Landstar System (LSTR)
Market Price (6/15/2026): $224.17 | Market Cap: $7.6 BilSector: Industrials | Industry: Cargo Ground Transportation
Landstar System (LSTR)
Market Price (6/15/2026): $224.17Market Cap: $7.6 BilSector: IndustrialsIndustry: Cargo Ground Transportation
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Low stock price volatilityVol 12M is 35% Megatrend and thematic driversMegatrends include Future of Freight, and E-commerce & DTC Adoption. Themes include Freight Technology, and Supply Chain Digitization. | Trading close to highsDist 52W High is -0.5%, Dist 3Y High is -0.5% Weak multi-year price returns2Y Excs Rtn is -8.7%, 3Y Excs Rtn is -47% | Expensive valuation multiplesP/EBITPrice/EBIT or Price/(Operating Income) ratio is 41x, P/EPrice/Earnings or Price/(Net Income) is 61x Weak revenue growthRev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -11% Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 55% Key risksLSTR key risks include [1] financial and reputational damage from a significant supply chain fraud incident highlighting weak internal controls and [2] substantial cost and operational threats to its independent contractor model from zero-emission vehicle regulations. |
| Low stock price volatilityVol 12M is 35% |
| Megatrend and thematic driversMegatrends include Future of Freight, and E-commerce & DTC Adoption. Themes include Freight Technology, and Supply Chain Digitization. |
| Trading close to highsDist 52W High is -0.5%, Dist 3Y High is -0.5% |
| Weak multi-year price returns2Y Excs Rtn is -8.7%, 3Y Excs Rtn is -47% |
| Expensive valuation multiplesP/EBITPrice/EBIT or Price/(Operating Income) ratio is 41x, P/EPrice/Earnings or Price/(Net Income) is 61x |
| Weak revenue growthRev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -11% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 55% |
| Key risksLSTR key risks include [1] financial and reputational damage from a significant supply chain fraud incident highlighting weak internal controls and [2] substantial cost and operational threats to its independent contractor model from zero-emission vehicle regulations. |
Qualitative Assessment
AI Analysis | Feedback
Landstar System (LSTR) stock has gained about 40% since 2/28/2026 because of the following key factors:
1. Landstar System reported strong fiscal Q1 2026 financial results that surpassed analyst expectations.
The company announced its fiscal Q1 2026 earnings on April 28, 2026, with an Earnings Per Share (EPS) of $1.16, exceeding the consensus estimate of $1.11 by $0.05. Total revenue for the quarter reached $1.17 billion, slightly above the anticipated $1.16 billion. Net income increased to $39.4 million, or $1.16 per share, a 36% increase compared to $29.8 million, or $0.85 per share, in fiscal Q1 2025. This improved performance was driven by a 6% increase in truck revenue per load and a 7% rise in variable contribution year-over-year, the first such increase since fiscal Q3 2022. Landstar also saw its gross profit margin improve to 9.6% from 8.5% in the prior year, partly due to lower insurance and claims costs.
2. Analysts responded with positive revisions and increased price targets following the solid earnings report.
Several financial institutions upgraded their outlook for Landstar System. Wells Fargo raised its price target from $170.00 to $200.00 and maintained an "overweight" rating on April 29, 2026. Additionally, Zacks Research increased its fiscal Q2 2026 EPS estimate for Landstar System to $1.36 from $1.31 on May 12, 2026, and projected continued earnings growth into fiscal years 2027 and 2028. Stifel also boosted its price target to $175 from $147 after the fiscal Q1 results, indicating confidence in the company's yield performance. More broadly, 14 analysts revised their earnings estimates upwards for the upcoming period.
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Stock Movement Drivers
Fundamental Drivers
The 37.9% change in LSTR stock from 2/28/2026 to 6/14/2026 was primarily driven by a 26.6% change in the company's P/E Multiple.| (LTM values as of) | 2282026 | 6142026 | Change |
|---|---|---|---|
| Stock Price ($) | 162.59 | 224.27 | 37.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 4,744 | 4,763 | 0.4% |
| Net Income Margin (%) | 2.4% | 2.6% | 7.9% |
| P/E Multiple | 48.4 | 61.2 | 26.6% |
| Shares Outstanding (Mil) | 34 | 34 | 0.6% |
| Cumulative Contribution | 37.9% |
Market Drivers
2/28/2026 to 6/14/2026| Return | Correlation | |
|---|---|---|
| LSTR | 37.9% | |
| Market (SPY) | 8.4% | 27.4% |
| Sector (XLI) | -0.3% | 35.2% |
Fundamental Drivers
The 74.6% change in LSTR stock from 11/30/2025 to 6/14/2026 was primarily driven by a 89.1% change in the company's P/E Multiple.| (LTM values as of) | 11302025 | 6142026 | Change |
|---|---|---|---|
| Stock Price ($) | 128.46 | 224.27 | 74.6% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 4,779 | 4,763 | -0.3% |
| Net Income Margin (%) | 2.9% | 2.6% | -8.9% |
| P/E Multiple | 32.4 | 61.2 | 89.1% |
| Shares Outstanding (Mil) | 35 | 34 | 1.6% |
| Cumulative Contribution | 74.6% |
Market Drivers
11/30/2025 to 6/14/2026| Return | Correlation | |
|---|---|---|
| LSTR | 74.6% | |
| Market (SPY) | 9.2% | 29.2% |
| Sector (XLI) | 15.3% | 36.2% |
Fundamental Drivers
The 68.0% change in LSTR stock from 5/31/2025 to 6/14/2026 was primarily driven by a 132.7% change in the company's P/E Multiple.| (LTM values as of) | 5312025 | 6142026 | Change |
|---|---|---|---|
| Stock Price ($) | 133.49 | 224.27 | 68.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 4,801 | 4,763 | -0.8% |
| Net Income Margin (%) | 3.7% | 2.6% | -29.7% |
| P/E Multiple | 26.3 | 61.2 | 132.7% |
| Shares Outstanding (Mil) | 35 | 34 | 3.5% |
| Cumulative Contribution | 68.0% |
Market Drivers
5/31/2025 to 6/14/2026| Return | Correlation | |
|---|---|---|
| LSTR | 68.0% | |
| Market (SPY) | 27.3% | 31.9% |
| Sector (XLI) | 25.0% | 40.3% |
Fundamental Drivers
The 36.2% change in LSTR stock from 5/31/2023 to 6/14/2026 was primarily driven by a 297.0% change in the company's P/E Multiple.| (LTM values as of) | 5312023 | 6142026 | Change |
|---|---|---|---|
| Stock Price ($) | 164.66 | 224.27 | 36.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 6,902 | 4,763 | -31.0% |
| Net Income Margin (%) | 5.6% | 2.6% | -53.0% |
| P/E Multiple | 15.4 | 61.2 | 297.0% |
| Shares Outstanding (Mil) | 36 | 34 | 5.8% |
| Cumulative Contribution | 36.2% |
Market Drivers
5/31/2023 to 6/14/2026| Return | Correlation | |
|---|---|---|
| LSTR | 36.2% | |
| Market (SPY) | 84.5% | 41.1% |
| Sector (XLI) | 90.2% | 52.2% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| LSTR Return | 36% | -7% | 21% | -10% | -14% | 60% | 88% |
| Peers Return | 132% | -16% | 37% | -0% | 9% | 50% | 337% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 8% | 97% |
Monthly Win Rates [3] | |||||||
| LSTR Win Rate | 58% | 33% | 50% | 58% | 42% | 83% | |
| Peers Win Rate | 72% | 38% | 52% | 55% | 60% | 70% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| LSTR Max Drawdown | -17% | -22% | -21% | -16% | -32% | -16% | |
| Peers Max Drawdown | -23% | -37% | -28% | -31% | -38% | -32% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: KNX, SAIA, R, SNDR, CAR. See LSTR Returns vs. Peers.
[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 6/12/2026 (YTD)
How Low Can It Go
| Event | LSTR | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -16.9% | -18.8% |
| % Gain to Breakeven | 20.4% | 23.1% |
| Time to Breakeven | 276 days | 79 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -19.8% | -9.5% |
| % Gain to Breakeven | 24.6% | 10.5% |
| Time to Breakeven | 937 days | 24 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -21.1% | -24.5% |
| % Gain to Breakeven | 26.8% | 32.4% |
| Time to Breakeven | 207 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -22.2% | -33.7% |
| % Gain to Breakeven | 28.6% | 50.9% |
| Time to Breakeven | 58 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.1% | -19.2% |
| % Gain to Breakeven | 30.1% | 23.8% |
| Time to Breakeven | 305 days | 105 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -21.0% | -12.2% |
| % Gain to Breakeven | 26.6% | 13.9% |
| Time to Breakeven | 170 days | 62 days |
In The Past
Landstar System's stock fell -16.9% during the 2025 US Tariff Shock. Such a loss loss requires a 20.4% gain to breakeven.
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| Event | LSTR | S&P 500 |
|---|---|---|
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -21.1% | -24.5% |
| % Gain to Breakeven | 26.8% | 32.4% |
| Time to Breakeven | 207 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -22.2% | -33.7% |
| % Gain to Breakeven | 28.6% | 50.9% |
| Time to Breakeven | 58 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.1% | -19.2% |
| % Gain to Breakeven | 30.1% | 23.8% |
| Time to Breakeven | 305 days | 105 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -21.0% | -12.2% |
| % Gain to Breakeven | 26.6% | 13.9% |
| Time to Breakeven | 170 days | 62 days |
| 2011 US Debt Ceiling Crisis & European Contagion | ||
| % Loss | -21.9% | -17.9% |
| % Gain to Breakeven | 28.1% | 21.8% |
| Time to Breakeven | 123 days | 123 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -34.6% | -53.4% |
| % Gain to Breakeven | 53.0% | 114.4% |
| Time to Breakeven | 379 days | 1085 days |
In The Past
Landstar System's stock fell -16.9% during the 2025 US Tariff Shock. Such a loss loss requires a 20.4% 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 Landstar System (LSTR)
AI Analysis | Feedback
Here are a few analogies to describe Landstar System:
Uber for freight: Landstar connects businesses needing to ship goods with a vast network of independent truck drivers and capacity providers, much like Uber connects riders with drivers.
Expedia for business logistics: Landstar acts as a comprehensive broker for businesses, arranging diverse transportation solutions—from truck and rail to air and ocean cargo—by leveraging various third-party carriers, similar to how Expedia helps travelers find and book different travel options.
AI Analysis | Feedback
```html- Full Truckload (FTL) and Less-than-Truckload (LTL) Services: Provides ground transportation for both full trailer loads and smaller shipments.
- Rail Intermodal Services: Combines rail transport with other modes like truck for efficient freight movement.
- Air Cargo Services: Offers domestic and international shipping of goods via air carriers.
- Ocean Cargo Services: Facilitates the shipment of freight across oceans using various shipping lines.
- Expedited Delivery Services: Provides rapid ground and air transport for time-sensitive and critical freight.
- Heavy-Haul/Specialized Transportation: Handles the movement of oversized, overweight, or unique cargo requiring specialized equipment.
- Cross-Border & Intra-Country Transportation: Manages freight movement between the U.S., Canada, and Mexico, as well as within Canada and Mexico.
- Project Cargo Services: Offers comprehensive logistics solutions for large-scale, complex, or high-value projects.
- Customs Brokerage Services: Assists clients with the necessary documentation and processes for international customs clearance.
- Third-Party Logistics (3PL) Services: Provides transportation solutions and capacity to other logistics and small package service providers.
- Contractor Reinsurance: Reinsures specific risks associated with the company's network of independent contractors.
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```htmlFrank Lonegro President and Chief Executive Officer
Frank Lonegro assumed the role of President and Chief Executive Officer of Landstar in 2024. [10] Prior to joining Landstar, he served as Executive Vice President and Chief Financial Officer at Beacon Building Products. [9, 10] He also spent nearly two decades at CSX Corporation, a Fortune 500 rail and intermodal transportation company, where his leadership roles included Executive Vice President and Chief Financial Officer from 2015 to 2019, President of CSX Technology, Vice President of Service Design, and Vice President of Mechanical. [5, 9, 10] Earlier in his career, Lonegro worked in private and in-house counsel roles. [10]
Jim Todd Vice President and Chief Financial Officer
Jim Todd serves as Vice President and Chief Financial Officer of Landstar. [11] He is responsible for the company's financial, transportation, administrative, and accounting operations, overseeing the accounting, finance, tax, treasury, and credit functions. [11] Todd joined Landstar in 2013 and has held several finance leadership positions within the company. [11, 16] Before his tenure at Landstar, he spent three years in KPMG LLP's audit division, where he served as an independent auditor for the Landstar account. [11]
Joe Beacom President, Landstar System Holdings, Inc.
Joe Beacom was named President of Landstar System Holdings, Inc., effective December 1, 2024. [1, 3] He brings three decades of extensive leadership experience at Landstar. [1, 3] Beacom is set to transition to a Special Advisor to the CEO role at the end of 2025, ahead of his anticipated retirement in the first quarter of 2026. [1, 3] He previously held the position of Vice President and Chief Safety and Operations Officer. [1]
Matt Miller Vice President and Chief Safety and Operations Officer
Matt Miller was appointed Vice President and Chief Safety and Operations Officer, effective December 1, 2024. [1, 3] In this expanded role, he holds enterprise responsibility for all operational matters related to Landstar's capacity network of truck owner-operators and third-party truck brokerage carriers. [1] His responsibilities also continue to include safety, compliance, trailer maintenance and utilization, and operations solutions. [1] Miller has a 15-year career at Landstar, during which he has held roles of increasing responsibility in safety, operations, finance, and risk management. [1]
```AI Analysis | Feedback
```htmlLandstar System (LSTR) faces several key risks inherent to its business model and the transportation logistics industry:
-
Dependence on Third-Party Capacity and Market Fluctuations: Landstar operates an asset-light model, relying heavily on a network of independent owner-operators and third-party capacity providers for its transportation services. This dependence exposes the company to risks associated with the availability and cost of qualified drivers and equipment. A persistent shortage of truck drivers, increased competition for capacity, or significant increases in operating costs for carriers (such as fuel, maintenance, or regulatory compliance) could limit Landstar's ability to secure necessary capacity, increase its costs, impact service levels, and ultimately compress profit margins.
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Economic Sensitivity and Freight Volume Volatility: As a transportation logistics provider, Landstar's business performance is directly tied to the overall health of the economy, industrial production levels, and consumer spending. Economic slowdowns, recessions, or significant disruptions to supply chains can lead to reduced freight volumes, lower demand for transportation services, and increased pricing pressure. Such conditions would negatively impact Landstar's revenue and profitability across its various transportation services, including truckload, less-than-truckload, rail, air, and ocean cargo.
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Insurance Segment Underwriting Risk: Landstar's Insurance segment reinsures certain risks of the company's independent contractors. This exposes Landstar to underwriting risks, meaning the potential for losses if claims from its contractor network (e.g., related to accidents, cargo damage, or other insurable events) exceed the premiums collected. Unfavorable claims development, changes in accident frequency or severity, or unexpected liabilities could negatively impact the financial results of this segment.
AI Analysis | Feedback
Digital freight brokerages and AI-powered logistics platforms that leverage technology to automate and optimize freight matching, offering increased transparency, efficiency, and potentially lower costs to shippers and carriers. This directly threatens Landstar's traditional agent-based model for finding and managing capacity, as well as its ability to compete on price and speed if these platforms gain significant traction and offer a superior user experience or network effects by directly connecting shippers with capacity providers.
Autonomous trucking technology, which could fundamentally alter the trucking industry by changing the cost structure, labor requirements, and source of capacity. As Landstar heavily relies on a network of independent human owner-operators, the widespread adoption of autonomous trucks could diminish demand for human-driven contractors, challenging Landstar's entire capacity acquisition model, its insurance segment, and potentially leading to new, vertically integrated logistics players who own and operate autonomous fleets.
AI Analysis | Feedback
Landstar System, Inc. (LSTR) operates in several large addressable markets for its transportation and logistics services:
- Third-Party Logistics (3PL): The global third-party logistics market was valued at approximately USD 1.29 trillion in 2025. In North America, this market was estimated at USD 454.8 billion in 2025.
- Truckload Transportation (Full Truckload - FTL): The United States Full-Truck-Load (FTL) market size is estimated at USD 448.6 billion in 2025.
- Less-Than-Truckload (LTL) Transportation: The global less-than-truckload market size was valued at USD 220.76 billion in 2025. For North America, the less-than-truckload market generated a revenue of USD 84,628.9 million (approximately USD 84.6 billion) in 2024.
- Rail Intermodal: The global Intermodal Freight Transportation market was valued at USD 68.97 billion in 2025. North America dominates the global intermodal transport market.
- Air Cargo: The global Air Cargo Market size was approximately USD 186.2 billion in 2025. The North America Air Cargo Market held a major market share of more than 40% of the global revenue, with a market size of approximately USD 74.5 billion in 2025.
- Ocean Cargo (Maritime Freight Transport): The global maritime freight transport market size was valued at USD 371.9 billion in 2023. The global ocean freight forwarding market is projected to exceed USD 108.8 billion by 2032.
AI Analysis | Feedback
Landstar System (LSTR) is expected to drive future revenue growth over the next 2-3 years through several key initiatives and market trends:
- Continued Growth in Heavy-Haul and Specialized Freight: Landstar has demonstrated significant strength in its heavy-haul segment, with revenue increasing 23% year-over-year in the fourth quarter of 2025, driven by a 16% rise in revenue per load and a 7% increase in volume. This segment, which includes unsided/platform equipment, accounted for approximately 42% of unsided revenue in Q4 2025, up from 34% in the prior year, indicating a shift towards higher-value, specialized freight. The company recorded a record $569 million in heavy-haul revenue for fiscal year 2025, a 14% increase over 2024. Management expects specialized services to outpace general freight growth.
- Expansion of U.S.-Mexico Cross-Border Operations: Landstar is strategically focusing on expanding its U.S.-Mexico cross-border operations, which, along with heavy-haul, comprise about 20% of its business. The company aims for double-digit cross-border load growth through 2026, leveraging its Laredo presence and agent network.
- Investments in Technology and AI for Operational Efficiency and Agent Empowerment: Landstar is prioritizing technology investments, dedicating approximately 50% of its IT capital expenditures budget for 2026 to AI enablement and solutions. These investments are intended to empower agents and business capacity owners (BCOs) and enhance overall operational efficiency. The company also plans to embed Transportation Management System (TMS) and visibility integrations to expand enterprise contracts and shorten sales cycles.
- Improved Business Capacity Owner (BCO) Retention and Recruitment: Improvements in BCO retention rates and carrier recruitment are expected to stabilize the operational environment, contributing to sustained profitability and growth. Landstar has reduced the time it takes to become a BCO while maintaining qualification standards and plans to implement a redesigned BCO onboarding and training program.
- Recovery in Overall Freight Market Volumes and Specialized Price-Mix Improvement: Analysts and management anticipate modest revenue growth as freight volumes recover and the specialized price-mix improves over the medium term. While the company has faced lower truckload trends recently, the consensus points to a gradual recovery into 2025-2026.
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Share Repurchases
- In fiscal year 2025, Landstar repurchased 1,281,863 shares of its Common Stock at a total cost of $180.9 million.
- Annual share repurchases were $81.4 million in 2024.
- Annual share repurchases were $53.919 million in 2023.
Share Issuance
- Share issuance has been minimal, with common stock issued amounting to $0.03 million in 2023, $0.07 million in 2022, and $0.16 million in 2021.
Outbound Investments
- No significant strategic outbound investments in other companies or acquisitions were identified in the last 3-5 years, with "Payments for Business Acquisitions" recorded as '-' for fiscal years 2021 through 2025.
- Landstar plans to market its Mexican subsidiary, Landstar Metro, for sale in fiscal year 2026.
Capital Expenditures
- Capital expenditures were approximately $31 million in 2024, $25.69 million in 2023, and $26.01 million in 2022.
- For fiscal year 2026, Landstar anticipates acquiring approximately $104 million in new trailing equipment and investing $12 million in information technology.
- Since 2016, the company has invested approximately $220 million in digital transformation, focusing on technology and AI.
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 205.69 |
| Mkt Cap | 9.3 |
| Rev LTM | 6,583 |
| Op Inc LTM | 313 |
| FCF LTM | 247 |
| FCF 3Y Avg | 1 |
| CFO LTM | 969 |
| CFO 3Y Avg | 823 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 0.7% |
| Rev Chg 3Y Avg | -1.3% |
| Rev Chg Q | 1.5% |
| QoQ Delta Rev Chg LTM | 0.4% |
| Op Inc Chg LTM | -9.7% |
| Op Inc Chg 3Y Avg | -12.2% |
| Op Mgn LTM | 4.3% |
| Op Mgn 3Y Avg | 5.1% |
| QoQ Delta Op Mgn LTM | -0.2% |
| CFO/Rev LTM | 18.3% |
| CFO/Rev 3Y Avg | 16.2% |
| FCF/Rev LTM | 4.7% |
| FCF/Rev 3Y Avg | -0.1% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 9.3 |
| P/S | 1.4 |
| P/Op Inc | 39.2 |
| P/EBIT | 39.0 |
| P/E | 55.9 |
| P/CFO | 10.4 |
| Total Yield | 2.2% |
| Dividend Yield | 0.8% |
| FCF Yield 3Y Avg | 0.5% |
| D/E | 0.1 |
| Net D/E | 0.1 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 21.3% |
| 3M Rtn | 54.7% |
| 6M Rtn | 46.2% |
| 12M Rtn | 76.1% |
| 3Y Rtn | 48.9% |
| 1M Excs Rtn | 27.3% |
| 3M Excs Rtn | 42.6% |
| 6M Excs Rtn | 37.0% |
| 12M Excs Rtn | 53.6% |
| 3Y Excs Rtn | -26.5% |
Comparison Analyses
Segment Financials
Revenue by Segment| $ Mil | 2025 | 2024 | 2023 | 2022 | 2021 |
|---|---|---|---|---|---|
| Transportation Logistics | 4,685 | 4,756 | 5,231 | 7,358 | 6,466 |
| Insurance | 116 | 121 | 140 | 79 | 72 |
| Internal revenue | -58 | -57 | -68 | ||
| Total | 4,744 | 4,819 | 5,303 | 7,437 | 6,538 |
| $ Mil | 2025 | 2024 | 2023 | 2022 | 2021 |
|---|---|---|---|---|---|
| Transportation Logistics | 148 | 206 | 289 | 524 | 464 |
| Insurance | 4 | 43 | 56 | 47 | 41 |
| Total | 152 | 249 | 344 | 571 | 506 |
| $ Mil | 2023 | 2022 | 2021 | 2020 | 2019 |
|---|---|---|---|---|---|
| Transportation Logistics | 1,463 | 1,705 | 1,737 | 1,302 | 1,169 |
| Insurance | 339 | 227 | 309 | 352 | 259 |
| Total | 1,802 | 1,932 | 2,045 | 1,654 | 1,428 |
Price Behavior
| Market Price | $224.27 | |
| Market Cap ($ Bil) | 7.6 | |
| First Trading Date | 03/05/1993 | |
| Distance from 52W High | -0.5% | |
| 50 Days | 200 Days | |
| DMA Price | $187.42 | $151.08 |
| DMA Trend | up | up |
| Distance from DMA | 19.7% | 48.4% |
| 3M | 1YR | |
| Volatility | 27.7% | 34.8% |
| Downside Capture | -68.93 | 60.05 |
| Upside Capture | 104.93 | 104.48 |
| Correlation (SPY) | 18.4% | 31.8% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | -0.27 | -0.17 | 0.46 | 0.84 | 0.91 | 0.76 |
| Up Beta | 1.41 | 0.48 | 0.58 | 0.36 | 0.76 | 0.79 |
| Down Beta | -4.33 | -3.28 | 0.67 | 1.70 | 1.28 | 0.65 |
| Up Capture | 103% | 78% | 76% | 134% | 97% | 47% |
| Bmk +ve Days | 13 | 28 | 36 | 67 | 141 | 432 |
| Stock +ve Days | 13 | 27 | 39 | 74 | 132 | 361 |
| Down Capture | -139% | -236% | -18% | 22% | 73% | 95% |
| Bmk -ve Days | 7 | 13 | 27 | 57 | 109 | 318 |
| Stock -ve Days | 7 | 14 | 24 | 49 | 116 | 387 |
[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 LSTR | |
|---|---|---|---|---|
| LSTR | 65.1% | 34.7% | 1.50 | - |
| Sector ETF (XLI) | 23.9% | 16.2% | 1.14 | 40.6% |
| Equity (SPY) | 24.9% | 12.3% | 1.52 | 31.5% |
| Gold (GLD) | 25.5% | 27.4% | 0.81 | 9.1% |
| Commodities (DBC) | 30.1% | 19.0% | 1.25 | -7.6% |
| Real Estate (VNQ) | 13.5% | 13.5% | 0.69 | 24.7% |
| Bitcoin (BTCUSD) | -41.7% | 42.2% | -1.16 | 12.1% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with LSTR | |
|---|---|---|---|---|
| LSTR | 9.0% | 27.7% | 0.32 | - |
| Sector ETF (XLI) | 12.7% | 17.5% | 0.56 | 56.3% |
| Equity (SPY) | 13.5% | 17.1% | 0.61 | 48.5% |
| Gold (GLD) | 16.8% | 18.2% | 0.75 | 4.1% |
| Commodities (DBC) | 8.4% | 19.4% | 0.33 | 7.5% |
| Real Estate (VNQ) | 2.8% | 18.8% | 0.05 | 41.5% |
| Bitcoin (BTCUSD) | 13.6% | 54.4% | 0.44 | 15.9% |
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 LSTR | |
|---|---|---|---|---|
| LSTR | 14.7% | 27.4% | 0.54 | - |
| Sector ETF (XLI) | 14.1% | 20.0% | 0.62 | 61.2% |
| Equity (SPY) | 15.3% | 17.9% | 0.73 | 55.4% |
| Gold (GLD) | 12.5% | 16.1% | 0.64 | 1.5% |
| Commodities (DBC) | 6.7% | 18.0% | 0.29 | 16.1% |
| Real Estate (VNQ) | 5.7% | 20.7% | 0.24 | 44.1% |
| Bitcoin (BTCUSD) | 60.3% | 66.8% | 1.00 | 9.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Updated 6/3/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 4/28/2026 | 1.2% | -1.1% | 11.8% |
| 1/28/2026 | -2.3% | 5.2% | 6.4% |
| 10/28/2025 | -3.8% | -1.1% | 1.3% |
| 7/29/2025 | -3.3% | -5.4% | -3.2% |
| 5/13/2025 | -2.5% | 0.3% | -2.7% |
| 1/29/2025 | -3.5% | -6.3% | -8.0% |
| 10/29/2024 | -1.9% | 0.1% | 3.4% |
| 7/30/2024 | -1.9% | -2.4% | -5.8% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 9 | 11 | 15 |
| # Negative | 15 | 13 | 9 |
| Median Positive | 2.6% | 2.9% | 4.4% |
| Median Negative | -2.3% | -1.4% | -3.2% |
| Max Positive | 3.8% | 6.9% | 15.0% |
| Max Negative | -4.0% | -6.3% | -8.6% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 04/29/2026 | 10-Q |
| 12/31/2025 | 02/24/2026 | 10-K |
| 09/30/2025 | 10/28/2025 | 10-Q |
| 06/30/2025 | 07/29/2025 | 10-Q |
| 03/31/2025 | 05/13/2025 | 10-Q |
| 12/31/2024 | 02/24/2025 | 10-K |
| 09/30/2024 | 10/30/2024 | 10-Q |
| 06/30/2024 | 07/31/2024 | 10-Q |
| 03/31/2024 | 05/03/2024 | 10-Q |
| 12/31/2023 | 02/26/2024 | 10-K |
| 09/30/2023 | 11/03/2023 | 10-Q |
| 06/30/2023 | 08/04/2023 | 10-Q |
| 03/31/2023 | 05/05/2023 | 10-Q |
| 12/31/2022 | 02/24/2023 | 10-K |
| 09/30/2022 | 10/28/2022 | 10-Q |
| 06/30/2022 | 07/29/2022 | 10-Q |
Recent Forward Guidance
Updated 6/1/2026Latest: Q1 2026 Earnings Reported 4/28/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q2 2026 Dividends | 0.4 | 0.0% | Same New | Actual: 0.4 for Q1 2026 | |||
Insider Activity
Updated 6/8/2026| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Murphy, Diana M | Direct | Sell | 6082026 | 221.28 | 11,246 | 2,488,525 | 4,171,809 | Form |
Industry Resources
| Industrials Resources |
| IndustryWeek |
| Manufacturing.net |
| Aviation Week |
| Cargo Ground Transportation Resources |
| Transport Topics |
| Commercial Carrier Journal (CCJ) |
| FreightWaves |
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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