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Glory Star expected to further increase profitability

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Glory Star New Media Group, a Nasdaq-listed digital media platform and content-driven e-commerce company in China, is expected to be able to further increase its profitability with its growing market share and economy of scale.

The company reported a 15.8% growth in its Non-GAAP net income to US$16.9 million for the six-months ended June 30 from US$14.6 million in the same period of last year.

During the first half of this year, the company’s total revenues grew 144.6% to US$71.9 million from US$29.4 million, thanks to the increase in advertising revenues and Cheers e-Mall marketplace service revenue, primarily attributable to the development and promotion of its mobile and online businesses.

Income from operations surged 40.9% to US$16.2 million from US$11.5 million.

During the first half year of 2021, the company successfully grew its top and bottom lines as it allocated more resources to sales and marketing to augment its brand equity and fuel its long-term growth engine.

The company’s rising economy of scale will allow it to gradually reduce operating expenses and capitalize on the rising popularity of video content and deliver lasting shareholder value.

At the end of June 30, the number of downloads of the company’s Cheers App reached 215.6 million, up from 121 million a year earlier. The increase in the number, a key indicator of the attractiveness and usability of its Cheers App and its e-Mall platform traffic, showed that it had successfully converted viewers of its content to its Cheers App.

Average daily active users (DAUs) of the app grew to 7.1 million from 4.5 million for the same period. Stock Keeping Units (SKUs) on its Cheers e-Mall platform jumped to 231,630 from 19,984.

Gross Merchandise Value (GMV) of the Cheers App reached US$181.2 million in the first six months of this year, compared with US$20 million in the same period of 2020. The increase in GMV was driven significantly by its ability to attract and retain users to its Cheers App through its professionally produced content and its ability to further enhance its product offerings.

The company has a strong commitment to its corporate mission, meticulous execution of growth strategies, methodical expansion in both overseas and domestic markets, proactive engagement of Generation Z users through innovative products, and prudent investment in sales and marketing initiatives. It plans to refine its competitive edge in content-driven e-commerce of premium lifestyle, deepen our expertise in integrating quality content with lifestyle commerce, and expand our brand influence among Generation Z consumers on a global basis.

During the first half year, the resurgence of Covid-19 and its Delta variant caused the Chinese government to impose travel restrictions within mainland China, particularly in the southern regions of the country.

The company temporarily suspended the production of its traditional “Cheers Series” TV programs, thus resulting in a decline in its cost of revenues during the first six month of 2021. Once the travel restrictions are eased, the company will resume its content production activities in the second half of this year.

As of June 30, 2021, the company had cash and cash equivalents of US$20.3 million, compared with US$17.7 million at the end of last year.

Blockchain and AI technologies

Since its establishment in 2016, Glory Star has pioneered a unique, new business model integrating e-commerce services with premium video content. With the use of blockchain and AI technologies in its systems, the company has become a leading online digital media and entertainment company in China, with a strong track record both in terms of viewership and production capabilities. The company launched its Cheers App in 2018 to integrate e-commerce services with professionally generated content (PGC).

During the first half, the company produced many more live streaming shows and started to provide title sponsor advertising services at a higher price point. It also spent substantially on the development of the Cheers Chat and Cheers Car.

The company plans to provide more user-generated content (UGC) by forming partnerships with other platforms. It will allow global users to upload their content to its video platforms in the fourth quarter of this year while users will receive advertising revenue or get rewards from viewers directly.

The company will also allow content providers to use its software-as-a-service (SaaS) supply chain system with the blockchain technology that will help them match with relevant merchandisers. Content providers will be able to share the revenue from the sales of products on their video accounts.

The company’s ability to integrate premium lifestyle content, including short videos, online variety shows, online dramas, live streaming, its Cheers lifestyle video series, e-Mall, and mobile app, along with innovative e-commerce offerings on its platform enables it to pursue its mission of enriching people’s lives.

Its large and active user base has created valuable engagement opportunities with consumers and enhanced platform stickiness with thousands of domestic and international brands.

Non-fungible token

Glory Star’s Naschain platform offers one-stop solutions, which include smart contract, multichain universe and cross-chain consensus mechanisms, to users with its blockchain technology. It can help e-shoppers trace the origins of the products, avoid buying counterfeit goods, lower their logistics costs and protect their privacy.

The company has signed an agreement with the Beijing Minsheng Art Museum to use the company’s non-fungible token (NFT) technology, which can be used in copy-rights’ registration, verification, transaction and valuation, to protect the intellectual property of the museum’s artworks. The company will be able to boost its market share by acquiring some NFT service providers.

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Press Release

Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series

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A bestselling voice in contemporary romance trades swoon for suspense in a chilling debut thriller where no one is telling the whole truth.

United States, 3rd Jun 2026 — Some secrets don’t stay buried. They grow roots. With that haunting promise, indie author Candace Nicole introduces Tangled Roots, the chilling first installment of her new psychological thriller series, The Root Series — now available to readers everywhere.

A bold departure into darker territory for the author known for “love, lies and everything in between,” Tangled Roots opens twelve years after Clark Delaine drowned at his lakehouse. The police ruled it an accident. They were wrong. When an anonymous letter surfaces, threatening to drag the truth into the light, five strangers who have spent more than a decade burying that truth find their carefully separated lives suddenly — and dangerously — colliding.

As the past claws its way back, dark secrets emerge about the man everyone believed they knew. And in a story where no one is telling the whole truth, the most devastating revelation is the one no reader will see coming.

“This book lives in the space between what people show the world and what they hide from it,” said Candace Nicole. “I wanted to write something that keeps readers up at night, second-guessing every character — including the ones they trust.”

Candace Nicole is a Central Virginia–based indie author whose work spans contemporary romance and psychological suspense. An avid reader since childhood, she writes with a mind full of characters demanding their stories be told, bringing equal parts heart and intensity to every page. Tangled Roots marks an ambitious new chapter — trading the swoon for the slow burn while keeping the emotional depth her readers have come to love.

For fans of unreliable narrators, simmering mystery, and twist-driven suspense, Tangled Roots is the kind of book best read with the doors locked.

Tangled Roots is available now, including signed copies, at www.cnbookseries.com. Readers can connect with Candace Nicole across all platforms at linktr.ee/cnbookseries.

MEDIA CONTACT

Author Candace Nicole

Cnbookseries

cnbookseries.media@gmail.com

Media Contact

Organization: Cnbookseries

Contact Person: Author Candace Nicole

Website: https://linktr.ee/cnbookseries

Email: Send Email

Country:United States

Release id:45653

The post Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Press Release

Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence

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Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.

Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.

The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.

Why Now

The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.

Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.

Inside the Platform

SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.

The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.

Capabilities

The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.

Beta Access and Early Users

SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.

Founder

SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.

About Nxapredict Analytics LLC

Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.

Media Contact

Daniel Sibanda

Founder, Nxapredict Analytics LLC

Email: daniel@signaliqintelligence.com

Website: https://signaliqintelligence.com 

Media Contact

Organization: Nxapredict Analytics LLC

Contact Person: Daniel Sibanda

Website: https://signaliqintelligence.com

Email: Send Email

Contact Number: +12673361270

Address:9318 Ditman Street

City: Philadelphia,PA

State: PA

Country:United States

Release id:45643

The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

Continue Reading

Press Release

Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence

Published

on

Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.

Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.

The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.

Why Now

The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.

Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.

Inside the Platform

SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.

The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.

Capabilities

The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.

Beta Access and Early Users

SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.

Founder

SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.

About Nxapredict Analytics LLC

Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.

Media Contact

Daniel Sibanda

Founder, Nxapredict Analytics LLC

Email: daniel@signaliqintelligence.com

Website: https://signaliqintelligence.com 

Media Contact

Organization: Nxapredict Analytics LLC

Contact Person: Daniel Sibanda

Website: https://signaliqintelligence.com

Email: Send Email

Contact Number: +12673361270

Address:9318 Ditman Street

City: Philadelphia,PA

State: PA

Country:United States

Release id:45643

The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

file

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

Continue Reading

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