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- ORGN vs RENB Comparison
ORGN vs RENB Comparison
Compare ORGN & RENB Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- ORGN
- RENB
- Stock Information
- Founded
- ORGN 2008
- RENB 2011
- Country
- ORGN United States
- RENB United States
- Employees
- ORGN N/A
- RENB 25
- Industry
- ORGN Major Chemicals
- RENB Biotechnology: Pharmaceutical Preparations
- Sector
- ORGN Industrials
- RENB Health Care
- Exchange
- ORGN Nasdaq
- RENB Nasdaq
- Market Cap
- ORGN 124.1M
- RENB 101.3M
- IPO Year
- ORGN N/A
- RENB N/A
- Fundamental
- Price
- ORGN $1.40
- RENB $0.65
- Analyst Decision
- ORGN Strong Buy
- RENB
- Analyst Count
- ORGN 1
- RENB 0
- Target Price
- ORGN $3.00
- RENB N/A
- AVG Volume (30 Days)
- ORGN 755.5K
- RENB 721.9K
- Earning Date
- ORGN 11-07-2024
- RENB 10-10-2024
- Dividend Yield
- ORGN N/A
- RENB N/A
- EPS Growth
- ORGN N/A
- RENB N/A
- EPS
- ORGN N/A
- RENB N/A
- Revenue
- ORGN $34,061,000.00
- RENB N/A
- Revenue This Year
- ORGN $10.62
- RENB N/A
- Revenue Next Year
- ORGN $175.99
- RENB N/A
- P/E Ratio
- ORGN N/A
- RENB N/A
- Revenue Growth
- ORGN 295.97
- RENB N/A
- 52 Week Low
- ORGN $0.44
- RENB $0.40
- 52 Week High
- ORGN $1.90
- RENB $5.25
- Technical
- Relative Strength Index (RSI)
- ORGN 43.99
- RENB 53.19
- Support Level
- ORGN $1.41
- RENB $0.55
- Resistance Level
- ORGN $1.53
- RENB $1.01
- Average True Range (ATR)
- ORGN 0.07
- RENB 0.12
- MACD
- ORGN -0.01
- RENB 0.03
- Stochastic Oscillator
- ORGN 35.00
- RENB 41.27
About ORGN Origin Materials Inc.
Origin Materials Inc is a carbon-negative materials company. The platform turns the carbon found in biomass into useful materials, while eliminating the need for fossil resources and capturing carbon in the process. Its products include, PET circular caps and closures, Para-xylene, carbon black, Levulinic acid among others.
About RENB Renovaro Biosciences Inc.
Renovaro Inc is a biopharmaceutical company. It is engaged in developing new immunotherapies to combat cancer and developing a predicative artificial intelligence-based diagnostic methodology for the use of earlier cancer detection.