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Smart Investors Daily
JG

NASDAQ · JG

Aurora Mobile Limited

Technology · Software - Infrastructure

$6.54

Down-$0.22 (-3.25%)

Updated Oct 31, 2026, 4:12 AM

SID Score

3.8/10

Composite research score

Smart Money

—

Institutional and insider signal

Market cap
40.34M
P/E ratio
-78.25
Dividend yield
0.00%
52-week range
$3.20 – $10.37
Volume
5.06K
Avg. volume
6.84K

Price performance · JG

JG price history

1M range · 21 trading sessions · Daily adjusted prices

Prices through Oct 30, 2026

JG closed at $6.54 after 21 trading sessions, up 0.93% for the selected period.

Last close
$6.54
Period change
+0.93%
Period low
$6.48
Period high
$8.80
Daily close
View OHLC price history
JG OHLC price history, latest 40 sessions
DateOpenHighLowCloseVolume
Oct 30, 2026$6.28$6.89$6.2648$6.545.06K
Oct 29, 2026$7.87$7.87$6.305$6.7624.16K
Oct 28, 2026$7.90$8.00$7.26$7.707.03K
Oct 27, 2026$7.13$7.75$7.13$7.602.5K
Oct 26, 2026$7.39$7.90$6.94$7.6035.03K
Oct 23, 2026$7.56$8.04$7.28$7.6615.27K
Oct 22, 2026$7.69$8.115$7.53$7.5528.09K
Oct 21, 2026$7.91$8.19$7.91$8.173.18K
Oct 20, 2026$8.24$8.60$7.90$8.207.7K
Oct 19, 2026$8.60$9.25$7.955$8.2217.04K
Oct 16, 2026$7.74$9.59$7.70$8.8042.26K
Oct 15, 2026$7.61$10.37$6.85$7.90140.8K
Oct 14, 2026$7.90$8.96$7.10$8.3137.84K
Oct 13, 2026$6.75$8.40$6.40$7.8654.02K
Oct 12, 2026$7.10$7.10$7.07$7.101.23K
Oct 9, 2026$7.09$7.10$7.09$7.102.12K
Oct 8, 2026$6.925$7.19$6.6561$7.092.75K
Oct 7, 2026$6.7027$7.09$6.7025$7.095.58K
Oct 6, 2026$6.79$7.00$6.725$7.004.48K
Oct 5, 2026$6.57$6.79$6.57$6.792.47K
Oct 2, 2026$6.56$6.56$6.42$6.483.27K

Latest JG news

The latest Smart Investors Daily articles mentioning JG.

JG research

Overview

Company profile and research snapshot.

Company profile

Aurora Mobile Ltd provides stable, and accurate developer services for educational and medical products. It is focused on providing companies with stable and efficient push notification services. It provides a comprehensive suite of services to mobile app developers in mainland China. Through its developer services, it gains access to, aggregate, cleanse, structure and encrypt vast amounts of real-time and anonymous device-level mobile behavioral data. It offers data services such as iAPP which helps the investors to analyze opportunities in the sector, Anti-fraud helps to identify fraud risks, iAudience, iZone and other related services. The company operates and generates its revenue from the People's Republic of China.

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Analyst outlook

Consensus and target data currently published for this company.

Consensus
—
Average target
$7.00
Implied upside
—
Analysts
—
JG recent ratings
DateFirmRatingTarget
Mar 12, 2024Alliance Global PartnersBuy—
Oct 18, 2021China RenaissanceBuy—
Apr 28, 2021OppenheimerOutperform—
Mar 6, 2019Goldman SachsNeutral—
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News briefing

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Yahoo · Oct 28, 2026

Aurora Mobile to Report Third Quarter 2026 Financial Results on November 12, 2026

SHENZHEN, China, Oct. 28, 2026 (GLOBE NEWSWIRE) -- Aurora Mobile Limited (NASDAQ: JG) (“Aurora Mobile” or the “Company”), a leading provider of customer engagement and marketing technology services, today announced that it will release its unaudited financial results for the third quarter ended September 30, 2026 before the open of U.S. markets on Thursday, November 12, 2026. Aurora Mobile’s management will host an earnings conference call on Thursday, November 12, 2026 at 7:30 a.m. U.S. Eastern

Yahoo · Oct 23, 2026

Aurora Mobile's EngageLab Brings AI Beyond the Send Button with Agent Email, Letting AI Agents Receive and Answer Customer Replies at Scale

Agent Email is purpose-built infrastructure that lets AI agents receive, understand, and answer inbound email at scale—keeping replies threaded in Gmail and Outlook, grounding answers in a company's private knowledge base, and writing intent signals back into CRM.SINGAPORE, Oct. 23, 2026 (GLOBE NEWSWIRE) -- Aurora Mobile Limited (NASDAQ: JG) ("Aurora Mobile" or the "Company"), a leading provider of customer engagement and marketing technology services, today announced Agent Email, AI-powered inf

AI research layers

Interpretive context generated from the platform’s current data sources.

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