Datasea (DTSS)
Market Price (6/30/2026): $0.7699 | Market Cap: $7.0 MilSector: Information Technology | Industry: Systems Software
Datasea (DTSS)
Market Price (6/30/2026): $0.7699Market Cap: $7.0 MilSector: Information TechnologyIndustry: Systems Software
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -53% Megatrend and thematic driversMegatrends include Artificial Intelligence, and 5G & Advanced Connectivity. Themes include Edge AI, AI Software Platforms, Show more. | Weak multi-year price returns2Y Excs Rtn is -119%, 3Y Excs Rtn is -169% | Penny stockMkt Price is 0.7 Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -2.7 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -4.7% Weak revenue growthRev Chg QQuarterly Revenue Change % is -36% Not cash flow generativeFCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -3.9% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -44% Key risksDTSS key risks include [1] significant financial distress and persistent unprofitability, Show more. |
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -53% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and 5G & Advanced Connectivity. Themes include Edge AI, AI Software Platforms, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -119%, 3Y Excs Rtn is -169% |
| Penny stockMkt Price is 0.7 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -2.7 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -4.7% |
| Weak revenue growthRev Chg QQuarterly Revenue Change % is -36% |
| Not cash flow generativeFCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -3.9% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -44% |
| Key risksDTSS key risks include [1] significant financial distress and persistent unprofitability, Show more. |
Qualitative Assessment
AI Analysis | Feedback
Updated on 6/25/2026
Datasea (DTSS) stock has lost about 20% since 2/28/2026 because of the following key factors:
1. Underperformance in Fiscal Q2 2026 Results. Datasea reported its fiscal Q2 2026 results, which ended on December 31, 2025, on February 12, 2026. The company experienced a significant year-over-year revenue decrease of 35.46%, with total revenue falling to approximately $26.81 million. Additionally, Datasea reported a loss per share (EPS) of -$0.06, missing analyst estimates. This financial underperformance led to a 7.6% decline in the stock price the day following the earnings announcement.
2. Continued Unprofitability and Weak Financial Health. Despite a stated strategic shift towards higher-margin solutions, Datasea remained unprofitable, recording a net loss of approximately $0.54 million in fiscal Q2 2026. The company's financial health was further characterized by negative profitability ratios, high leverage, and negative working capital, with current liabilities exceeding current assets by more than $2.0 million. This indicated ongoing financial stress and a struggle to achieve consistent profitability.
Show more
Datasea (DTSS) stock has lost about 20% since 2/28/2026 because of the following key factors:
1. Underperformance in Fiscal Q2 2026 Results. Datasea reported its fiscal Q2 2026 results, which ended on December 31, 2025, on February 12, 2026. The company experienced a significant year-over-year revenue decrease of 35.46%, with total revenue falling to approximately $26.81 million. Additionally, Datasea reported a loss per share (EPS) of -$0.06, missing analyst estimates. This financial underperformance led to a 7.6% decline in the stock price the day following the earnings announcement.
2. Continued Unprofitability and Weak Financial Health. Despite a stated strategic shift towards higher-margin solutions, Datasea remained unprofitable, recording a net loss of approximately $0.54 million in fiscal Q2 2026. The company's financial health was further characterized by negative profitability ratios, high leverage, and negative working capital, with current liabilities exceeding current assets by more than $2.0 million. This indicated ongoing financial stress and a struggle to achieve consistent profitability.
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Updated on 6/25/2026
Datasea (DTSS) stock has lost about 20% since 2/28/2026 because of the following key factors:
1. Underperformance in Fiscal Q2 2026 Results. Datasea reported its fiscal Q2 2026 results, which ended on December 31, 2025, on February 12, 2026. The company experienced a significant year-over-year revenue decrease of 35.46%, with total revenue falling to approximately $26.81 million. Additionally, Datasea reported a loss per share (EPS) of -$0.06, missing analyst estimates. This financial underperformance led to a 7.6% decline in the stock price the day following the earnings announcement.
2. Continued Unprofitability and Weak Financial Health. Despite a stated strategic shift towards higher-margin solutions, Datasea remained unprofitable, recording a net loss of approximately $0.54 million in fiscal Q2 2026. The company's financial health was further characterized by negative profitability ratios, high leverage, and negative working capital, with current liabilities exceeding current assets by more than $2.0 million. This indicated ongoing financial stress and a struggle to achieve consistent profitability.
3. Share Dilution and Insufficient Positive Catalysts. The company announced an acquisition of a cloud detection patent on June 12, 2026, to be fully paid for with Class A ordinary shares valued at approximately RMB 7,000,000 (around USD 1.0 million), which contributed to potential share dilution. Although Datasea released some positive news, such as the initial U.S. commercial rollout of acoustic wellness care robots in March 2026 and progress in FDA registration for an acoustic brain-computer interface product in June 2026, these announcements were not strong enough to counteract the prevailing financial concerns and negative market sentiment. Consequently, the stock price drifted 23.7% lower following the fiscal Q2 2026 earnings report.
Show less
Datasea (DTSS) stock has lost about 20% since 2/28/2026 because of the following key factors:
1. Underperformance in Fiscal Q2 2026 Results. Datasea reported its fiscal Q2 2026 results, which ended on December 31, 2025, on February 12, 2026. The company experienced a significant year-over-year revenue decrease of 35.46%, with total revenue falling to approximately $26.81 million. Additionally, Datasea reported a loss per share (EPS) of -$0.06, missing analyst estimates. This financial underperformance led to a 7.6% decline in the stock price the day following the earnings announcement.
2. Continued Unprofitability and Weak Financial Health. Despite a stated strategic shift towards higher-margin solutions, Datasea remained unprofitable, recording a net loss of approximately $0.54 million in fiscal Q2 2026. The company's financial health was further characterized by negative profitability ratios, high leverage, and negative working capital, with current liabilities exceeding current assets by more than $2.0 million. This indicated ongoing financial stress and a struggle to achieve consistent profitability.
3. Share Dilution and Insufficient Positive Catalysts. The company announced an acquisition of a cloud detection patent on June 12, 2026, to be fully paid for with Class A ordinary shares valued at approximately RMB 7,000,000 (around USD 1.0 million), which contributed to potential share dilution. Although Datasea released some positive news, such as the initial U.S. commercial rollout of acoustic wellness care robots in March 2026 and progress in FDA registration for an acoustic brain-computer interface product in June 2026, these announcements were not strong enough to counteract the prevailing financial concerns and negative market sentiment. Consequently, the stock price drifted 23.7% lower following the fiscal Q2 2026 earnings report.
Show less
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Stock Movement Drivers
Fundamental Drivers
The -18.2% change in DTSS stock from 2/28/2026 to 6/29/2026 was primarily driven by a -18.2% change in the company's P/S Multiple.| (LTM values as of) | 2282026 | 6292026 | Change |
|---|---|---|---|
| Stock Price ($) | 0.91 | 0.75 | -18.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 57 | 57 | 0.0% |
| P/S Multiple | 0.1 | 0.1 | -18.2% |
| Shares Outstanding (Mil) | 9 | 9 | 0.0% |
| Cumulative Contribution | -18.2% |
Market Drivers
2/28/2026 to 6/29/2026| Return | Correlation | |
|---|---|---|
| DTSS | -18.2% | |
| Market (SPY) | 8.3% | 6.6% |
| Sector (XLK) | 33.8% | 3.5% |
Fundamental Drivers
The -39.3% change in DTSS stock from 11/30/2025 to 6/29/2026 was primarily driven by a -23.2% change in the company's P/S Multiple.| (LTM values as of) | 11302025 | 6292026 | Change |
|---|---|---|---|
| Stock Price ($) | 1.23 | 0.75 | -39.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 64 | 57 | -11.6% |
| P/S Multiple | 0.2 | 0.1 | -23.2% |
| Shares Outstanding (Mil) | 8 | 9 | -10.5% |
| Cumulative Contribution | -39.3% |
Market Drivers
11/30/2025 to 6/29/2026| Return | Correlation | |
|---|---|---|
| DTSS | -39.3% | |
| Market (SPY) | 9.0% | 13.4% |
| Sector (XLK) | 29.9% | 13.0% |
Fundamental Drivers
The -67.1% change in DTSS stock from 5/31/2025 to 6/29/2026 was primarily driven by a -59.9% change in the company's P/S Multiple.| (LTM values as of) | 5312025 | 6292026 | Change |
|---|---|---|---|
| Stock Price ($) | 2.27 | 0.75 | -67.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 56 | 57 | 1.1% |
| P/S Multiple | 0.3 | 0.1 | -59.9% |
| Shares Outstanding (Mil) | 7 | 9 | -18.8% |
| Cumulative Contribution | -67.1% |
Market Drivers
5/31/2025 to 6/29/2026| Return | Correlation | |
|---|---|---|
| DTSS | -67.1% | |
| Market (SPY) | 27.2% | 12.7% |
| Sector (XLK) | 61.5% | 12.0% |
Fundamental Drivers
The -99.6% change in DTSS stock from 5/31/2023 to 6/29/2026 was primarily driven by a -100.0% change in the company's P/S Multiple.| (LTM values as of) | 5312023 | 6292026 | Change |
|---|---|---|---|
| Stock Price ($) | 207.00 | 0.75 | -99.6% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1 | 57 | 5573.0% |
| P/S Multiple | 334.7 | 0.1 | -100.0% |
| Shares Outstanding (Mil) | 2 | 9 | -82.3% |
| Cumulative Contribution | -99.6% |
Market Drivers
5/31/2023 to 6/29/2026| Return | Correlation | |
|---|---|---|
| DTSS | -99.6% | |
| Market (SPY) | 84.3% | 6.2% |
| Sector (XLK) | 130.4% | 5.1% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| DTSS Return | -22% | -4% | -84% | -96% | -71% | 15% | -100% |
| Peers Return | -23% | -68% | 47% | 190% | -0% | -27% | -25% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 7% | 96% |
Monthly Win Rates [3] | |||||||
| DTSS Win Rate | 17% | 58% | 17% | 42% | 42% | 17% | |
| Peers Win Rate | 50% | 34% | 45% | 47% | 45% | 43% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| DTSS Max Drawdown | -73% | -68% | -88% | -97% | -75% | -47% | |
| Peers Max Drawdown | -59% | -73% | -54% | -50% | -57% | -48% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: SOUN, VERI, TWLO, ITRI, REKR.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 6/29/2026 (YTD)
How Low Can It Go
| Event | DTSS | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -22.6% | -18.8% |
| % Gain to Breakeven | 29.2% | 23.1% |
| Time to Breakeven | 37 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -29.1% | -7.8% |
| % Gain to Breakeven | 41.1% | 8.5% |
| Time to Breakeven | 41 days | 18 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -27.9% | -24.5% |
| % Gain to Breakeven | 38.7% | 32.4% |
| Time to Breakeven | 14 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -45.2% | -33.7% |
| % Gain to Breakeven | 82.6% | 50.9% |
| Time to Breakeven | 137 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -13.8% | -19.2% |
| % Gain to Breakeven | 16.0% | 23.8% |
| Time to Breakeven | 3 days | 105 days |
In The Past
Datasea's stock fell -22.6% during the 2025 US Tariff Shock. Such a loss loss requires a 29.2% gain to breakeven.
Preserve Wealth
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Asset Allocation
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| Event | DTSS | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -22.6% | -18.8% |
| % Gain to Breakeven | 29.2% | 23.1% |
| Time to Breakeven | 37 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -29.1% | -7.8% |
| % Gain to Breakeven | 41.1% | 8.5% |
| Time to Breakeven | 41 days | 18 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -27.9% | -24.5% |
| % Gain to Breakeven | 38.7% | 32.4% |
| Time to Breakeven | 14 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -45.2% | -33.7% |
| % Gain to Breakeven | 82.6% | 50.9% |
| Time to Breakeven | 137 days | 140 days |
In The Past
Datasea's stock fell -22.6% during the 2025 US Tariff Shock. Such a loss loss requires a 29.2% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About Datasea (DTSS)
Datasea Inc. (DTSS) is a technology company operating in the People's Republic of China, primarily focused on providing smart security solutions. The company develops advanced platforms leveraging big data security and smart 3D technologies to create integrated security systems.
Its main products include specialized security systems for safe campuses, scenic areas, and public communities, along with an epidemic system designed for public health management. Datasea's primary customers are schools, tourist attractions, and public community entities. Additionally, the company offers 5G messaging and smart payment solutions, complementing its core security offerings.
AI Analysis | Feedback
Here are 1-3 brief analogies for Datasea (DTSS):
- A Palantir for institutional and public smart security in China.
- Verkada for public spaces and institutions in China.
AI Analysis | Feedback
- Big Data Security Platforms: Systems that leverage big data for enhanced security analysis and operations.
- Smart 3D Security Platforms: Advanced security platforms incorporating 3D technologies for comprehensive monitoring and threat detection.
- Safe Campus Security Systems: Security solutions specifically designed to ensure safety within educational institutions and campuses.
- Scenic Area Security Systems: Tailored security solutions for monitoring and protecting tourist attractions and scenic areas.
- Public Community Security Systems: Security infrastructure and solutions deployed to safeguard general public communities.
- Epidemic System: A system designed to assist with managing or monitoring epidemic-related situations, likely integrated with security.
- 5G Messaging Solutions: Services and platforms that enable messaging capabilities leveraging 5G technology.
- Smart Payment Solutions: Technologies and services facilitating intelligent and secure digital payment transactions.
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Major Customers of Datasea (DTSS)
Datasea Inc. primarily offers its smart security solutions to the following categories of customers:
- Schools
- Tourist or scenic attractions
- Public communities
The company provides solutions such as safe campus security systems, scenic area security systems, and public community security systems tailored to these sectors.
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Zhixin Liu, Chairman of the Board, President, Chief Executive Officer and Corporate Secretary
Ms. Liu has served as Datasea Inc.'s Chairman of the Board, Chief Executive Officer, President, and Corporate Secretary since October 2015. Prior to founding Shuhai Beijing in February 2015, she was the General Manager of Harbin Jinfenglvyuan Bio-Technology Co., Ltd. from February 2012 to January 2015, where she was responsible for implementing annual work plans, financial budget reports, profit distribution, utilization plans, daily management, and signing agreements. She also served as a board director at Beijing Jinyajianguo Refrigeration Plants Manufacturing Co., Ltd., a private company. Ms. Liu co-founded Datasea Inc. on September 26, 2014.
Mingzhou Sun, Chief Financial Officer and Principal Accounting Officer
Ms. Sun was appointed as Datasea Inc.'s Chief Financial Officer on August 1, 2021, and also serves as the Principal Accounting Officer. She possesses over 20 years of experience in the accounting and auditing industry. Before her CFO appointment, Ms. Sun served as the company's accounting director since September 2019, where she was responsible for preparing accounting documents for SEC filings. From March 2018 to September 2019, she was a partner at Beijing Mingye Accounting Firm, assisting clients with internal financial control systems, national tax policy analysis, and tax-related report issuance.
Fu Liu, Director
Mr. Liu serves as a Director and Corporate Secretary of Datasea Inc. He co-founded Datasea Inc. on September 26, 2014. Since February 2015, Mr. Liu has been the Chairman of the Board of Directors of Shuhai Beijing. Previously, from February 2012 to January 2015, he was the Chairman of the Board of Directors of Harbin Jinfenglvyuan Bio-Technology Co. Ltd. He also held a director position at Beijing Jinyajianguo Refrigeration Equipment Co., Ltd. from January 2011 to January 2015.
Chunqi Jiao, Chief Technology Officer
Mr. Jiao is the Chief Technology Officer of Datasea Inc.
Stephen Wong, Director
Mr. Wong has been a member of Datasea Inc.'s Board of Directors since December 21, 2018. He currently serves as the chief executive officer of Splendid Holding Limited, an interior design company. His previous roles include group financial controller for Fitness World (Group) Limited and MJ Medical Beauty Limited from February 2017 to August 2018. Mr. Wong also gained experience as a senior associate at PricewaterhouseCoopers Limited (PwC) from January 2016 to January 2017, and at Moore Stephens Associates Limited (Hong Kong) from October 2010 to December 2015.
Ms. Liu has served as Datasea Inc.'s Chairman of the Board, Chief Executive Officer, President, and Corporate Secretary since October 2015. Prior to founding Shuhai Beijing in February 2015, she was the General Manager of Harbin Jinfenglvyuan Bio-Technology Co., Ltd. from February 2012 to January 2015, where she was responsible for implementing annual work plans, financial budget reports, profit distribution, utilization plans, daily management, and signing agreements. She also served as a board director at Beijing Jinyajianguo Refrigeration Plants Manufacturing Co., Ltd., a private company. Ms. Liu co-founded Datasea Inc. on September 26, 2014.
Mingzhou Sun, Chief Financial Officer and Principal Accounting Officer
Ms. Sun was appointed as Datasea Inc.'s Chief Financial Officer on August 1, 2021, and also serves as the Principal Accounting Officer. She possesses over 20 years of experience in the accounting and auditing industry. Before her CFO appointment, Ms. Sun served as the company's accounting director since September 2019, where she was responsible for preparing accounting documents for SEC filings. From March 2018 to September 2019, she was a partner at Beijing Mingye Accounting Firm, assisting clients with internal financial control systems, national tax policy analysis, and tax-related report issuance.
Fu Liu, Director
Mr. Liu serves as a Director and Corporate Secretary of Datasea Inc. He co-founded Datasea Inc. on September 26, 2014. Since February 2015, Mr. Liu has been the Chairman of the Board of Directors of Shuhai Beijing. Previously, from February 2012 to January 2015, he was the Chairman of the Board of Directors of Harbin Jinfenglvyuan Bio-Technology Co. Ltd. He also held a director position at Beijing Jinyajianguo Refrigeration Equipment Co., Ltd. from January 2011 to January 2015.
Chunqi Jiao, Chief Technology Officer
Mr. Jiao is the Chief Technology Officer of Datasea Inc.
Stephen Wong, Director
Mr. Wong has been a member of Datasea Inc.'s Board of Directors since December 21, 2018. He currently serves as the chief executive officer of Splendid Holding Limited, an interior design company. His previous roles include group financial controller for Fitness World (Group) Limited and MJ Medical Beauty Limited from February 2017 to August 2018. Mr. Wong also gained experience as a senior associate at PricewaterhouseCoopers Limited (PwC) from January 2016 to January 2017, and at Moore Stephens Associates Limited (Hong Kong) from October 2010 to December 2015.
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Key Risks to Datasea Inc. (DTSS)
- Ongoing Profitability Challenges and Financial Distress: Datasea Inc. faces persistent negative margins and a low return on invested capital, indicating a struggle to generate consistent free cash flow. The company has reported ongoing net losses and its financial health indicators, such as a low current ratio and a distressing Altman Z-Score, suggest potential liquidity issues and a risk of bankruptcy within the next two years.
- Regulatory and Geopolitical Risks: Operating primarily in the People's Republic of China while being listed in the United States, Datasea is vulnerable to geopolitical tensions between the two countries. There is a risk of delisting for Chinese companies on US exchanges, which could severely impact Datasea's access to capital and its ability to conduct business as usual.
- Customer Concentration: Datasea's revenue heavily depends on a select group of major contracts. This reliance creates a risk where the non-renewal of these significant deals could lead to sharp fluctuations and instability in the company's revenue stream.
AI Analysis | Feedback
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AI Analysis | Feedback
For Datasea (DTSS), the addressable markets for their main products or services in China are as follows:
-
Smart Security Solutions (encompassing big data security and smart 3D security platforms, safe campus security systems, and public community security systems):
- The China safe city market, which includes aspects of smart security, generated approximately USD 3,999.1 million in revenue in 2022 and is projected to reach USD 12,852.2 million by 2030, growing at a Compound Annual Growth Rate (CAGR) of 15.7% from 2023 to 2030.
- The smart campus industry market size in China reached 56.389 billion yuan (approximately USD 7.8 billion) and is estimated to reach 91.498 billion yuan (approximately USD 12.7 billion) by 2025.
-
Scenic Area Security Systems:
- Null
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5G Messaging Solutions:
- Null
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Smart Payment Solutions:
- The China digital payments market is valued at USD 9.6 billion in 2025 and is projected to reach USD 33.4 billion by 2034, expanding at a CAGR of 14.6%.
- The China Cards and Payments Market was valued at USD 20 billion in 2024 and is expected to grow to USD 31.56 billion by 2033, with a CAGR of 5.2% from 2025 to 2033.
AI Analysis | Feedback
Datasea Inc. (DTSS) anticipates several key drivers for its future revenue growth over the next two to three years, primarily stemming from its core technology segments and strategic market expansion.
The expected drivers include:
- Expansion of 5G+AI Multimodal Digital Solutions: Datasea projects significant revenue growth from its 5G digital applications business. The company is strategically enhancing its 5G+AI digital solutions, focusing on higher-value, technology-driven offerings, and has expanded its core client base. This segment delivered substantial year-over-year growth in fiscal year 2025 and is expected to maintain its momentum with customized solutions.
- Commercialization and Broadening of Acoustic High-Tech Products: A major driver is the accelerating commercialization of Datasea's acoustic high-tech products, including clean air products and acoustic + AI health care robots. The company is actively applying acoustic technology innovations to health management and intelligent devices, with efforts focused on product validation and deploying solutions like acoustic modulation and neuromodulation. Datasea has expanded its B2B sales network by deploying acoustic products into hundreds of beauty and health stores, signifying a shift from single hardware sales to comprehensive, higher-margin solutions.
- International Market Expansion: Datasea is transitioning from a China-focused company to one with a global presence. This is evidenced by the establishment of Datasea Acoustics LLC in the USA and a stated commitment to developing business operations in both the US and internationally. This strategic move aims to broaden the company's market reach and customer base.
- Strategic Shift Towards High-Margin Offerings: The company is deliberately moving away from low-margin standardized services towards high-value, technology-driven solutions across both its 5G+AI and acoustic segments. This strategic shift is designed to optimize its revenue mix and significantly improve gross profit and overall profitability.
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Share Issuance
- In July 2021, Datasea completed a registered direct offering of securities, generating gross proceeds of $8,480,425.92 from the issuance of 2,436,904 shares of common stock.
- For fiscal year 2024, the company reported net proceeds from the issuance of common stock totaling $8,061,286.
- In fiscal year 2025, net proceeds from the issuance of common stock amounted to $5,939,133, which included approximately $4.0 million raised in October 2024 from non-U.S. investors to support acoustic high-tech products, working capital for mass production, and the promotion of AI multimodal digital business products.
Inbound Investments
- In October 2024, Datasea raised approximately $4.0 million through subscription agreements with non-U.S. investors, earmarked to support investments in acoustic high-tech products, working capital for mass production, and the promotion of AI multimodal digital business products.
Capital Expenditures
- For fiscal year 2025, Datasea's capital expenditures included $8,129 for the acquisition of property and equipment.
- In fiscal year 2025, the company invested $4,077,068 in the acquisition of intangible assets, primarily driven by the growth in value of core intellectual property such as patents.
- In fiscal year 2024, capital expenditures amounted to $6,868 for the acquisition of property and equipment and $161,054 for intangible assets. The company also plans to continue increasing its R&D investment, especially in integrating acoustic technologies with AI, and to accelerate market expansion.
Latest Trefis Analyses
| Title | Date | |
|---|---|---|
| DASHBOARDS | ||
| Can Datasea Stock Recover If Markets Fall? | 10/17/2025 |
| Title | |
|---|---|
| ARTICLES |
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 3.86 |
| Mkt Cap | 1.4 |
| Rev LTM | 137 |
| Op Inc LTM | -13 |
| FCF LTM | -10 |
| FCF 3Y Avg | -17 |
| CFO LTM | -8 |
| CFO 3Y Avg | -15 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 12.3% |
| Rev Chg 3Y Avg | 20.7% |
| Rev Chg Q | 4.1% |
| QoQ Delta Rev Chg LTM | 0.7% |
| Op Inc Chg LTM | 25.8% |
| Op Inc Chg 3Y Avg | 8.0% |
| Op Mgn LTM | -26.4% |
| Op Mgn 3Y Avg | -53.5% |
| QoQ Delta Op Mgn LTM | 1.0% |
| CFO/Rev LTM | -15.5% |
| CFO/Rev 3Y Avg | -29.4% |
| FCF/Rev LTM | -20.7% |
| FCF/Rev 3Y Avg | -34.4% |
Price Behavior
Price Behavior
| Market Price | $0.75 | |
| Market Cap ($ Bil) | 0.0 | |
| First Trading Date | 03/16/2018 | |
| Distance from 52W High | -67.5% | |
| 50 Days | 200 Days | |
| DMA Price | $0.88 | $1.20 |
| DMA Trend | down | down |
| Distance from DMA | -15.0% | -37.6% |
| 3M | 1YR | |
| Volatility | 94.6% | 95.1% |
| Downside Capture | -29.01 | 205.95 |
| Upside Capture | -85.74 | 41.38 |
| Correlation (SPY) | -3.4% | 12.2% |
DTSS Betas & Captures as of 5/31/2026
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.07 | 1.27 | 1.26 | 1.85 | 1.36 | 1.41 |
| Up Beta | 0.92 | 2.55 | 0.93 | 1.12 | 0.78 | 0.72 |
| Down Beta | 1.40 | -2.56 | 2.64 | 1.99 | 1.20 | 0.59 |
| Up Capture | 93% | 8% | 55% | 149% | 66% | 3% |
| Bmk +ve Days | 13 | 28 | 36 | 67 | 141 | 432 |
| Stock +ve Days | 8 | 17 | 24 | 49 | 99 | 331 |
| Down Capture | 473% | 204% | 136% | 225% | 181% | 114% |
| Bmk -ve Days | 7 | 13 | 27 | 57 | 109 | 318 |
| Stock -ve Days | 11 | 22 | 37 | 73 | 140 | 402 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with DTSS | |
|---|---|---|---|---|
| DTSS | -62.5% | 95.0% | -0.61 | - |
| Sector ETF (XLK) | 48.5% | 23.6% | 1.61 | 11.9% |
| Equity (SPY) | 22.2% | 12.5% | 1.32 | 12.2% |
| Gold (GLD) | 20.2% | 27.8% | 0.65 | 21.9% |
| Commodities (DBC) | 21.3% | 18.6% | 0.90 | 9.9% |
| Real Estate (VNQ) | 15.6% | 13.6% | 0.82 | 8.2% |
| Bitcoin (BTCUSD) | -44.0% | 42.6% | -1.25 | 18.5% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with DTSS | |
|---|---|---|---|---|
| DTSS | -72.9% | 257.8% | 0.13 | - |
| Sector ETF (XLK) | 21.8% | 25.4% | 0.76 | 5.1% |
| Equity (SPY) | 13.5% | 17.1% | 0.61 | 6.3% |
| Gold (GLD) | 17.2% | 18.3% | 0.76 | 2.7% |
| Commodities (DBC) | 7.1% | 19.5% | 0.26 | -0.2% |
| Real Estate (VNQ) | 2.9% | 18.8% | 0.05 | 4.5% |
| Bitcoin (BTCUSD) | 13.6% | 53.8% | 0.44 | 3.8% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with DTSS | |
|---|---|---|---|---|
| DTSS | -50.7% | 243.0% | 0.23 | - |
| Sector ETF (XLK) | 25.3% | 24.7% | 0.92 | 3.9% |
| Equity (SPY) | 15.4% | 18.0% | 0.73 | 4.5% |
| Gold (GLD) | 11.5% | 16.1% | 0.58 | 1.5% |
| Commodities (DBC) | 5.7% | 18.0% | 0.24 | -0.3% |
| Real Estate (VNQ) | 5.6% | 20.7% | 0.23 | 2.3% |
| Bitcoin (BTCUSD) | 55.0% | 66.4% | 0.95 | 2.0% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Updated 6/3/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 1/23/2024 | 9.2% | 2.0% | 239.7% |
| 9/27/2023 | 0.9% | -1.1% | -0.7% |
| 2/16/2023 | -2.9% | -2.6% | -11.4% |
| 11/15/2022 | -0.7% | -2.9% | 5.0% |
| 9/30/2022 | 5.4% | -1.3% | -8.1% |
| 5/18/2022 | 2.1% | -1.4% | 9.8% |
| SUMMARY STATS | |||
| # Positive | 4 | 1 | 3 |
| # Negative | 2 | 5 | 3 |
| Median Positive | 3.7% | 2.0% | 9.8% |
| Median Negative | -1.8% | -1.4% | -8.1% |
| Max Positive | 9.2% | 2.0% | 239.7% |
| Max Negative | -2.9% | -2.9% | -11.4% |
| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 1/23/2024 | 9.2% | 2.0% | 239.7% |
| 9/27/2023 | 0.9% | -1.1% | -0.7% |
| 2/16/2023 | -2.9% | -2.6% | -11.4% |
| 11/15/2022 | -0.7% | -2.9% | 5.0% |
| 9/30/2022 | 5.4% | -1.3% | -8.1% |
| 5/18/2022 | 2.1% | -1.4% | 9.8% |
| SUMMARY STATS | |||
| # Positive | 4 | 1 | 3 |
| # Negative | 2 | 5 | 3 |
| Median Positive | 3.7% | 2.0% | 9.8% |
| Median Negative | -1.8% | -1.4% | -8.1% |
| Max Positive | 9.2% | 2.0% | 239.7% |
| Max Negative | -2.9% | -2.9% | -11.4% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2025 | 02/12/2026 | 10-Q |
| 09/30/2025 | 11/13/2025 | 10-Q |
| 06/30/2025 | 09/26/2025 | 10-K |
| 03/31/2025 | 05/14/2025 | 10-Q |
| 12/31/2024 | 02/13/2025 | 10-Q |
| 09/30/2024 | 11/13/2024 | 10-Q |
| 06/30/2024 | 09/26/2024 | 10-K |
| 03/31/2024 | 05/13/2024 | 10-Q |
| 12/31/2023 | 02/13/2024 | 10-Q |
| 09/30/2023 | 11/13/2023 | 10-Q |
| 06/30/2023 | 09/27/2023 | 10-K |
| 03/31/2023 | 05/15/2023 | 10-Q |
| 12/31/2022 | 02/13/2023 | 10-Q |
| 09/30/2022 | 11/14/2022 | 10-Q |
| 06/30/2022 | 09/28/2022 | 10-K |
| 03/31/2022 | 05/16/2022 | 10-Q |
| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2025 | 02/12/2026 | 10-Q |
| 09/30/2025 | 11/13/2025 | 10-Q |
| 06/30/2025 | 09/26/2025 | 10-K |
| 03/31/2025 | 05/14/2025 | 10-Q |
| 12/31/2024 | 02/13/2025 | 10-Q |
| 09/30/2024 | 11/13/2024 | 10-Q |
| 06/30/2024 | 09/26/2024 | 10-K |
| 03/31/2024 | 05/13/2024 | 10-Q |
| 12/31/2023 | 02/13/2024 | 10-Q |
| 09/30/2023 | 11/13/2023 | 10-Q |
| 06/30/2023 | 09/27/2023 | 10-K |
| 03/31/2023 | 05/15/2023 | 10-Q |
| 12/31/2022 | 02/13/2023 | 10-Q |
| 09/30/2022 | 11/14/2022 | 10-Q |
| 06/30/2022 | 09/28/2022 | 10-K |
| 03/31/2022 | 05/16/2022 | 10-Q |
| 12/31/2021 | 02/11/2022 | 10-Q |
| 09/30/2021 | 11/12/2021 | 10-Q |
| 06/30/2021 | 09/28/2021 | 10-K |
| 03/31/2021 | 05/14/2021 | 10-Q |
| 12/31/2020 | 02/08/2021 | 10-Q |
| 09/30/2020 | 11/13/2020 | 10-Q |
| 06/30/2020 | 09/28/2020 | 10-K |
| 03/31/2020 | 05/14/2020 | 10-Q |
| 12/31/2019 | 02/14/2020 | 10-Q |
| 09/30/2019 | 11/14/2019 | 10-Q |
| 06/30/2019 | 10/15/2019 | 10-K |
| 03/31/2019 | 05/15/2019 | 10-Q |
Industry Resources
| Information Technology Resources |
| TechCrunch |
| Wired |
| CIO |
| MIT Technology Review |
| Gartner Insights |
| Ars Technica |
| Systems Software Resources |
| CNET |
| ZDNet |
| Gartner |
| Software Development Times |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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Core Cache Last Updated: 6/29/2026