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DC vs AMBQ Comparison

Compare DC & AMBQ Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.

Logo Dakota Gold Corp.

DC

Dakota Gold Corp.

HOLD

Current Price

$6.63

Market Cap

620.7M

ML Signal

HOLD

AMBQ

Ambiq Micro Inc.

N/A

Current Price

$31.36

Market Cap

634.4M

Sector

Technology

ML Signal

N/A

Company Overview

Basic Information
Metric
DC
AMBQ
Founded
2017
2010
Country
United States
United States
Employees
N/A
N/A
Industry
Precious Metals
Semiconductors
Sector
Basic Materials
Technology
Exchange
Nasdaq
Nasdaq
Market Cap
620.7M
634.4M
IPO Year
N/A
2025

Fundamental Metrics

Financial Performance
Metric
DC
AMBQ
Price
$6.63
$31.36
Analyst Decision
Strong Buy
Buy
Analyst Count
2
4
Target Price
$9.38
$41.75
AVG Volume (30 Days)
1.5M
220.4K
Earning Date
11-13-2025
02-14-2026
Dividend Yield
N/A
N/A
EPS Growth
N/A
N/A
EPS
N/A
N/A
Revenue
N/A
$72,109,000.00
Revenue This Year
N/A
N/A
Revenue Next Year
N/A
$22.30
P/E Ratio
N/A
N/A
Revenue Growth
N/A
10.03
52 Week Low
$2.21
$22.12
52 Week High
$7.25
$51.76

Technical Indicators

Market Signals
Indicator
DC
AMBQ
Relative Strength Index (RSI) 61.96 47.97
Support Level $6.21 $31.76
Resistance Level $7.25 $36.88
Average True Range (ATR) 0.39 2.43
MACD 0.03 -0.37
Stochastic Oscillator 64.89 12.89

Price Performance

Historical Comparison
DC
AMBQ

About DC Dakota Gold Corp.

Dakota Gold Corp is a gold exploration and development company with a specific focus on revitalizing the Homestake District in Lead, South Dakota. Dakota Gold has high-caliber gold mineral properties covering over 48 thousand acres surrounding the historic Homestake Mine. Company project includes Richmond Hill Project.

About AMBQ Ambiq Micro Inc.

Ambiq Micro Inc is a fabless semiconductor company that has developed technology based on a patented Sub-threshold Power Optimized Technology (SPOT) platform that significantly reduces the amount of power consumed by integrated circuits. It is a pioneer and provider of ultra-low power semiconductor solutions designed to address the significant power consumption challenges of general purpose and AI compute - especially at the edge.

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