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KNOP vs OSS Comparison

Compare KNOP & OSS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.

Logo KNOT Offshore Partners LP

KNOP

KNOT Offshore Partners LP

HOLD

Current Price

$10.24

Market Cap

355.2M

ML Signal

HOLD

OSS

One Stop Systems Inc.

HOLD

Current Price

$10.87

Market Cap

309.4M

Sector

Technology

ML Signal

HOLD

Company Overview

Basic Information
Metric
KNOP
OSS
Founded
2013
1998
Country
United Kingdom
United States
Employees
N/A
N/A
Industry
Marine Transportation
Computer Manufacturing
Sector
Consumer Discretionary
Technology
Exchange
Nasdaq
Nasdaq
Market Cap
355.2M
309.4M
IPO Year
2012
2017

Fundamental Metrics

Financial Performance
Metric
KNOP
OSS
Price
$10.24
$10.87
Analyst Decision
Hold
Strong Buy
Analyst Count
1
2
Target Price
N/A
$10.00
AVG Volume (30 Days)
52.5K
1.1M
Earning Date
05-19-2026
05-06-2026
Dividend Yield
1.86%
N/A
EPS Growth
N/A
133.85
EPS
N/A
N/A
Revenue
N/A
$37,027,382.00
Revenue This Year
$3.51
$22.19
Revenue Next Year
N/A
$20.67
P/E Ratio
$9.00
N/A
Revenue Growth
N/A
34.46
52 Week Low
$6.76
$4.17
52 Week High
$11.78
$20.88

Technical Indicators

Market Signals
Indicator
KNOP
OSS
Relative Strength Index (RSI) 43.79 34.74
Support Level $10.04 $8.11
Resistance Level $10.85 $11.41
Average True Range (ATR) 0.29 1.09
MACD -0.03 -0.14
Stochastic Oscillator 23.81 11.78

Price Performance

Historical Comparison
KNOP
OSS

About KNOP KNOT Offshore Partners LP

KNOT Offshore Partners LP owns, operates, and shuttles tankers under long-term charters in the North Sea and Brazil. The company provides crude oil loading, transportation, and storage services under time charters and bareboat charters. The Partnership is formed for acquiring ownership interests in over four shuttle tankers owned by Knutsen NYK Offshore Tankers AS (KNOT). It operates through the shuttle tanker market segment.

About OSS One Stop Systems Inc.

One Stop Systems Inc designs, manufactures, and markets specialized rugged high-performance compute ("HPC"), high-speed switch fabrics, and storage systems, which are designed to target edge applications for artificial intelligence ("AI") / machine learning ("ML"), sensor processing, sensor fusion, and autonomy.

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