abbott Laboratories (ABT) Core Market Data and Business Metrics
Latest Closing Price
$128.56Market Cap
$233.05 BillionAverage Trade Volume
7,132,408 SharesTotal Outstanding Shares
1.74 Billion SharesCEO
Mr. Robert B. FordTotal Employees
114,000IPO Date
April 19, 1949SIC Description
Pharmaceutical PreparationsPrimary Exchange
New York Stock ExchangeHeadquarters
100 Abbott Park Road, Abbott Park, IL, 60064-3500
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
Segment | Revenue | YoY Change |
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Historical Stock Splits
Execution Date | Split Amount |
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Historical Dividends
Announcement Date | Payment Date | Record Date | Amount | Frequency |
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No historical dividends |