Quanome Technologies (QNME)
Market Price (8/6/2026): $0.466 | Market Cap: $3.5 MilSector: Industrials | Industry: Air Freight & Logistics
Quanome Technologies (QNME)
Market Price (8/6/2026): $0.466Market Cap: $3.5 MilSector: IndustrialsIndustry: Air Freight & Logistics
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Megatrend and thematic driversMegatrends include Quantum Technologies. Themes include Quantum Computing, Quantum Software, and Quantum Sensing. | Weak multi-year price returns2Y Excs Rtn is -66%, 3Y Excs Rtn is -95% | Penny stockMkt Price is 0.5 Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -3.6 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -21% Weak revenue growthRev Chg QQuarterly Revenue Change % is -27% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -13%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -14% Key risksQNME key risks include [1] its deep dependence on a network of third-party carriers and service providers and [2] high exposure to geopolitical and trade instability in its core Asia-North America corridors. |
| Megatrend and thematic driversMegatrends include Quantum Technologies. Themes include Quantum Computing, Quantum Software, and Quantum Sensing. |
| Weak multi-year price returns2Y Excs Rtn is -66%, 3Y Excs Rtn is -95% |
| Penny stockMkt Price is 0.5 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -3.6 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -21% |
| Weak revenue growthRev Chg QQuarterly Revenue Change % is -27% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -13%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -14% |
| Key risksQNME key risks include [1] its deep dependence on a network of third-party carriers and service providers and [2] high exposure to geopolitical and trade instability in its core Asia-North America corridors. |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| QNME Return | - | - | - | - | - | 0% | 0% |
| Peers Return | -16% | -68% | 103% | 319% | 16% | -16% | 123% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 13% | 106% |
Monthly Win Rates [3] | |||||||
| QNME Win Rate | - | - | - | - | - | 0% | |
| Peers Win Rate | 38% | 37% | 52% | 40% | 53% | 48% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| QNME Max Drawdown | - | - | - | - | - | - | |
| Peers Max Drawdown | -70% | -70% | -64% | -58% | -59% | -46% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: IONQ, RGTI, TEM, RXRX, SDGR.
[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 8/5/2026 (YTD)
How Low Can It Go
QNME has limited trading history. Below is the Industrials sector ETF (XLI) in its place.
| Event | XLI | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -15.8% | -18.8% |
| % Gain to Breakeven | 18.8% | 23.1% |
| Time to Breakeven | 34 days | 79 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -11.7% | -9.5% |
| % Gain to Breakeven | 13.2% | 10.5% |
| Time to Breakeven | 45 days | 24 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -20.1% | -24.5% |
| % Gain to Breakeven | 25.1% | 32.4% |
| Time to Breakeven | 125 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -41.6% | -33.7% |
| % Gain to Breakeven | 71.2% | 50.9% |
| Time to Breakeven | 231 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.7% | -19.2% |
| % Gain to Breakeven | 31.1% | 23.8% |
| Time to Breakeven | 120 days | 105 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -11.1% | -12.2% |
| % Gain to Breakeven | 12.5% | 13.9% |
| Time to Breakeven | 51 days | 62 days |
In The Past
State Street Industrial Select Sector SPDR ETF's stock fell -15.8% during the 2025 US Tariff Shock. Such a loss loss requires a 18.8% gain to breakeven.
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QNME has limited trading history. Below is the Industrials sector ETF (XLI) in its place.
| Event | XLI | S&P 500 |
|---|---|---|
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -20.1% | -24.5% |
| % Gain to Breakeven | 25.1% | 32.4% |
| Time to Breakeven | 125 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -41.6% | -33.7% |
| % Gain to Breakeven | 71.2% | 50.9% |
| Time to Breakeven | 231 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.7% | -19.2% |
| % Gain to Breakeven | 31.1% | 23.8% |
| Time to Breakeven | 120 days | 105 days |
| 2011 US Debt Ceiling Crisis & European Contagion | ||
| % Loss | -22.5% | -17.9% |
| % Gain to Breakeven | 29.0% | 21.8% |
| Time to Breakeven | 114 days | 123 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -60.5% | -53.4% |
| % Gain to Breakeven | 153.2% | 114.4% |
| Time to Breakeven | 700 days | 1085 days |
In The Past
State Street Industrial Select Sector SPDR ETF's stock fell -15.8% during the 2025 US Tariff Shock. Such a loss loss requires a 18.8% 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 Quanome Technologies (QNME)
Quanome Technologies (QNME) is a U.S.-based integrated cross-border supply chain solution provider focused on facilitating trade between Asia, specifically China and South Korea, and North America. The company's mission is to establish an efficient, reliable, and affordable corridor for goods entering the U.S. They offer comprehensive, customized logistics services designed to manage the entire import process from Asian origins to various U.S. destinations.
The company's main services include cross-border ocean freight and airfreight solutions, complemented by a wide array of integrated offerings. These include freight consolidation and forwarding, customs clearance services, warehousing and distribution, and U.S. domestic ground transportation. QNME operates two large warehousing and distribution centers in Illinois and Texas and partners with an extensive network of global ocean and air carriers, over 200 domestic ground transportation carriers, and licensed customs brokerage experts.
Quanome Technologies primarily serves logistics service companies based in Asia and the U.S. These customers typically support large e-commerce platforms, social commerce platforms, and manufacturers that need to transport consumer and industrial goods produced in Asia into the U.S. Since its founding in 2018, QNME has experienced rapid growth, having served over 300 customers, fulfilling more than 37,000 orders with an aggregate assessed value of $1.0 billion, and delivering to locations across approximately 48 U.S. states.
AI Analysis | Feedback
QNME is like a specialized C.H. Robinson or Expeditors International, focusing on integrated cross-border logistics from Asia to the U.S.
QNME is like Amazon's FBA (Fulfillment by Amazon), but for large-scale business imports from Asia into the U.S.
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- Cross-border Ocean Freight Solutions: Facilitating the transportation of goods via ocean carriers between Asia and North America.
- Cross-border Airfreight Solutions: Providing expedited transportation of goods via air carriers between Asia and North America.
- Freight Consolidation and Forwarding Services: Combining smaller shipments into larger ones for cost-effective cross-border transport and managing their journey.
- Customs Clearance Services: Assisting customers with the necessary processes and documentation to clear shipments for import into the U.S.
- Warehousing and Distribution Services: Offering storage, fulfillment, transloading, and distribution of goods through their own and partner warehouse network in the U.S.
- U.S. Domestic Ground Transportation Services: Providing inland transportation of goods within the U.S. after international arrival.
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Quanome Technologies (QNME) primarily sells its services to other companies. The company's customers are typically:
- Asia- and U.S.-based logistics service companies
These logistics service companies, in turn, serve large e-commerce platforms, social commerce platforms, and manufacturers to transport consumer and industrial goods from Asia into the U.S.
The provided background information does not name specific customer companies or their symbols.
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Yang Li
Chief Executive Officer Yang Li was appointed joint Chief Executive Officer of Quanome Technologies (formerly Lakeside Holding Limited) effective December 15, 2025. Prior to this, he served as the company's Chief Operating Officer since August 2023. Mr. Li brings extensive leadership experience, having previously served as Chief Executive Officer of Shanghai Nanchao Technology Inc. from 2014 to 2025. He also held roles as Managing Partner at Consensus Capital from 2017 to 2018 and Chief Technology Officer of Dealuse Technology Inc. from 2010 to 2014. Mr. Li began his career at TBA Digital Inc. from 2008 to 2010.Long (Leo) Yi
Chief Financial Officer Long (Leo) Yi serves as the Chief Financial Officer of Quanome Technologies. He was also appointed as a director of the company effective March 14, 2025.Lan Su
Chief Operating Officer Lan Su currently serves as the Chief Operating Officer of Quanome Technologies. He was appointed as a director to the Board effective March 14, 2025.AI Analysis | Feedback
<h3>Key Business Risks for Quanome Technologies (QNME)</h3>
<ol>
<li>
<strong>Heavy Reliance on Third-Party Carriers and Service Providers:</strong> Quanome Technologies' business model is deeply dependent on an extensive network of third-party global freight carriers for ocean and air transport, over 200 domestic ground transportation carriers, and numerous warehousing and distribution terminals. Disruptions to these relationships, changes in their terms, or their inability to meet service demands could severely impact Quanome's operational capacity, service quality, and profitability.
</li>
<li>
<strong>Exposure to Geopolitical and Trade Policy Instability:</strong> With a strategic focus on cross-border supply chain corridors connecting Asia (specifically China and South Korea) and North America, Quanome Technologies is highly vulnerable to adverse changes in international trade relations, tariffs, customs regulations, and geopolitical tensions between these regions. Such factors could reduce the volume of goods transported, increase operational costs, and diminish demand for their services.
</li>
<li>
<strong>Intense Competition in the Logistics and Freight Forwarding Industry:</strong> The company operates in a highly competitive market against a wide range of logistics service providers, from major global players to regional specialists. This intense competition can lead to pricing pressures, demands for continuous service innovation, and challenges in retaining market share, potentially impacting Quanome Technologies' revenue growth and profit margins.
</li>
</ol>AI Analysis | Feedback
AI Analysis | Feedback
The addressable markets for Quanome Technologies' main products and services are substantial, primarily focused on the cross-border logistics corridor between Asia and North America, as well as domestic U.S. logistics services:
-
Cross-border Ocean and Air Freight Solutions (Freight Forwarding and Consolidation):
- The global freight forwarding market was valued at USD 325.18 billion in 2025 and is projected to grow to USD 536.51 billion by 2034. Asia Pacific held the largest share, accounting for 42.17% of the market in 2025, while North America maintained stable growth.
- More specifically, the global Ocean Freight Forwarding market is valued at USD 130.88 billion in 2025 and is projected to reach USD 173.19 billion by 2032. Asia Pacific commands a 37.01% share in 2025, and North America holds 23.06%.
- The Asia Pacific Sea Freight Forwarding Market alone is estimated at USD 144.55 billion in 2025 and is expected to reach USD 198.42 billion by 2030.
- For air freight, the global air freight market size was USD 257.4 billion in 2023 and is projected to grow to USD 501.3 billion by 2030. Asia Pacific dominated this market with a 45.8% revenue share in 2023, and North America is identified as the fastest-growing market.
- The global cross-border logistics market, which encompasses freight forwarding, was valued at USD 119.40 million in 2024 and is anticipated to reach USD 236.69 million by 2032. North America currently leads this market with a 43.65% share in 2024, followed by Asia Pacific with 20.73%.
-
Customs Clearance Services:
- The USA Customs Brokerage Market is estimated at USD 5.17 billion in 2024 and is expected to reach USD 6.59 billion by 2029. Another estimate places the U.S. customs brokerage market size at approximately USD 4.16 billion in 2025, projected to grow to around USD 6.28 billion by 2035.
-
Warehousing and Distribution Services:
- The U.S. warehouse market was valued at USD 247.03 billion in 2025 and is projected to reach USD 442.07 billion by 2034. The U.S. warehousing market generated USD 245.11 billion in 2025 and is expected to reach USD 439.30 billion by 2033.
- Specifically, the market size of the General Warehousing & Storage industry in the United States is $43.9 billion in 2026.
-
U.S. Domestic Ground Transportation Services:
- The U.S. transportation services market was valued at approximately USD 1.8 trillion in 2025 and is projected to reach around USD 3.7 trillion by 2034. The cargo and freight travel segment accounted for 34.2% of the U.S. transportation market share in 2025. Other estimates place the U.S. transportation services market at USD 2.2 trillion, or projected to reach USD 2.6 trillion by the end of 2024 and grow to an expected USD 5.2 trillion by 2033.
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Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 16.59 |
| Mkt Cap | 5.6 |
| Rev LTM | 126 |
| Op Inc LTM | -224 |
| FCF LTM | -211 |
| FCF 3Y Avg | -220 |
| CFO LTM | -191 |
| CFO 3Y Avg | -194 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 10.2% |
| Rev Chg 3Y Avg | 13.1% |
| Rev Chg Q | 10.0% |
| QoQ Delta Rev Chg LTM | 2.3% |
| Op Inc Chg LTM | -20.8% |
| Op Inc Chg 3Y Avg | -33.1% |
| Op Mgn LTM | -254.0% |
| Op Mgn 3Y Avg | -585.6% |
| QoQ Delta Op Mgn LTM | 0.3% |
| CFO/Rev LTM | -135.6% |
| CFO/Rev 3Y Avg | -275.4% |
| FCF/Rev LTM | -142.3% |
| FCF/Rev 3Y Avg | -312.7% |
Price Behavior
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | ||||||
| Up Beta | � | � | � | � | � | � |
| Down Beta | � | � | � | � | � | � |
| Up Capture | 0% | 0% | 0% | 0% | 0% | 0% |
| Bmk +ve Days | 11 | 22 | 35 | 67 | 138 | 427 |
| Stock +ve Days | ||||||
| Down Capture | -0% | -0% | -0% | -0% | -0% | -0% |
| Bmk -ve Days | 11 | 21 | 28 | 59 | 114 | 326 |
| Stock -ve Days |
[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 QNME | |
|---|---|---|---|---|
| QNME | - | - | - | - |
| Sector ETF (XLI) | 24.7% | 17.0% | 1.13 | - |
| Equity (SPY) | 23.1% | 12.9% | 1.34 | - |
| Gold (GLD) | 25.4% | 28.3% | 0.79 | - |
| Commodities (DBC) | 29.5% | 19.8% | 1.19 | - |
| Real Estate (VNQ) | 14.4% | 13.7% | 0.74 | - |
| Bitcoin (BTCUSD) | -44.6% | 42.9% | -1.25 | - |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with QNME | |
|---|---|---|---|---|
| QNME | - | - | - | - |
| Sector ETF (XLI) | 14.3% | 17.6% | 0.64 | - |
| Equity (SPY) | 13.4% | 17.2% | 0.60 | - |
| Gold (GLD) | 18.2% | 18.6% | 0.79 | - |
| Commodities (DBC) | 8.1% | 19.6% | 0.31 | - |
| Real Estate (VNQ) | 2.5% | 18.9% | 0.03 | - |
| Bitcoin (BTCUSD) | 9.9% | 53.0% | 0.37 | - |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with QNME | |
|---|---|---|---|---|
| QNME | - | - | - | - |
| Sector ETF (XLI) | 14.2% | 20.0% | 0.62 | - |
| Equity (SPY) | 15.3% | 17.9% | 0.73 | - |
| Gold (GLD) | 12.0% | 16.2% | 0.60 | - |
| Commodities (DBC) | 7.1% | 18.0% | 0.31 | - |
| Real Estate (VNQ) | 4.9% | 20.7% | 0.20 | - |
| Bitcoin (BTCUSD) | 58.2% | 66.2% | 0.98 | - |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Industry Resources
| Industrials Resources |
| IndustryWeek |
| Manufacturing.net |
| Aviation Week |
| Air Freight & Logistics Resources |
| Air Cargo World |
| Logistics Management |
| Journal of Commerce (JOC) |
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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