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NTIP vs BIRD Comparison

Compare NTIP & BIRD Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.

Logo Network-1 Technologies Inc.

NTIP

Network-1 Technologies Inc.

N/A

Current Price

$1.60

Market Cap

37.3M

Sector

Miscellaneous

ML Signal

N/A

Logo Allbirds Inc.

BIRD

Allbirds Inc.

N/A

Current Price

$3.44

Market Cap

30.1M

ML Signal

N/A

Company Overview

Basic Information
Metric
NTIP
BIRD
Founded
1990
2015
Country
United States
United States
Employees
N/A
N/A
Industry
Multi-Sector Companies
Apparel
Sector
Miscellaneous
Consumer Discretionary
Exchange
Nasdaq
Nasdaq
Market Cap
37.3M
30.1M
IPO Year
2013
2021

Fundamental Metrics

Financial Performance
Metric
NTIP
BIRD
Price
$1.60
$3.44
Analyst Decision
Analyst Count
0
0
Target Price
N/A
N/A
AVG Volume (30 Days)
17.3K
★ 218.9K
Earning Date
11-05-2026
11-05-2026
Dividend Yield
★ 6.25%
N/A
EPS Growth
15.38
★ 20.22
EPS
★ N/A
N/A
Revenue
$150,000.00
★ $152,466,000.00
Revenue This Year
N/A
N/A
Revenue Next Year
N/A
$487.91
P/E Ratio
★ N/A
N/A
Revenue Growth
★ 50.00
N/A
52 Week Low
$1.24
$2.15
52 Week High
$1.75
$24.31

Technical Indicators

Market Signals
Indicator
NTIP
BIRD
Relative Strength Index (RSI) 54.51 59.78
Support Level $1.42 $2.22
Resistance Level $1.66 $2.71
Average True Range (ATR) 0.07 0.12
MACD 0.00 0.03
Stochastic Oscillator 64.12 95.12

Price Performance

Historical Comparison
NTIP
BIRD

About NTIP Network-1 Technologies Inc.

Network-1 Technologies Inc is involved in the business of the development, licensing, and protection of intellectual property assets. The company's current plan includes continuing to pursue licensing opportunities for its intellectual property assets.

About BIRD Allbirds Inc.

Smartbird Inc delivers dedicated AI infrastructure as a service, giving organizations the performance, control, and security of a private AI cluster without requiring them to finance, operate, or maintain the underlying infrastructure. Smartbird manages the entire lifecycle, from procurement and deployment to operations and hardware refreshes, so customers can focus on AI workloads, not AI infrastructure.

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