Smart Logistics Global (SLGB)
Market Price (5/30/2026): $0.4609 | Market Cap: $-Sector: Industrials | Industry: Air Freight & Logistics
Smart Logistics Global (SLGB)
Market Price (5/30/2026): $0.4609Market Cap: $-Sector: 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 E-commerce Logistics & Data Centers, Automation & Robotics, and E-commerce & DTC Adoption. Themes include E-commerce Logistics, Show more. | Weak multi-year price returns2Y Excs Rtn is -135%, 3Y Excs Rtn is -174% | Penny stockMkt Price is 0.5 High stock price volatilityVol 12M is 230% Key risksSLGB key risks include [1] deteriorating financial results, Show more. |
| Megatrend and thematic driversMegatrends include E-commerce Logistics & Data Centers, Automation & Robotics, and E-commerce & DTC Adoption. Themes include E-commerce Logistics, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -135%, 3Y Excs Rtn is -174% |
| Penny stockMkt Price is 0.5 |
| High stock price volatilityVol 12M is 230% |
| Key risksSLGB key risks include [1] deteriorating financial results, Show more. |
Qualitative Assessment
AI Analysis | Feedback
Updated on 5/22/2026
Smart Logistics Global (SLGB) stock has lost about 80% since 1/31/2026 because of the following key factors:
1. Smart Logistics Global reported a significant revenue decline and a swing to a net loss for fiscal year 2025, announced on April 30, 2026. Revenues decreased by 7.3% year-on-year to approximately US$89.9 million (RMB628.5 million), and the company recorded a net loss of US$2.6 million (RMB18.2 million) for 2025, compared to a net income in 2024.
2. A material non-cash share-based consulting expense was the primary driver of the net loss in fiscal year 2025. This expense significantly impacted the company's profitability, causing income from operations to decrease from RMB11.4 million in 2024 to a net loss of RMB14.2 million (US$2.0 million) in 2025, despite an improvement in gross profit margin from 4.1% to 4.7%.
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Smart Logistics Global (SLGB) stock has lost about 80% since 1/31/2026 because of the following key factors:
1. Smart Logistics Global reported a significant revenue decline and a swing to a net loss for fiscal year 2025, announced on April 30, 2026. Revenues decreased by 7.3% year-on-year to approximately US$89.9 million (RMB628.5 million), and the company recorded a net loss of US$2.6 million (RMB18.2 million) for 2025, compared to a net income in 2024.
2. A material non-cash share-based consulting expense was the primary driver of the net loss in fiscal year 2025. This expense significantly impacted the company's profitability, causing income from operations to decrease from RMB11.4 million in 2024 to a net loss of RMB14.2 million (US$2.0 million) in 2025, despite an improvement in gross profit margin from 4.1% to 4.7%.
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Stock Movement Drivers
Fundamental Drivers
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Market Drivers
1/31/2026 to 5/29/2026| Return | Correlation | |
|---|---|---|
| SLGB | -78.2% | |
| Market (SPY) | 9.6% | 16.7% |
| Sector (XLI) | 4.9% | 10.2% |
Fundamental Drivers
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Market Drivers
10/31/2025 to 5/29/2026| Return | Correlation | |
|---|---|---|
| SLGB | -81.9% | |
| Market (SPY) | 11.5% | 11.7% |
| Sector (XLI) | 12.4% | 7.1% |
Fundamental Drivers
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Market Drivers
4/30/2025 to 5/29/2026| Return | Correlation | |
|---|---|---|
| SLGB | ||
| Market (SPY) | 38.0% | 7.6% |
| Sector (XLI) | 33.7% | 5.9% |
Fundamental Drivers
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Market Drivers
4/30/2023 to 5/29/2026| Return | Correlation | |
|---|---|---|
| SLGB | ||
| Market (SPY) | 89.0% | 7.6% |
| Sector (XLI) | 81.1% | 5.9% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| SLGB Return | - | - | - | - | -76% | -58% | -90% |
| Peers Return | 35% | -24% | 46% | 9% | 18% | 28% | 147% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 10% | 101% |
Monthly Win Rates [3] | |||||||
| SLGB Win Rate | - | - | - | - | 0% | 20% | |
| Peers Win Rate | 63% | 42% | 60% | 52% | 65% | 64% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 60% | |
Max Drawdowns [4] | |||||||
| SLGB Max Drawdown | - | - | - | - | - | -84% | |
| Peers Max Drawdown | -18% | -38% | -27% | -25% | -31% | -21% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: CHRW, JBHT, XPO, GXO, SNDR.
[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 5/29/2026 (YTD)
How Low Can It Go
SLGB 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.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
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SLGB 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 Smart Logistics Global (SLGB)
Our mission is to develop a road-transport smart logistics digital ecosystem through innovation, digital analytics and infrastructure establishment. We are a well-established, reputable and innovative business-to-business contract logistics solution provider in the PRC focusing on industrial raw materials line-haul transportation business. Leveraging on our intelligence on the macro-logistics landscape of our targeted markets, we are able to offer our customers cost-efficient, flexible and reliable logistic solutions with optimized transportation methods and routes tailored to their varying needs. We primarily provide land-only transportation as of the date of this prospectus. A significant portion of our customers are large institutional customers, with whom we have maintained long-term business relationships and typically enter into contracts for our provision of logistics solutions on a yearly basis. It is our strategy to prioritize these large customers because they have a consistent demand for high volume and long distance transportations between designated locations, which are generally more favourable for our operational efficiency, cost management and pricing, and provide more stable recurring revenue stream. Our business model has the following characteristics: · We provide efficient logistics solutions for customers. Unlike digital matching platform providers who provide shippers with a digital platform for shippers to directly engage drivers or owners of trucks individually, we provide logistics solutions to shippers over the contracted period. We analyze the varying needs of our customers and offer comprehensive solutions comprising the selection of suitable trucks and transportation equipment for the job, the optimized cost- and time-saving routes and modes of transportation, among other things. We also offer payment terms to our customers. We maintain good relationships with our customers who generally give us recurring orders, and also a pool of registered truckers to fulfil the transportation needs of our customers. · We focus on digital analytics. Our ability to provide efficient logistics solutions to our customers rides on our intelligence on the macro-logistics landscape of our targeted markets. We have developed our proprietary digitized system, including a Transportation Management System (TMS), during 2017 to 2019 through software companies which stores typical logistics data we gathered throughout our years of operation, such as truck load information, for our use. Leveraging on our experience, we are able to propose logistics solutions that give the shortest, fastest and/or most cost-efficient transportation method, mode and routes, advise logistics solutions beneficial to our customers. · We focus on infrastructure investment. One of our business strategies is to invest in high-end digital road logistics infrastructure. Our business is supported by our 7 full-truck load (“FTL”) centres strategically located in the PRC. Such facilities can facilitate our local data feed for our use and analysis as well as local business development. We have invested in a smart logistics park in Jiangxi, PRC with over 100,000 square meters (approximately 1,184,000 square feet) on which we intend to place facilities including smart warehouses, cold chain storages, packaging lines, parking spaces, data center, truck services bay and truckers accommodation spaces. In the future, with our logistics hubs and nodes laid in strategic nodes across China, we foresee that it can achieve cost saving in our contract logistics operation and facilitate our business expansion into less-than-truckload operation. Our principal executive offices are located Hong Kong.
AI Analysis | Feedback
Here are 1-3 brief analogies to describe Smart Logistics Global (SLGB):
- Imagine Amazon's fulfillment network, but built to manage complex, large-scale industrial raw material transportation for other businesses across China, powered by its own digital intelligence and physical logistics hubs.
- Think of them as a data-driven C.H. Robinson specializing in industrial freight in China, with a unique emphasis on owning and developing advanced smart logistics infrastructure.
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- Contract Logistics Solutions: Providing customized, cost-efficient, and reliable land-only transportation services, primarily full-truck load (FTL) for industrial raw materials, to business clients under long-term contracts.
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Smart Logistics Global (SLGB) primarily sells to other companies (business-to-business).
Based on the provided information, the specific names of SLGB's major customer companies are not disclosed. However, the company states that a significant portion of its customers are "large institutional customers" with whom they maintain long-term business relationships. These customers typically require high-volume and long-distance transportation of industrial raw materials.
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Kwok Chiu (Boris) Hue, Chairman of the Board, Chief Executive Officer
Mr. Hue is the Founder of Smart Logistics Global Limited, establishing the company in July 2017. He has served as Chief Executive Officer since October 2024. Upon the completion of the company's initial public offering, Mr. Hue is expected to beneficially own approximately 97.6% of the issued and outstanding shares, giving him control over matters requiring shareholder approval.
Tai On Lo, Chief Financial Officer, Director
Mr. Lo serves as the Chief Financial Officer and a Director of Smart Logistics Global Limited.
Kwun Ting Law, Chief Operation Officer of Jiabin HK
Mr. Law is the Chief Operation Officer of Jiabin HK, a subsidiary of Smart Logistics Global Limited.
Fu Lam (Derek) Wong, Chief Technology Officer of Jiabin HK
Mr. Wong serves as the Chief Technology Officer of Jiabin HK, a subsidiary of Smart Logistics Global Limited.
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Key Risks to Smart Logistics Global (SLGB):
- Significant Reliance on a Limited Number of Large Institutional Customers: Smart Logistics Global prioritizes large institutional customers and maintains long-term business relationships with them, typically entering into yearly contracts. A significant portion of its revenue is derived from these customers. The loss of one or more of these key clients could lead to a substantial decrease in demand for its services and materially impact its financial performance.
- Heavy Capital Investment in Infrastructure and Proprietary Digital Systems: The company has invested in seven full-truck load (FTL) centers and a smart logistics park in Jiangxi, PRC, encompassing over 100,000 square meters. Additionally, it relies on a proprietary digitized Transportation Management System (TMS) developed between 2017 and 2019. These significant capital expenditures and reliance on technology carry risks, including the potential for lower-than-expected returns on investment, operational challenges with new facilities, technological obsolescence, or system failures that could disrupt operations and increase costs.
- Exposure to Economic and Regulatory Conditions in the PRC and Fluctuations in the Industrial Raw Materials Sector: Smart Logistics Global primarily operates in the People's Republic of China (PRC) and focuses on the line-haul transportation of industrial raw materials. Consequently, its business is highly susceptible to economic downturns, changes in regulatory policies within the PRC, and volatility in the demand and pricing for industrial raw materials, all of which could negatively affect its operational volume, revenue, and profitability.
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The addressable markets for Smart Logistics Global (SLGB) in China, based on its main products and services, are substantial:
- Road Freight Transport: The China Road Freight Transport Market size is estimated at USD 472.8 billion in 2025 and is expected to reach USD 633.2 billion by 2030, growing at a CAGR of 6.02% during the forecast period (2025-2030). Another estimate places the market at USD 472.77 billion in 2025, projected to reach USD 668.55 billion by 2031. SLGB primarily focuses on line-haul transportation, which falls under long-haul operations, accounting for 75.40% of the revenue share in the China road freight transport market in 2025.
- Contract Logistics: The China contract logistics market generated a revenue of USD 42,184.9 million (approximately USD 42.18 billion) in 2024 and is expected to reach USD 69,642.0 million (approximately USD 69.64 billion) by 2030, with transportation being the largest revenue-generating service segment.
- Less-than-Truckload (LTL) Operations: The China Less-than-Truckload (LTL) Market size is estimated at USD 99.56 billion in 2025 and is expected to reach USD 137.9 billion by 2030, growing at a CAGR of 6.74% during the forecast period (2025-2030). Another projection estimates the market at USD 105.87 billion in 2026, growing to USD 143.98 billion by 2031.
- Cold Chain Logistics: The China cold chain logistics market is valued at USD 85.82 billion in 2025 and is projected to expand at a compound annual growth rate (CAGR) of 10.07% to USD 184.8 billion by 2033. Other data indicates the market is expected to grow from USD 94.46 billion in 2025 to USD 172.6 billion by 2031.
- Smart Logistics (including smart warehouses and digital ecosystems): While a specific market size for "smart warehouses" in China was not identified, the broader Asia Pacific Smart Logistics Market (which China significantly contributes to) commands 34% of the global market. The global smart logistics market size is projected to be valued at US$ 56.1 billion in 2026 and reach US$ 209.4 billion by 2033, growing at a CAGR of 20.7% between 2026 and 2033. Based on these figures, the addressable market in Asia Pacific would be approximately USD 19.07 billion in 2026.
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Here are the expected drivers of future revenue growth for Smart Logistics Global (SLGB) over the next 2-3 years:
- Continued Economic Growth in the PRC: Smart Logistics Global's revenue growth is closely tied to the economic health of China. The company's recent 11.4% revenue increase for the six months ending June 30, 2025, was primarily driven by heightened customer demand linked to overall economic growth in the PRC. This indicates that sustained economic expansion in China will continue to fuel demand for transportation services and, consequently, Smart Logistics Global's revenue.
- Expansion of Logistics Network and Infrastructure Investment: The company is actively investing in and expanding its physical and digital logistics infrastructure. This includes the strategic establishment of a Northern Supply Chain Center in Xuzhou, Jiangsu Province, which complements its existing Southern Center in Jiangxi Province, creating a "North-South dual-core logistics framework". This expansion aims to enhance national coverage, improve operational resilience, and support client growth in key industrial regions. Smart Logistics Global also plans to establish five major logistics hubs across China.
- Growth in Trucker Network and Enhanced Digital Platform Efficiencies: Smart Logistics Global is focusing on expanding its network of registered truckers and leveraging its proprietary Transportation Management System (TMS) for optimization. The number of truckers registered in their TMS increased from approximately 130,000 in December 2024 to over 140,000, and the company intends to continue this expansion. This growing network, combined with digital analytics for optimizing routes and equipment, allows the company to offer more cost-efficient, flexible, and reliable logistics solutions, potentially attracting more customers and handling higher volumes.
- Expansion into Less-Than-Truckload (LTL) Operations: While primarily focused on full-truck load (FTL) transportation, the company is expanding its service offerings to include less-than-truckload (LTL) transportation. The new Northern Supply Chain Center in Xuzhou is intended to integrate LTL services to serve clients in bulk industrial materials. This strategic move into LTL operations, supported by new logistics hubs, opens up a new market segment and revenue stream beyond their traditional line-haul business.
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Share Issuance
- Smart Logistics Global completed its initial public offering (IPO) on October 16, 2025.
- The company issued 1,000,000 ordinary shares at a price of $5.00 per share, resulting in gross proceeds of $5,000,000 before deducting underwriting discounts and other expenses.
- An over-allotment option was granted to underwriters for up to an additional 150,000 ordinary shares, exercisable within 45 days from the closing date of the offering.
Capital Expenditures
- Smart Logistics Global plans to allocate 50% of the net proceeds from its IPO towards infrastructure investments.
- These infrastructure investments include the development of a 110,000-square-meter smart logistics park in Jiangxi Province and enhancing its seven full-truck load (FTL) centers strategically located across China.
- In the last 12 months, the company reported capital expenditures of -$48,568.
Trade Ideas
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| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 04302026 | GEO | GEO | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 0.0% | 0.0% | 0.0% |
| 04302026 | RUN | Sunrun | Special | Short Squeeze PotentialShort Squeeze PotentialHas potential for a short squeeze. High short interest, rising short interest and high debt. | 0.0% | 0.0% | 0.0% |
| 04172026 | RSG | Republic Services | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 0.8% | 0.8% | -1.1% |
| 04102026 | VRSK | Verisk Analytics | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 12.3% | 12.3% | 0.0% |
| 04102026 | UHAL | U-Haul | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 0.3% | 0.3% | -1.0% |
Research & Analysis
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Peer Comparisons
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Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 114.38 |
| Mkt Cap | 21.4 |
| Rev LTM | 12,134 |
| Op Inc LTM | 760 |
| FCF LTM | 458 |
| FCF 3Y Avg | 201 |
| CFO LTM | 877 |
| CFO 3Y Avg | 657 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 3.6% |
| Rev Chg 3Y Avg | -3.6% |
| Rev Chg Q | 4.6% |
| QoQ Delta Rev Chg LTM | 1.1% |
| Op Inc Chg LTM | 9.6% |
| Op Inc Chg 3Y Avg | 1.5% |
| Op Mgn LTM | 4.9% |
| Op Mgn 3Y Avg | 3.9% |
| QoQ Delta Op Mgn LTM | 0.1% |
| CFO/Rev LTM | 11.3% |
| CFO/Rev 3Y Avg | 10.7% |
| FCF/Rev LTM | 5.0% |
| FCF/Rev 3Y Avg | 1.8% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 21.4 |
| P/S | 1.3 |
| P/Op Inc | 29.3 |
| P/EBIT | 29.1 |
| P/E | 43.5 |
| P/CFO | 16.1 |
| Total Yield | 2.7% |
| Dividend Yield | 0.6% |
| FCF Yield 3Y Avg | 3.1% |
| D/E | 0.1 |
| Net D/E | 0.1 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -2.7% |
| 3M Rtn | -0.7% |
| 6M Rtn | 32.1% |
| 12M Rtn | 67.6% |
| 3Y Rtn | 52.7% |
| 1M Excs Rtn | -8.9% |
| 3M Excs Rtn | -10.9% |
| 6M Excs Rtn | 21.7% |
| 12M Excs Rtn | 39.4% |
| 3Y Excs Rtn | -28.6% |
Earnings Returns History
Updated 5/29/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| SUMMARY STATS | |||
| # Positive | 0 | 0 | 0 |
| # Negative | 0 | 0 | 0 |
| Median Positive | |||
| Median Negative | |||
| Max Positive | |||
| Max Negative | |||
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Core Cache Last Updated: 5/29/2026