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EAF vs ZSQR Comparison

Compare EAF & ZSQR Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.

Logo GrafTech International Ltd.

EAF

GrafTech International Ltd.

N/A

Current Price

$7.13

Market Cap

198.6M

Sector

Energy

ML Signal

N/A

Logo Z Squared Inc. Common Stock

ZSQR

Z Squared Inc. Common Stock

N/A

Current Price

$2.31

Market Cap

204.6M

Sector

Finance

ML Signal

N/A

Company Overview

Basic Information
Metric
EAF
ZSQR
Founded
1886
N/A
Country
United States
United States
Employees
N/A
N/A
Industry
Industrial Machinery/Components
Finance: Consumer Services
Sector
Energy
Finance
Exchange
Nasdaq
Nasdaq
Market Cap
198.6M
204.6M
IPO Year
2018
2020

Fundamental Metrics

Financial Performance
Metric
EAF
ZSQR
Price
$7.13
$2.31
Analyst Decision
Hold
Analyst Count
5
0
Target Price
$11.75
N/A
AVG Volume (30 Days)
363.7K
326.7K
Earning Date
05-01-2026
N/A
Dividend Yield
N/A
N/A
EPS Growth
N/A
50.27
EPS
N/A
N/A
Revenue
$504,134,000.00
$1,363,045.00
Revenue This Year
$4.25
N/A
Revenue Next Year
$12.49
N/A
P/E Ratio
N/A
N/A
Revenue Growth
N/A
N/A
52 Week Low
$4.92
$2.81
52 Week High
$20.32
$16.62

Technical Indicators

Market Signals
Indicator
EAF
ZSQR
Relative Strength Index (RSI) 46.97 31.67
Support Level $6.20 N/A
Resistance Level $8.06 $4.38
Average True Range (ATR) 0.66 0.44
MACD -0.04 0.07
Stochastic Oscillator 44.60 0.00

Price Performance

Historical Comparison
EAF
ZSQR

About EAF GrafTech International Ltd.

GrafTech International Ltd is a manufacturer of high-quality graphite electrode products essential to the production of EAF steel and other ferrous and non-ferrous metals. The company has only reportable segment, Industrial Materials, is comprised of its two product categories: graphite electrodes and petroleum needle coke products used as raw material in the production of graphite electrodes.

About ZSQR Z Squared Inc. Common Stock

Z Squared Inc is a computing infrastructure company operating computing equipment and expanding into AI infrastructure. The Company's idea is to build on three principles: guide with power by acquiring operating sites where power is already flowing; build for AI workloads by converting that capacity into AI-ready colocation where the customer brings the compute and runs what it needs; and scale with discipline by deploying conversion capital site by site, against signed contracts and operational readiness.

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