Datasea Intelligent Technology DTSS

NASDAQ DTSS

$0.56 +0.02 (+3.15%)

At close: Nov 6, 2026 · 4:00 PM EST

Datasea Intelligent Technology (DTSS) stock price is $0.56, up 3.15% on the day, as of Nov 6, 2026. It has a market cap of $5.26Mn, and is classified in the AI Platforms industry (Technology sector).

Key Stats

Market Cap5.26 Mn

P/E-2.38

FCF (Yr)1.98 Mn

ROA (Yr)-20.34

EV to EBIT-3.54

Net Income (Yr)-2.19 Mn

Enterprise Value5.26 Mn

Add ratio to table…

About

Datasea Intelligent Technology Ltd. is a technology company specializing in acoustic intelligence and AI multimodal digitalization with AI-agent services. The company focuses on integrating acoustic engineering, AI models, and software platforms to develop products and services for healthcare technology, biofeedback, brain-computer interaction, and enterprise digitalization. Its core operations are conducted through PRC-based entities, with additional U. S. market support…

The company generates revenue through two primary business areas: acoustic intelligence products and services, and AI multimodal digitalization and AI-agent services. Revenue is derived from sales of acoustic healthcare hardware such as air-health and sleep-health products, technical services, and integrated solutions. Additionally, the company earns income from AI execution agents, Tokens-based computing services, and usage-based AI offerings sold to enterprise customers in sectors like health and wellness, retail, and digital marketing.

The company operates through the following segments:

Acoustic Intelligence Business: This segment focuses on the development and commercialization of acoustic healthcare products and NeuroVibe biofeedback systems. It generates revenue from product sales of air-health, sleep-health, foot-health, and personal-care devices, as well as related technical services. During fiscal year 2026, the segment reported approximately $0.63 million in revenue, primarily from acoustic-healthcare products and services.
AI Multimodal Digitalization and AI-Agent Business: This segment delivers AI-powered solutions including multimodal data processing, digital marketing, technical services, and AI execution agents. It provides Interactive, Voiceprint, Business, and Marketing Execution Agents to enterprises for tasks such as customer interaction, content generation, and sales follow-up. In fiscal year 2026, this segment contributed approximately $39.96 million in revenue, driven by AI multimodal digital solutions, digital technical services, and AI-agent services.

Datasea Intelligent Technology Ltd. operates in competitive markets where it differentiates itself through integrated acoustic and AI technologies. In acoustic healthcare, it competes with companies like Xiaomi Corporation, Philips, and Beijing Yadu Environmental Protection Technology Co., Ltd., offering alternatives in air purification and intelligent health devices. In the AI-agent space, it faces competition from firms such as Indeed Intelligence, QuickCEP, and DeepScience, which provide enterprise AI workflow automation and marketing solutions. The company’s advantage lies in its ability to combine hardware innovation with software intelligence for real-world business applications.

The company serves a diverse customer base including health and wellness retailers, beauty and personal-care stores, senior-care facilities, sleep-health providers, and commercial enterprises. Specific customers referenced in the filing include Bochun Meiye (Shenzhen) Cosmetics Co., Ltd., which entered pre-sale agreements for NeuroVibe products, and Qingdao Ruizhi Yixing Information Technology Co., Ltd. and Qingdao Wangtu Information Technology Co., Ltd., which partnered on AI Execution Agent Matrix arrangements. Additional customers span digital marketing, retail, local services, and enterprise technology sectors utilizing the company’s AI-agent and acoustic hardware solutions.

Investment Thesis

▲ Bull case

Datasea has achieved an engineering level core technology in ultrasonic enhanced nanoscale precision control that is designed for next generation semiconductor manufacturing. This breakthrough reflects a systematic integration of ultrasonic enhancement with ultra precision composite manufacturing processes creating a systems level precision control architecture. The technology addresses the growing need for stability surface uniformity and nanoscale controllability as semiconductor nodes continue to shrink and process complexity rises. By positioning its acoustic architecture in high end industrial environments Datasea expands its addressable market beyond health and consumer applications opening a potential long term revenue stream from licensing joint development or equipment sales. The foundational nature of the work suggests scalability and durability of the underlying acoustic platform which could become a differentiated barrier in the advanced manufacturing equipment market.
Datasea has advanced its acoustic driven brain computer interface technology from foundational signal processing to engineering level system integration through collaborations with Nanjing Linghang and Guozhong Times. The company is developing two application streams one focused on assistive communication for neurological patients and another on upper limb rehabilitation robot control. These efforts aim to translate neural signals into stable control commands for external devices addressing variability in signal quality and the need for reliable human machine interaction in caregiving settings. A channel execution plan targets the deployment of up to ten thousand acoustic haircare robot units across health lifestyle venues and technical service cooperation arrangements providing a clear path to scale. By embedding acoustic algorithms sensing technologies and AI recognition models into partner hardware Datasea creates a full stack solution that can generate hardware sales technical service fees and recurring service linked revenues. The underlying market for beauty wellness and neurorehabilitation is described as multi billion dollar offering a sizable addressable opportunity for the company’s acoustic technology platform.
Datasea reported a year over year gross profit increase of approximately 284% and a gross margin expansion of about 730 basis points to 8.8% for the six month period ended December 31 2025. This improvement follows a deliberate shift away from low margin standardized services toward higher margin technology driven solution oriented revenue. Completed projects worth roughly RMB 6.9 million equivalent to about USD 1.01 million are expected to contribute strongly to gross profit validating the new business mix. Early stage deployments in the United States for acoustic technology enabled wellness care robots have begun generating technical service revenue demonstrating initial commercial traction. Management indicates that the current commercialization initiatives could deliver up to approximately ten million dollars of incremental revenue in the next fiscal year subject to execution and market conditions. The redomicile of the holding company to the British Virgin Islands may improve tax efficiency and provide additional flexibility for accessing international capital markets.
Datasea’s acoustic technology is being applied in distinct verticals including semiconductor manufacturing health robotics beauty and wellness devices and environmental hygiene products such as the Smart Air Sterilizer. This diversification creates multiple potential revenue streams that are not tightly correlated reducing the impact of a slowdown in any one sector. The company’s 5G AI multimodal digitalization segment continues to provide a stable base of higher margin customized solutions supporting overall profitability while the acoustic segment pursues growth. Strategic partnerships with firms that possess established channel networks such as Yizhimei and Nanjing Linghang enable Datasea to leverage existing sales infrastructure without bearing the full cost of building a direct go to market organization. The combination of a core technology platform with varied application scenarios enhances the company’s ability to cross sell and bundle solutions increasing customer stickiness and lifetime value. Such a diversified approach positions Datasea to capture value from multiple emerging trends rather than betting on a single narrow niche.
Datasea has built an expanding patent portfolio covering acoustic coupling real time closed loop vibration modulation and related neuromodulation techniques which underpins its technology barriers. These patents protect the core acoustic enhancement methods that improve EEG signal quality decoding stability and system reliability in brain computer interface applications. By securing intellectual property rights in both acoustic hardware and software layers the company raises the cost for competitors to replicate its integrated solutions. The technology framework is designed to be extensible allowing future upgrades such as additional sensor modalities or AI algorithms to be layered onto the existing acoustic base. This layered approach creates a moat that can sustain long term competitive advantage as the company expands into new application domains. Investors may benefit from the potential monetization of the IP through licensing or joint ventures beyond the current product rollout.

Datasea has achieved an engineering level core technology in ultrasonic enhanced nanoscale precision control that is designed for next generation semiconductor manufacturing. This breakthrough reflects a systematic integration of ultrasonic enhancement with ultra precision composite manufacturing processes creating a systems level precision control architecture. The technology addresses the growing need for stability surface uniformity and nanoscale controllability as semiconductor nodes continue to shrink and process complexity rises. By positioning its acoustic architecture in high end industrial environments Datasea expands its addressable market beyond health and consumer applications opening a potential long term revenue stream from licensing joint development or equipment sales. The foundational nature of the work suggests scalability and durability of the underlying acoustic platform which could become a differentiated barrier in the advanced manufacturing equipment market.
Datasea has advanced its acoustic driven brain computer interface technology from foundational signal processing to engineering level system integration through collaborations with Nanjing Linghang and Guozhong Times. The company is developing two application streams one focused on assistive communication for neurological patients and another on upper limb rehabilitation robot control. These efforts aim to translate neural signals into stable control commands for external devices addressing variability in signal quality and the need for reliable human machine interaction in caregiving settings. A channel execution plan targets the deployment of up to ten thousand acoustic haircare robot units across health lifestyle venues and technical service cooperation arrangements providing a clear path to scale. By embedding acoustic algorithms sensing technologies and AI recognition models into partner hardware Datasea creates a full stack solution that can generate hardware sales technical service fees and recurring service linked revenues. The underlying market for beauty wellness and neurorehabilitation is described as multi billion dollar offering a sizable addressable opportunity for the company’s acoustic technology platform.
Datasea reported a year over year gross profit increase of approximately 284% and a gross margin expansion of about 730 basis points to 8.8% for the six month period ended December 31 2025. This improvement follows a deliberate shift away from low margin standardized services toward higher margin technology driven solution oriented revenue. Completed projects worth roughly RMB 6.9 million equivalent to about USD 1.01 million are expected to contribute strongly to gross profit validating the new business mix. Early stage deployments in the United States for acoustic technology enabled wellness care robots have begun generating technical service revenue demonstrating initial commercial traction. Management indicates that the current commercialization initiatives could deliver up to approximately ten million dollars of incremental revenue in the next fiscal year subject to execution and market conditions. The redomicile of the holding company to the British Virgin Islands may improve tax efficiency and provide additional flexibility for accessing international capital markets.
Datasea’s acoustic technology is being applied in distinct verticals including semiconductor manufacturing health robotics beauty and wellness devices and environmental hygiene products such as the Smart Air Sterilizer. This diversification creates multiple potential revenue streams that are not tightly correlated reducing the impact of a slowdown in any one sector. The company’s 5G AI multimodal digitalization segment continues to provide a stable base of higher margin customized solutions supporting overall profitability while the acoustic segment pursues growth. Strategic partnerships with firms that possess established channel networks such as Yizhimei and Nanjing Linghang enable Datasea to leverage existing sales infrastructure without bearing the full cost of building a direct go to market organization. The combination of a core technology platform with varied application scenarios enhances the company’s ability to cross sell and bundle solutions increasing customer stickiness and lifetime value. Such a diversified approach positions Datasea to capture value from multiple emerging trends rather than betting on a single narrow niche.
Datasea has built an expanding patent portfolio covering acoustic coupling real time closed loop vibration modulation and related neuromodulation techniques which underpins its technology barriers. These patents protect the core acoustic enhancement methods that improve EEG signal quality decoding stability and system reliability in brain computer interface applications. By securing intellectual property rights in both acoustic hardware and software layers the company raises the cost for competitors to replicate its integrated solutions. The technology framework is designed to be extensible allowing future upgrades such as additional sensor modalities or AI algorithms to be layered onto the existing acoustic base. This layered approach creates a moat that can sustain long term competitive advantage as the company expands into new application domains. Investors may benefit from the potential monetization of the IP through licensing or joint ventures beyond the current product rollout.

▼ Bear case

Datasea’s ultrasonic enhanced nanoscale precision control technology remains in the research and engineering validation phase and has not yet entered commercialization. The timeline for moving from foundational research to a product ready for semiconductor fabrication equipment is uncertain and could extend several years. During this period the company will continue to incur research and development expenses without a corresponding revenue stream from this vertical. Success will depend on meeting the stringent tolerances reliability and contamination control standards demanded by leading fab equipment manufacturers. Any failure to satisfy these technical requirements could render the technology unsuitable for its target market and waste the invested R&D capital. Investors should therefore view the semiconductor opportunity as a long term speculative bet rather than a near term catalyst.
Much of Datasea’s near term revenue potential is tied to collaborations with a limited number of partners such as Yizhimei Nanjing Linghang and Guozhong Times. These alliances provide access to distribution channels customer bases and co development resources but also create concentration risk. If any partner experiences financial difficulties strategic shifts or decides to terminate the collaboration the company’s deployment plans could be delayed or scaled back. The revenue sharing and fee structures defined in the agreements may limit Datasea’s ability to capture the full upside of successful product rollouts. Building an independent direct sales force would require substantial investment and time which the company may not be able to afford given its current cash position. Consequently the company’s growth trajectory is highly sensitive to the stability and performance of its partnership network.
The adoption of acoustic driven health robots and brain computer interface devices depends on acceptance by healthcare providers patients and reimbursement bodies. Regulatory clearance for non invasive neuromodulation and medical device applications can be a lengthy costly process with no guarantee of approval. Competing technologies from established players in the BCI wellness robotics and medical device spaces may offer comparable or superior performance at lower cost. If reimbursement policies do not cover the use of these acoustic solutions demand could remain confined to niche private pay segments limiting volume. The company’s early stage deployments are still limited to a few hundred locations across China and a handful of U.S. sites providing limited evidence of broad market traction. Until larger scale clinical trials and real world outcome studies demonstrate clear benefits the market may remain skeptical of the technology’s value proposition.
Datasea intentionally reduced low margin standardized services causing a year over year decline in top line revenue while focusing on margin expansion. Although gross profit and margin have improved the company’s overall revenue base remains smaller than in prior periods which may limit its ability to absorb operating expenses. Continued pressure to grow revenue while maintaining higher margins could force the company to make trade offs between pricing volume and product mix. If the shift to higher margin solutions does not generate sufficient volume the company could face stagnating or declining gross profit despite margin gains. The business model transition carries execution risk as the company must win new customers for customized higher priced offerings amid a competitive environment. Investors should monitor whether the margin improvement can be sustained without a rebound in overall sales volume.
The company is investing heavily in research and development across multiple fronts including semiconductor acoustic technology BCI health robots and acoustic disinfection products. These R&D activities are accompanied by expenses for prototyping testing regulatory compliance and partnership management. While recent quarters have shown gross profit expansion the company has not disclosed detailed cash flow statements indicating whether operating cash generation covers its investment needs. If operating cash flow remains negative Datasea may need to rely on external financing which could lead to dilution of existing shareholders or increased debt burden. The redomicile to the British Virgin Islands while potentially beneficial for tax efficiency does not automatically improve liquidity and may raise questions about corporate governance transparency for some investors. A prolonged period of negative cash flow could constrain the company’s ability to pursue growth initiatives and increase vulnerability to market downturns.

Datasea’s ultrasonic enhanced nanoscale precision control technology remains in the research and engineering validation phase and has not yet entered commercialization. The timeline for moving from foundational research to a product ready for semiconductor fabrication equipment is uncertain and could extend several years. During this period the company will continue to incur research and development expenses without a corresponding revenue stream from this vertical. Success will depend on meeting the stringent tolerances reliability and contamination control standards demanded by leading fab equipment manufacturers. Any failure to satisfy these technical requirements could render the technology unsuitable for its target market and waste the invested R&D capital. Investors should therefore view the semiconductor opportunity as a long term speculative bet rather than a near term catalyst.
Much of Datasea’s near term revenue potential is tied to collaborations with a limited number of partners such as Yizhimei Nanjing Linghang and Guozhong Times. These alliances provide access to distribution channels customer bases and co development resources but also create concentration risk. If any partner experiences financial difficulties strategic shifts or decides to terminate the collaboration the company’s deployment plans could be delayed or scaled back. The revenue sharing and fee structures defined in the agreements may limit Datasea’s ability to capture the full upside of successful product rollouts. Building an independent direct sales force would require substantial investment and time which the company may not be able to afford given its current cash position. Consequently the company’s growth trajectory is highly sensitive to the stability and performance of its partnership network.
The adoption of acoustic driven health robots and brain computer interface devices depends on acceptance by healthcare providers patients and reimbursement bodies. Regulatory clearance for non invasive neuromodulation and medical device applications can be a lengthy costly process with no guarantee of approval. Competing technologies from established players in the BCI wellness robotics and medical device spaces may offer comparable or superior performance at lower cost. If reimbursement policies do not cover the use of these acoustic solutions demand could remain confined to niche private pay segments limiting volume. The company’s early stage deployments are still limited to a few hundred locations across China and a handful of U.S. sites providing limited evidence of broad market traction. Until larger scale clinical trials and real world outcome studies demonstrate clear benefits the market may remain skeptical of the technology’s value proposition.
Datasea intentionally reduced low margin standardized services causing a year over year decline in top line revenue while focusing on margin expansion. Although gross profit and margin have improved the company’s overall revenue base remains smaller than in prior periods which may limit its ability to absorb operating expenses. Continued pressure to grow revenue while maintaining higher margins could force the company to make trade offs between pricing volume and product mix. If the shift to higher margin solutions does not generate sufficient volume the company could face stagnating or declining gross profit despite margin gains. The business model transition carries execution risk as the company must win new customers for customized higher priced offerings amid a competitive environment. Investors should monitor whether the margin improvement can be sustained without a rebound in overall sales volume.
The company is investing heavily in research and development across multiple fronts including semiconductor acoustic technology BCI health robots and acoustic disinfection products. These R&D activities are accompanied by expenses for prototyping testing regulatory compliance and partnership management. While recent quarters have shown gross profit expansion the company has not disclosed detailed cash flow statements indicating whether operating cash generation covers its investment needs. If operating cash flow remains negative Datasea may need to rely on external financing which could lead to dilution of existing shareholders or increased debt burden. The redomicile to the British Virgin Islands while potentially beneficial for tax efficiency does not automatically improve liquidity and may raise questions about corporate governance transparency for some investors. A prolonged period of negative cash flow could constrain the company’s ability to pursue growth initiatives and increase vulnerability to market downturns.

Product and Service Breakdown of Revenue (2026)

History

Consolidated Entities Breakdown of Revenue (2026)

History

Peer percentiles

How Datasea Intelligent Technology ranks

Ranked against the 136 companies in Infrastructure Software58 metrics · as of Nov 6, 2026

Valuation

12 metrics · Lower multiples rank higher; a negative multiple ranks last

P/ENegative earnings −2.38xMedian 39.4x 28^th
P/FCF 4.44xMedian 22.7x 97^th
P/Operating cash flow —Median 24.5x No data —
P/S 0.22xMedian 3.96x 92^nd
P/B 1.21xMedian 2.87x 69^th
P/Tangible bookNegative tangible equity −2.20xMedian 3.35x Not meaningful —
EV/EBITDA —Median 34.1x No data —
EV/EBIT —Median 26.9x No data —
EV/Revenue —Median 4.42x No data —
EV/FCF —Median 22.4x No data —
EV/Operating cash flow —Median 22.7x No data —
PEG (3Y EPS CAGR) —Median 1.32 No data —

Growth

14 metrics · Year-on-year growth and three-year compound annual growth

Revenue growth (1Y) —Median 16.9% No data —
Revenue CAGR (3Y) —Median 11.7% No data —
Gross profit growth (1Y) —Median 16.7% No data —
Gross profit CAGR (3Y) —Median 12.2% No data —
Operating income growth (1Y) —Median 8.8% No data —
Operating income CAGR (3Y) —Median 16.0% No data —
Net income growth (1Y) —Median 8.2% No data —
Net income CAGR (3Y) —Median 19.7% No data —
EPS growth (1Y) —Median 33.0% No data —
EPS CAGR (3Y) —Median 28.3% No data —
Operating cash flow growth (1Y) —Median 15.2% No data —
Operating cash flow CAGR (3Y) —Median 19.1% No data —
Free cash flow growth (1Y) —Median 12.9% No data —
Free cash flow CAGR (3Y) —Median 18.9% No data —

Profitability

14 metrics · Margins, returns on capital and the quality of earnings

Gross margin —Median 66.6% No data —
EBITDA margin —Median −6.6% No data —
Operating margin —Median −18.3% No data —
Pretax margin —Median −13.8% No data —
Net margin —Median −7.1% No data —
FCF margin —Median 5.9% No data —
Operating cash flow margin —Median 8.2% No data —
Return on equity —Median −5.0% No data —
Return on assets —Median −5.6% No data —
Return on invested capital —Median −1.7% No data —
Return on capital employed —Median −6.5% No data —
Asset turnover —Median 0.50x No data —
Cash conversion (OCF / net income) —Median 1.62x No data —
Stock comp / revenue —Median 13.1% No data —

Financial Health

11 metrics · Leverage, liquidity and solvency; less debt ranks higher

Debt / assetsNegative debt ratio −71.1%Median 17.1% Not meaningful —
Debt / equityNegative debt −1.45xMedian 0.24x Not meaningful —
Net debt / EBITDA —Median −0.52x No data —
Debt / FCF —Median 2.30x No data —
Liabilities / assets 50.8%Median 43.6% 43^rd
Equity / assets 49.2%Median 56.4% 43^rd
Interest coverage —Median −4.13x No data —
Current ratio 0.44xMedian 2.01x 11^th
Quick ratio 0.27xMedian 1.79x 10^th
Cash ratio 0.08xMedian 1.21x 13^th
Altman Z-score —Median 1.57 No data —

Peer group

Peer Comparison

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1	PANW	Palo Alto Networks Inc	235.00 Bn	765.47	20.47	-
2	CRWD	CrowdStrike Holdings, Inc.	221.18 Bn	3,783.43	40.99	746.22 Mn
3	SNOW	Snowflake Inc.	96.49 Bn	-88.46	17.76	-
4	FTNT	Fortinet, Inc.	87.26 Bn	38.23	11.07	497.10 Mn
5	DDOG	Datadog, Inc.	64.27 Bn	245.28	15.02	-
6	ZS	Zscaler, Inc.	31.67 Bn	-501.31	9.45	-
7	OKTA	Okta, Inc.	29.42 Bn	99.39	9.57	-
8	DTSS	Datasea Intelligent Technology Ltd.	0.01 Bn	-2.38	0.22	-10.51 Mn