Bullish case
$70 to $80
More likely if M&A advisory revenue recovers strongly, restructuring activity remains elevated, Asset Management AUM grows, operating margins expand past 15%, and the market rewards LAZ with a 18-20x forward P/E multiple.
Lazard, Inc. research snapshot
LAZ AI stock analysis currently reads Lazard as a top-tier independent financial advisory and asset management firm with a 175-plus-year brand, blue-chip M&A and restructuring mandates, and a growing asset management business. At the July 12, 2026 data cutoff, LAZ closed near $41.41 after a volatile year, with market capitalization around $4.08 billion. The analysis supports scenario-based research rather than a certain price prediction because M&A advisory revenue, restructuring activity, asset management AUM flows, interest rates, and competitive pressure can all move the outcome. This page is for informational use only and is not investment advice.
Current price
$41.41
Market cap
$4.08 billion
AI score
65 / 100
Rating
Established financial advisory franchise, but M&A cycle sensitivity and asset management fee pressure limit near-term visibility
Trend status
Price near the lower end of the 52-week range with mixed technical indicators and below-key moving averages
Data cutoff (updated weekly)
July 12, 2026
Informational use only. This page is not investment advice.
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Lazard operates two segments: Financial Advisory (M&A, restructuring, capital raising, and strategic advice) and Asset Management (equity, fixed income, alternative, and private equity across global markets). Both segments benefit from the Lazard brand and client relationships built over 175 years. | High |
| Moat | The moat is rooted in brand reputation, senior banker relationships, cross-border expertise, and a deep restructuring practice. Switching costs exist for complex advisory mandates, but price competition from Evercore, PJT, Moelis, and large banks narrows the moat in standardized work. | Medium |
| Management | CEO Peter R. Orszag (since 2023) has focused on talent retention, operational efficiency, and Asset Management growth. Key-person risk is real in advisory, but managing director retention programs help. Capital allocation includes a meaningful dividend and opportunistic buybacks. | Medium |
| Financial trend | Q1 2026 revenue was $672.98 million with net income of $46.62 million, reflecting mixed M&A conditions. TTM revenue is ~$3.2 billion. Profit margin of 8.67% and ROE of 34.35% show reasonable earnings power, but leverage (debt/equity 240.85%) adds financial risk. | High |
| Valuation | At 16.43x TTM EPS, 14.33x forward EPS, 4.83% dividend yield, and 1.36x P/S, LAZ trades at a discount to advisory peers like Evercore and PJT. The discount reflects higher leverage, lower growth, and the asset management margin headwind. | Medium |
| Technical trend | Price at $41.41 is near the lower end of the 52-week range ($38.67 to $58.75). Key moving averages and momentum indicators are soft. Support near $38.67 and resistance near $48 to $50 are the main levels. | Medium |
| Risk level | Key risks are M&A fee revenue cyclicality, restructuring normalization reducing counter-cyclical revenue, asset management fee margin pressure from passive investing, high debt-to-equity, key-personnel departures, and market-wide capital markets slowdown. | High |
| AI confidence | High for historical financials, balance sheet items, market cap, technical levels, and dividend math. Lower for forward returns because M&A cycles, capital markets activity, and asset management flows are inherently uncertain. | High data confidence |
| Investment certainty | Lazard is a quality franchise with cycle risk. Investment certainty is medium-low at this price because the current valuation is cheap on dividends but not obviously cheap on earnings power that depends on M&A and capital markets recovery. | Medium-low |
LAZ AI stock forecast
The LAZ AI stock forecast should be read as scenario math, not a promise. Using a July 10, 2026 close near $41.41, TTM EPS near $2.52, and a three-year framework, the tested range spans a bearish area near $30, a base area near $51, and a bullish area near $77 before dividends. These outputs depend on M&A cycle recovery, EPS growth, asset management flows, and the terminal earnings multiple.
$70 to $80
More likely if M&A advisory revenue recovers strongly, restructuring activity remains elevated, Asset Management AUM grows, operating margins expand past 15%, and the market rewards LAZ with a 18-20x forward P/E multiple.
$48 to $55
More likely if Lazard grows EPS at a mid-single-digit rate, M&A advisory stabilizes, Asset Management fees grow modestly with AUM, and the stock trades near a 14-16x forward P/E, supported by the 4.8% dividend yield.
$28 to $32
More likely if M&A activity remains depressed, restructuring revenue normalizes downward, Asset Management sees net outflows, margins stay compressed, and the multiple contracts toward 10-12x earnings.
LAZ AI technical analysis
LAZ AI technical analysis reflects a stock that has been trending down from its 52-week high of $58.75 and is now testing the low $40s near the 52-week low of $38.67. As of the July 10, 2026 close at $41.41, the price sits below both its 50-day and 200-day moving averages, indicating a bearish trend setup. Volume is somewhat below the 2-million-share average, and beta of 1.42 means the stock moves more than the market in either direction.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $41.41 | Yahoo Finance showed the July 10, 2026 close at $41.41, near the low end of the 52-week range. |
| 52-week low support | $38.67 | The 52-week low from Yahoo Finance. A break below this level would be a significant bearish signal. |
| Round-number support | $38 to $40 | Psychological support zone ahead of the 52-week low. Watch for buying interest near these levels. |
| Near resistance | $44 to $46 | The area just above the current price where the stock has previously stalled. |
| Upper resistance | $50 to $52 | A key resistance zone near the $50 psychological level and analyst average target of $49.62. |
| 52-week high | $58.75 | The 52-week high. A recovery above this level would require a material improvement in M&A and capital markets conditions. |
| 50-day SMA | ~$45.50 | Estimated 50-day moving average. Price is meaningfully below this level, confirming near-term bearish momentum. |
| 200-day SMA | ~$49.00 | Estimated 200-day moving average. A close above this level would be needed to shift the trend to neutral. |
| Momentum | RSI ~42 | Approximate RSI below 50, indicating bearish but not oversold momentum. |
| Volatility | Beta 1.42 | Beta of 1.42 means LAZ is roughly 42% more volatile than the S&P 500. Position sizing should account for multi-dollar daily swings. |
| Invalidation | Close below $38 | A decisive close below the $38.67 52-week low would invalidate any mean-reversion setup and suggest a new leg lower. |
LAZ AI trading strategy
The LAZ AI trading strategy below is a research and risk-control framework, not personalized advice. It combines business cycle evidence, technical confirmation, and predefined invalidation levels.
Watch for LAZ to break and hold above the 200-day moving average (~$49) on expanding volume, ideally supported by improving M&A backlog commentary from management or a recovery in capital markets activity.
A failed breakout or reversal back below the $45 level should invalidate the setup. Avoid chasing short-term momentum without trend confirmation.
If LAZ pulls back toward the $38.67 to $40 zone without breaking the 52-week low, the 4.83% dividend yield provides a floor for patient holders. Compare price action with M&A recovery signals, restructuring pipeline, and asset management AUM trends.
If the stock closes decisively below $38, the yield support thesis is broken. Reduce exposure and wait for a lower base to form.
Track Lazard quarterly revenue by segment, M&A advisory backlog, restructuring mandates, Asset Management AUM and net flows, operating margin trajectory, debt levels, and dividend coverage ratio.
Reduce confidence if M&A advisory revenue declines for three consecutive quarters, Asset Management margins fall below 20%, or net debt rises relative to EBITDA.
Investment research summary
Lazard sells independent, high-stakes financial advice and asset management to corporations, governments, and institutions. Clients pay for the Lazard brand, senior banker expertise, cross-border reach, and restructuring credibility during distressed times.
The moat comes from the Lazard brand (founded 1848), senior banker relationships, restructuring market leadership, and a global network across 40+ cities. The moat is durable in complex advisory work but narrows in commoditized capital raising and asset management, where passive funds and price competition pressure fees.
The thesis fails if M&A activity stays structurally lower due to antitrust policy or economic uncertainty, restructuring revenue normalizes, top bankers leave for competitors, asset management AUM erodes from passive outflows, or the high debt-to-equity ratio becomes unmanageable in a prolonged downturn.
CEO Peter Orszag, a former OMB director and Citi executive, took the helm in 2023 to modernize operations, retain talent, and grow Asset Management. Capital allocation includes a well-covered dividend and tactical buybacks. Key-person risk is inherent in advisory, and managing director retention is critical.
Lazard sits at the intersection of M&A advisory, restructuring, and asset management. The secular shift toward index investing pressures asset management fees. M&A is cyclical. Restructuring is counter-cyclical. AI and data analytics are reshaping financial analysis, but Lazard advisor relationships remain a human capital business.
At roughly $41.41 and $4.08 billion of market value, LAZ trades at 16.43x TTM earnings and 14.33x forward earnings with a 4.83% dividend yield. The valuation implies the market expects stagnant to slightly declining earnings. Margin of safety depends on M&A cycle recovery, and the dividend provides a partial floor.
Source-backed data
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| LAZ price | $41.41 close on July 10, 2026 | Yahoo Finance | July 12, 2026 |
| Market capitalization | $4.08 billion, verified as $41.41 x ~98.5 million shares | Yahoo Finance and financial_rigor.py | July 12, 2026 |
| Shares outstanding | ~98.5 million diluted shares | Yahoo Finance key statistics | July 12, 2026 |
| TTM revenue | $3.2 billion | Yahoo Finance financials | July 12, 2026 |
| Q1 2026 revenue and net income | $672.98 million revenue, $46.62 million net income | Yahoo Finance earnings | July 12, 2026 |
| TTM net income | $269.93 million, profit margin 8.67% | Yahoo Finance key statistics | July 12, 2026 |
| TTM EPS | $2.52, forward EPS ~$2.89 | Yahoo Finance statistics | July 12, 2026 |
| PE ratio | 16.43x TTM, 14.33x forward | Yahoo Finance statistics | July 12, 2026 |
| Price/Book and Price/Sales | P/B 4.63x, P/S 1.36x | Yahoo Finance statistics | July 12, 2026 |
| Dividend and yield | $2.00 annual dividend per share, 4.83% yield | Yahoo Finance statistics | July 12, 2026 |
| Cash and debt | $1.03 billion cash, debt/equity 240.85% | Yahoo Finance key statistics | July 12, 2026 |
| Enterprise value | $5.01 billion, EV/Revenue 1.54x, EV/EBITDA 10.32x | Yahoo Finance statistics | July 12, 2026 |
| ROE and profit margin | Return on Equity 34.35%, Profit Margin 8.67% | Yahoo Finance statistics | July 12, 2026 |
| 52-week range | $38.67 to $58.75 | Yahoo Finance quote summary | July 12, 2026 |
| Analyst consensus | Average target $49.62, range $40.00 to $62.00 | Yahoo Finance analyst insights | July 12, 2026 |
| Scenario valuation | Three-year framework: bear near $30, base near $51, bull near $77 | financial_rigor.py three-scenario calculation | July 12, 2026 |
This LAZ AI stock analysis page is an informational research tool only and is not investment advice, a recommendation, or a personalized trading plan. Forecast scenarios are based on available public data as of the stated cutoff date, may be wrong, and should be checked against current filings, market data, and your own risk constraints.
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