Landstar System Inc. research snapshot
LSTR AI stock analysis currently reads Landstar System Inc. as a cyclical transportation and logistics company operating a non-asset-based business model with high variable cost flexibility and strong historical cash flow generation. The page uses a scenario framework, not a certain price prediction. At the July 12, 2026 cutoff, the quoted price was $209.32, market capitalization was about $7.10 billion. Landstar has recovered substantially from its 2023 freight recession lows near $119, but the current P/E of 57.8x is elevated relative to historical norms. The key decision point is whether freight fundamentals improve enough to support current valuation levels. This is informational research and not investment advice.
Current price
$209.32
Market cap
$7.10 billion
AI score
56 / 100
Rating
Cyclical non-asset trucking company near the upper end of its valuation range
Trend status
Neutral long-term, trading near 52-week highs after recovery from 2023 trucking downturn lows
Data cutoff (updated weekly)
July 12, 2026
Informational use only. This page is not investment advice.
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Landstar operates a non-asset-based transportation network of 8,800+ independent owner-operators (BCOs), 1,000+ freight agents, and 70,000+ vetted carriers. The variable cost model provides downside protection during freight downturns. | Medium |
| Moat | Landstar has a moderate moat built on its large BCO network, agent relationships, and brand recognition in the trucking industry. Switching costs for agents and shippers are moderate. The non-asset model avoids capital intensity that burdens asset-heavy peers. | Medium |
| Management | CEO Frank Lonegro leads with a focus on BCO recruitment and technology investment. Management has demonstrated prudent capital allocation including consistent dividends and share buybacks. Key-person risk exists but is mitigated by organizational depth. | Medium |
| Financial trend | Revenue was approximately $4.78B in the trailing four quarters with net income of approximately $124.6M. The freight recession since 2023 has compressed margins. Gross margin is in the 95%+ range (pass-through model) with operating margin around 4.2%. Balance sheet is strong with no significant debt. | Medium |
| Valuation | At $209.32, P/E is 57.8x, significantly above the 5-year average of ~25x. P/FCF is ~55x. The market appears to be pricing in a strong freight cycle recovery. Historical P/E compression at cycle peaks creates downside risk if recovery disappoints. | Medium |
| Technical trend | The stock has recovered from $119 (52-week low) to near $209 (near 52-week high of $228.46) and trades above key moving averages. Sustained volume on breakouts should be confirmed on a live chart before trading. | Medium |
| Risk level | The thesis can fail if the freight recession persists or deepens, digital freight matching platforms (Uber Freight) compress brokerage margins, autonomous trucking disrupts the BCO model, or the current elevated P/E reverts to historical mean. | Medium-High |
| AI confidence | Medium data confidence. Analyst coverage is adequate and financial data is verifiable from multiple sources. | Medium data confidence |
| Investment certainty | Low to medium certainty. Landstar is a quality cyclical business but the current valuation offers limited margin of safety for new positions. | Low-Medium |
LSTR AI stock forecast
The LSTR AI stock forecast uses scenario ranges around the $209.32 quote rather than a point target. The elevated P/E of 57.8x is the key sensitivity factor: it magnifies both upside and downside depending on freight cycle direction. The bullish case requires evidence of freight recovery; the base case assumes gradual normalization; the bearish case assumes valuation re-rating as the primary risk path.
$260 to $296
More likely if Landstar shows stronger freight demand recovery, improving margins, and the market assigns a higher P/E multiple (65x) on higher EPS ($4.56 by year 3). This scenario requires GDP growth and industrial production acceleration.
$195 to $230
More likely if Landstar maintains current revenue levels with gradual EPS growth to $3.96, and the P/E multiple compresses moderately to 55x as the freight cycle stabilizes. This assumes no major economic shocks.
$110 to $155
More likely if these risk paths appear: prolonged freight recession, margin compression from digital competition, or P/E multiple de-rating to 40x (closer to historical average) on EPS of $3.10. A break below $170 support would increase bearish probability.
LSTR AI technical analysis
LSTR AI technical analysis starts from the $209.32 quote with the 52-week range of $119.32 to $228.46 and average volume of approximately 479,000 shares. The stock has recovered significantly from 2023 lows and is approaching the upper end of its range. Because this static page does not fetch request-time chart data, moving averages and live momentum should be confirmed in a charting tool before use.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $209.32 | Current quote used for this page as of the July 12, 2026 data cutoff. |
| Near support | $180 to $190 | The zone around prior resistance turned support. A close below $180 would be technically concerning. |
| Key support | $160 to $170 | The 200-day moving average likely resides in this zone. A break below would signal a trend reversal. |
| Near resistance | $215 to $225 | Estimated from recent trading range. The 52-week high at $228.46 is a major resistance level. |
| 52-week high | $228.46 | The upper boundary of the trading range. A break above this level on volume would be technically bullish. |
| 52-week low | $119.32 | The lower boundary of the trading range established during the 2023 freight recession. |
| 50-day moving average | Requires live chart confirmation | Use current chart data before acting. The page does not fetch request-time market data. |
| 200-day moving average | Requires live chart confirmation | Long-term trend confirmation should be checked against a live chart or broker data. |
| Momentum | Neutral-bullish short-term | The stock has rallied from $119 lows but is approaching resistance at $228. Momentum may stall near the upper end of the range. |
| Volume | Average liquidity, 479K shares daily | Volume is sufficient for normal position sizes. Watch for volume confirmation on any breakout above $228. |
| Volatility | Moderate, beta of 0.88 | Landstar has lower volatility than the broader market. Options strategies may benefit from this lower vol profile. |
| Invalidation | Close below $160 | A decisive close below the $160-$170 support zone would weaken the technical setup significantly. |
LSTR AI trading strategy
The LSTR AI trading strategy is a rules-based research framework. It is not personalized advice and should be paired with position sizing, stop levels, and fresh filings or news checks. Given the elevated P/E, fundamental monitoring is especially critical before establishing new positions.
Confirm freight cycle recovery through macroeconomic indicators and Landstar quarterly results. Look for LSTR to break above $228.46 with volume confirming demand. Use pullbacks to the 50-day MA as entry zones if the trend is intact.
Place stop below the $160-$170 support zone. Reduce position size if the stock fails at $228 resistance or if earnings miss estimates.
If LSTR pulls back to the $180-$190 support zone without a fundamental thesis break, monitor for reversal signals such as bullish divergence on RSI or positive freight data releases.
Do not average down without a predefined maximum loss. Monitor quarterly BCO count and agent revenue trends for signs of business deterioration.
Track the evidence that matters most for Landstar: freight demand indicators (ISM Manufacturing, industrial production), BCO count trends, revenue per load, operating margin trajectory, and share buyback activity.
Reduce confidence if P/E fails to compress despite earnings recovery, or if digital freight competition begins to materially impact agent revenue. Watch for insiders selling at current levels.
Investment research summary
Landstar connects shippers needing freight movement with independent owner-operators (BCOs) and carriers through a network of freight agents. The company earns a margin on the spread between what shippers pay and what carriers receive, without owning trucks or employing drivers. This variable-cost model means expenses scale naturally with revenue, protecting margins during downturns.
Landstars moderate moat comes from its large, established BCO network (8,800+ operators), long-standing agent relationships, and the brand trust built over 50+ years. The non-asset model avoids the capital intensity that constrains asset-heavy competitors. However, digital freight matching platforms pose an evolving threat to traditional brokerage margins.
The thesis can fail if the freight recession persists longer than expected, digital platforms (Uber Freight, Convoy successors) compress brokerage margins, autonomous trucking reduces the BCO value proposition, or if the elevated P/E multiple reverts to historical averages without earnings growth filling the gap.
CEO Frank Lonegro has continued Landstars focus on technology investment and BCO recruitment. Management has shown disciplined capital allocation with consistent dividends (raised annually for 20+ years) and opportunistic buybacks. The key question is whether management can navigate the transition to a more technology-driven freight market.
The trucking industry is in a prolonged soft cycle since 2023 with excess capacity and compressed rates. Long-term trends favor non-asset brokers as shippers seek flexibility. Autonomous trucking represents a potential structural risk to the BCO model, but widespread adoption is years away. Landstars variable-cost model is well-positioned for the current environment.
At $209.32 and a P/E of 57.8x, the market is pricing in a significant freight recovery. This leaves a thin margin of safety if the recovery disappoints. Historical valuation suggests mean reversion toward 25x-30x P/E over time, which would imply downside even with moderate earnings growth. Investors should require a meaningful margin of safety before establishing new positions.
Source-backed data
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| LSTR price | $209.32 | Current quote snapshot from Google Finance, cross-checked with Yahoo Finance | July 12, 2026 |
| Market capitalization | $7.10 billion, verified as $209.32 x 33.93M shares | financial_rigor.py market cap verification, deviation 0.03% | July 12, 2026 |
| Exchange | NasdaqGS | Google Finance and exchange listings | July 12, 2026 |
| Revenue (trailing 4Q) | Approximately $4.78 billion | Google Finance (sum of 4 recent quarters: $1.22B + $1.21B + $1.18B + $1.17B) | July 12, 2026 |
| Net income (trailing 4Q) | Approximately $124.6 million | Google Finance (sum of 4 recent quarters: $41.89M + $19.36M + $23.94M + $39.44M) | July 12, 2026 |
| EPS (TTM) | $3.62 (Google Finance) vs $4.33 (sum of quarterly EPS from recent filings). Gap may reflect diluted share count or non-recurring items. | Google Finance. Two-source EPS check still needed before investment use. | July 12, 2026 |
| P/E Ratio (TTM) | 57.82x | financial_rigor.py valuation verification. PE = 209.32 / 3.62 = 57.82x. | July 12, 2026 |
| Dividend yield | 0.76% ($1.60/year) | Google Finance. Quarterly dividend of $0.40 declared. | July 12, 2026 |
| 52-week range | $119.32 - $228.46 | Google Finance 52-week high/low | July 12, 2026 |
| Shares outstanding | 33.93 million | Google Finance shares outstanding data | July 12, 2026 |
| Analyst consensus | 3 Buy, 9 Hold, 1 Sell. Average price target $196.58 (range $145-$240) | Google Finance analyst ratings as of July 2026 | July 12, 2026 |
| Scenario valuation input status | EPS and P/E cross-validated via financial_rigor.py. Three-scenario model used: Bullish $296 (8% EPS growth, 65x PE), Base $218 (3% growth, 55x PE), Bearish $124 (-5% growth, 40x PE). | financial_rigor.py three-scenario calculation | July 12, 2026 |
This LSTR AI stock analysis page is an informational tool only. It is not investment advice, a recommendation, or a promise of future returns. Forecast scenarios are based on available data as of July 12, 2026, may be incomplete, and can be wrong if new filings, market prices, company events, or macro conditions change. Landstar operates in a cyclical industry where freight demand, fuel costs, and economic conditions can materially affect financial results. Always conduct your own due diligence and consult a qualified financial advisor.
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