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- SGML vs PHLT Comparison
SGML vs PHLT Comparison
Compare SGML & PHLT Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- SGML
- PHLT
- Stock Information
- Founded
- SGML 2011
- PHLT 1976
- Country
- SGML Brazil
- PHLT United States
- Employees
- SGML N/A
- PHLT N/A
- Industry
- SGML Industrial Machinery/Components
- PHLT Other Consumer Services
- Sector
- SGML Industrials
- PHLT Consumer Discretionary
- Exchange
- SGML Nasdaq
- PHLT Nasdaq
- Market Cap
- SGML 743.4M
- PHLT 601.2M
- IPO Year
- SGML N/A
- PHLT N/A
- Fundamental
- Price
- SGML $6.12
- PHLT $7.58
- Analyst Decision
- SGML Strong Buy
- PHLT Buy
- Analyst Count
- SGML 2
- PHLT 2
- Target Price
- SGML $18.00
- PHLT $7.88
- AVG Volume (30 Days)
- SGML 3.4M
- PHLT 2.5M
- Earning Date
- SGML 08-15-2025
- PHLT 08-07-2025
- Dividend Yield
- SGML N/A
- PHLT N/A
- EPS Growth
- SGML N/A
- PHLT N/A
- EPS
- SGML N/A
- PHLT N/A
- Revenue
- SGML $134,494,014.00
- PHLT $137,357,000.00
- Revenue This Year
- SGML N/A
- PHLT $10.99
- Revenue Next Year
- SGML $42.31
- PHLT $11.47
- P/E Ratio
- SGML N/A
- PHLT N/A
- Revenue Growth
- SGML N/A
- PHLT 15.21
- 52 Week Low
- SGML $4.25
- PHLT $2.17
- 52 Week High
- SGML $15.56
- PHLT $7.74
- Technical
- Relative Strength Index (RSI)
- SGML 52.63
- PHLT 84.17
- Support Level
- SGML $5.80
- PHLT $3.37
- Resistance Level
- SGML $7.39
- PHLT $7.63
- Average True Range (ATR)
- SGML 0.53
- PHLT 0.02
- MACD
- SGML 0.03
- PHLT -0.06
- Stochastic Oscillator
- SGML 48.37
- PHLT 17.65
About SGML Sigma Lithium Corporation
Sigma Lithium Corp together with its direct and indirect subsidiaries, is a commercial producer of lithium concentrate. It holds a 100% interest in four mineral properties: Grota do Cirilo, Sao Jose, Santa Clara, and Genipapo, located in the municipalities of Aracuai and Itinga, in the Vale do Jequitinhonha region in the State of Minas Gerais, Brazil.
About PHLT Performant Healthcare Inc. Common Stock
Performant Healthcare Inc provides solutions to payers in the healthcare industry to identify, prevent, and recover waste and improper payments by leveraging technology, analytics, and proprietary data assets.