Bullish case
$50.00 to $62.60
More likely if enrollment growth accelerates, Mexico and Peru operations scale efficiently, US segment performs well, margins expand from operating leverage, and the market rewards the stock with a higher multiple.
Laureate Education, Inc. research snapshot
LAUR AI Stock Analysis
LAUR AI stock analysis reads Laureate Education, Inc. as a focused for-profit higher education provider operating in Mexico, Peru, and the United States. At the July 10, 2026 data cutoff, the quoted price was $40.46 near its 52-week high, market capitalization was about $5.66 billion, and the core question was whether enrollment growth and margin expansion can sustain the current valuation multiple. This page uses scenario analysis, not a certain price prediction, and it is informational research rather than investment advice.
Current price
$40.46
Market cap
$5.66 billion
AI score
58 / 100
Rating
Quality for-profit education operator at fair value
Trend status
Strong uptrend near 52-week high with positive momentum
Data cutoff (updated weekly)
July 10, 2026
Informational use only. This page is not investment advice.
Research quality check
- information Richness
- B-level information richness. LAUR has SEC filings, company earnings releases, sell-side analyst reports from JP Morgan and Argus, and liquid trading data. Third-party financial database coverage is adequate but thinner than mega-cap names.
- bias Check
- Downside bias risk exists because for-profit education carries regulatory and reputational stigma that can suppress multiples even when operating performance is solid. The analysis separates financial data quality from subjective discount applied to the sector.
- ai Confidence
- Medium-high data confidence
- investment Certainty
- Medium. The business model generates strong free cash flow and has shown consistent enrollment growth. The main uncertainty is regulatory risk in Mexico and the US and whether the current PE multiple around 21.6x TTM is sustainable for a for-profit education company.
Quick verdict table
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Laureate operates degree-granting universities and technical-vocational institutions in Mexico, Peru, and the US. The model is tuition-driven with high operating leverage and strong enrollment trends. | Medium-high |
| Moat | Moat is mainly regulatory. Operating universities requires government accreditation, licensing, and institutional recognition. Brand recognition in local markets and geographic diversification add some protection, but barriers are moderate. | Medium |
| Management | Management has navigated a complex restructuring from 60+ institutions to a focused portfolio. Capital allocation discipline is demonstrated by debt reduction and share buybacks. | Medium-high |
| Financial trend | TTM revenue of $1.74 billion with TTM net income of $280 million and levered free cash flow of $330 million. Q1 fiscal 2026 showed a seasonal loss of $21.6 million, typical for the education calendar. | High |
| Valuation | The stock trades at 21.6x TTM EPS and forward P/E of 16.6x. Price-to-book of 5.4x reflects the intangible-heavy balance sheet. EV/EBITDA of 12.0x is moderate for the cash generation profile. | High for math, medium for forward value |
| Technical trend | The stock is near its 52-week high of $40.65, up about 70% over the past year. The trend is clearly positive but extended, increasing the chance of consolidation. | Medium |
| Risk level | Risk is medium. Regulatory risk (especially in Mexico and US), enrollment sensitivity to economic conditions, student loan policy changes, and concentration in Latin America are the main risks. | Medium-high |
| AI confidence | High confidence on filings, market data, and financial metrics. Lower confidence on regulatory trajectory and multiple expansion potential for the for-profit education sector. | Medium-high data confidence |
| Investment certainty | Medium certainty. The page supports research screening but does not justify a buy or sell action without live chart review, updated filings, and regulatory monitoring. | Medium |
LAUR AI stock forecast
LAUR AI Stock Forecast Scenarios
The LAUR AI stock forecast uses scenario ranges around the $40.46 quote. The bullish case requires sustained enrollment growth, margin expansion from operating leverage, and multiple stability. The base case assumes moderate growth in line with historical trends. The bearish case assumes regulatory headwinds or enrollment pressure compress both earnings and valuation.
Base case
$36.00 to $46.00
More likely if the company delivers 5-8% annual EPS growth driven by steady enrollment and modest margin improvement, and the stock trades near its current PE range of 18-22x earnings.
Bearish case
$22.00 to $30.00
More likely if regulatory changes in Mexico or the US pressure enrollments, economic downturns reduce student demand, or margin compression leads to earnings disappointment and multiple contraction toward 14x PE.
LAUR AI technical analysis
LAUR AI Technical Analysis
LAUR AI technical analysis starts from the $40.46 quote and the $21.53 to $40.65 52-week range as of the July 10, 2026 cutoff. Because this static page does not fetch request-time chart data, moving averages, live RSI, and current volume should be confirmed in a charting tool before use.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $40.46 | Quote used for this page as of the July 10, 2026 data cutoff. |
| Near support | $36.00 to $38.00 | The $38 zone was prior resistance and may act as support. The $36 level represents a potential pullback zone from the recent uptrend. |
| Near resistance | $40.65 to $43.00 | The $40.65 level is the 52-week high. A decisive breakout above this level with volume would confirm trend continuation. |
| 50-day moving average | Requires live chart confirmation | The stock has been trending strongly, so the 50-day MA likely sits well below the current price. Check a live chart for exact levels. |
| 200-day moving average | Requires live chart confirmation | Long-term trend confirmation should be checked against a live chart or broker data before trading. |
| Momentum | Strong positive | The stock is near its 52-week high after a 70% one-year return. Momentum is clearly positive, though extended. |
| Volume | 594,000 recent session | Recent volume was below the 1.3 million average, suggesting the recent advance has not attracted heavy distribution. |
| Volatility | Moderate | Beta of 0.46 suggests low relative volatility, but education sector headlines and earnings events can create sharp moves. |
| Invalidation | Close below $36.00 | A decisive close below $36 would break the short-term uptrend and suggest a deeper correction is underway. |
LAUR AI trading strategy
LAUR AI Trading Strategy Framework
The LAUR AI trading strategy is a rules-based research framework for a for-profit education operator in a confirmed uptrend. It is not personalized advice. Any setup should be paired with position sizing, stop levels, and fresh checks of filings, regulatory news, and live price action.
Trend-following setup
Consider LAUR on pullbacks toward support zones if the uptrend structure (higher highs and higher lows on a weekly chart) remains intact. Wait for price to hold above $38 and reclaim the 50-day moving average before entry.
A close below $36 or a break of the 200-day moving average should invalidate the trend-following setup.
Breakout setup
If LAUR breaks above $40.65 with above-average volume and positive sector or macro backdrop, the next resistance zone to watch is $43-$45. Confirmation includes sustained buying volume.
A failed breakout that closes back below $38 within several sessions suggests a false breakout. Define a maximum loss before entry.
Fundamental monitor
Track the evidence that matters most for Laureate: enrollment numbers by country, operating margins, free cash flow conversion, debt levels, and any regulatory developments in Mexico or Peru.
Reduce confidence when price strength is driven by sector rotation or short-covering without matching operating data.
Investment research summary
Four-master Research Compression
Business essence
Customers (students) pay Laureate for accredited higher education degrees and vocational training that improve employment prospects. The company operates campus-based and hybrid programs in Mexico, Peru, and the US.
Moat
The main competitive advantage is regulatory. University accreditation and government licenses create significant barriers to entry. Local brand recognition and established campus infrastructure add to the moat, but it is not as wide as technology or consumer brand moats.
Munger risk inversion
The thesis can fail if regulatory changes in Mexico restrict for-profit education, US Department of Education policy shifts against the sector, enrollment drops during economic recovery as alternative employment options improve, or currency fluctuations in Latin America pressure reported earnings.
Management
Management completed a major restructuring from over 60 institutions to a focused portfolio. The team has demonstrated capital allocation discipline through debt reduction, share buybacks, and operational focus on core markets.
Industry trend
Higher education demand remains structurally supported by the skill premium in labor markets. Latin America has growing middle-class demand for quality education. The for-profit segment faces ongoing regulatory scrutiny but serves an important role where public capacity is insufficient.
Valuation and margin of safety
At 21.6x TTM PE and 16.6x forward PE, LAUR trades at a moderate premium to historical for-profit education multiples. The free cash flow yield of about 5.8% provides some margin of safety, but the valuation assumes no adverse regulatory developments.
Source-backed data
LAUR Data Table
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| LAUR price | $40.46 | Yahoo Finance LAUR quote | July 10, 2026 |
| Market capitalization | $5.66 billion, verified as $40.46 x 139.98M shares | financial_rigor.py market cap verification | July 10, 2026 |
| Share count | 139.98M basic shares outstanding from AlphaQuery | AlphaQuery balance sheet data | July 10, 2026 |
| TTM revenue | $1.74 billion | Yahoo Finance key statistics | July 10, 2026 |
| TTM net income | $279.78 million | Yahoo Finance statistics | July 10, 2026 |
| Q1 2026 revenue (ended Mar 2026) | $272.61 million | AlphaQuery income statement | July 10, 2026 |
| Q1 2026 net income (ended Mar 2026) | -$21.59 million (seasonal loss) | AlphaQuery income statement | July 10, 2026 |
| EPS (TTM) | $1.87 | Yahoo Finance statistics | July 10, 2026 |
| Levered free cash flow (TTM) | $330.26 million | Yahoo Finance statistics | July 10, 2026 |
| Cash and equivalents | $157.35 million | Yahoo Finance balance sheet | July 10, 2026 |
| Long-term debt | $160.72 million | AlphaQuery balance sheet | July 10, 2026 |
| Total assets | $2.28 billion | AlphaQuery balance sheet | July 10, 2026 |
| Enterprise value | $6.23 billion | Yahoo Finance statistics | July 10, 2026 |
| Scenario valuation | Bull $62.60, base $42.40, bear $26.20 from three-year EPS and P/E scenario model with 15%, 8%, and 0% EPS growth and 22x, 18x, 14x terminal PE | financial_rigor.py three-scenario calculation | July 10, 2026 |
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This LAUR 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 10, 2026, may be incomplete, and can be wrong if new filings, market prices, company events, regulatory changes, or macro conditions shift.
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