Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$37.40
▼ $0.71 (-1.9%)
Market data updated: 09/27 02:42 AM
Fundamentals updated: 09/27/2026
News analyzed: 09/27/2026
Market Cap
$5.15B
Day Range
$37.29 - $38.43
52-Week Range
$24.98 - $40.93
Beta
—
Next Earnings
28.10.2026
Support
$35.05
Resistance
$40.92
+22.1% (1Y)
Strengths: 16/30 factors positiveRisk: Medium
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🟡 Mixed
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Operating margin stability
Operating margin is stable or improving over time
Quality
Biggest negative driver
Liquidity risk
Current ratio: 0.67
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 3 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 3
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
60
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
40
Quality
63
Value
50
Momentum
69
Risk
56
Sentiment
62
Fundamental
71
Institutional
0
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Everyone's writing about Laureate Education, Inc.. News trend score: 62. Reason: 6 of the last 20 articles are positive, versus 4 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
17
🎯 Conviction (vs. Emotion)
42
Psychology
20
Fundamentals
71
Technical
69
Valuation
50
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
The price rise has far outpaced the actual improvement in fundamental data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
+1%
Market Narrative
54
Fundamental Reality
42
Narrative Gap
+12
🧠 StockIQ Psychologist
The market behavior for LAUR suggests a tentative, conflicted psychological state—neither pure panic nor euphoria dominates, but cautious FOMO and anchoring near support (4.7%) hint at hesitation. The narrow narrative gap (2 points) implies perceptions align closely with fundamentals, yet negative momentum (-4.2% ROC) and elevated volume (1.38x) may signal profit-taking or defensive positioning. The absence of extreme states (e.g., herding, overconfidence) suggests traders are reactive rather than impulsive, possibly waiting for clarity. The key question: *Will traders break below support or consolidate near recent lows?*
Updated: 09/07/2026, 01:56 AM
What could change this?
👥 What the crowd believes
"Laureate Education Shares Fall After JPMorgan Downgrade"
"3 Small-Cap Stocks We Find Risky / 3 Hyped Up Stocks We Think Twice About / 3 Russell 2000 Stocks We Steer Clear Of / 1 Growth Stock with Explosive Upside and 2 We Question"
"TAL vs. LAUR: Which Stock Is the Better Value Option? / LAUR vs. UTI: Which Stock Is the Better Value Option?"
"Why Laureate Education (LAUR) Shares Are Sliding Today"
Signal classification confidence: Medium (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Edgar Lawrence Smith — 80/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 1/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among the methodologies, with some models seeing it as a compelling opportunity and others flagging significant red flags. The highest-scoring approaches—Charles Mackay’s crowd-behavior analysis, Samuel Armstrong Nelson’s cycle positioning, and Edgar Lawrence Smith’s long-term hold framework—all suggest it’s a relatively safe or favorable bet, with Mackay even noting no obvious signs of speculative mania. Conversely, the Graham-based models, particularly the Enterprising Investor variant, dismiss it outright, calling it statistically overpriced and lacking defensive qualities. Meanwhile, trend-followers like Jesse Livermore and efficiency skeptics like Bogle and Malkiel see little compelling edge, while Fisher and Loeb strike a cautious middle ground, acknowledging solid but unexceptional traits. The divergence highlights a tension between cyclical/behavioral optimism and fundamental or market-efficiency skepticism.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 80
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 77
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟢 70
The kind of quiet compounder a patient holder could actually stick with
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 67
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 57
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 56
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 53
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 48
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 42
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 41
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 38
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🔴 35
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 32
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 31
No real setup here — the discipline Schwager's wizards shared would say stay out
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 27
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 1
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Based on the last 287 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (7 bullish · 3 bearish · 2 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
A trading range after an advance, but still without clear (volume-based) confirmation of a distribution phase.
Low confidence
$35.05
Range Bottom
$40.92
Range Top
50
Trading Days in Range
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Gross Margin
28.3%
Operating Margin
25.3%
Net Margin
16.5%
EBITDA Margin
29.7%
ROE
23.7%
ROA
12.8%
ROIC
—
EPS
$1.91
Cash
$146.70M
Total Debt
$73.12M
Current Ratio
0.67
Debt/Equity
0.06
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 14.11.2023 | $0.700 |
| 13.11.2023 | $0.700 |
| 3.11.2022 | $0.680 |
| 2.11.2022 | $0.680 |
| 27.9.2022 | $0.830 |
| 26.9.2022 | $0.830 |
| 13.12.2021 | $0.580 |
| 12.12.2021 | $0.580 |
| 1.11.2021 | $7.010 |
| 31.10.2021 | $7.010 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$7.99
Tangible Book Value per Share (Tangible NAV)
$2.59
Sentiment based on basic keywords (not AI) — 6 positive, 10 neutral, 4 negative out of the last 20 articles.
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Laureate Education, Inc. (LAUR) currently has a StockIQ AI score of 60/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
LAUR currently scores 60/100 (Moderate) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
LAUR's technical score is 69/100, which currently reads as bullish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Operating margin is stable or improving over time; Calmar: 2.42 (3y annualized return 39.5% / max drawdown 16.3%); Return on equity (ROE): 23.7% — strong.
Based on the real signals StockIQ computed: Current ratio: 0.67; Earnings per share (EPS) growth: -1.6%; Net income growth: -5.0%.
Yes — LAUR has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 6 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Snow Ian Kendell | Open Market Sale | 2.9.2026 | 1,646,324 | -427,019 | $36.26 |
| Snow Ian Kendell | Open Market Sale | 2.9.2026 | 427,019 | -427,019 | $36.26 |
| Snow Ian Kendell | Open Market Sale | 1.9.2026 | 2,073,343 | -2,654 | $38.11 |
| Snow Ian Kendell | Open Market Sale | 1.9.2026 | 2,654 | -2,654 | $38.11 |
| Snow Ian Kendell | Open Market Sale | 31.8.2026 | 2,075,997 | -91,556 | $38.43 |
| Snow Ian Kendell | Open Market Sale | 31.8.2026 | 91,556 | -91,556 | $38.43 |
| MUNOZ GEORGE | Grant/Award from Employer | 30.6.2026 | 585 | +585 | $36.32 |
| MUNOZ GEORGE | Grant/Award from Employer | 30.6.2026 | 122,563 | +585 | $36.32 |
| Coulter Julian George | Grant/Award from Employer | 21.5.2026 | 3,252 | +3,252 | — |
| del Corro Pedro | Grant/Award from Employer | 21.5.2026 | 5,308 | +5,308 | — |
| Mair Barbara | Grant/Award from Employer | 21.5.2026 | 5,308 | +5,308 | — |
| DAVIS WILLIAM J | Grant/Award from Employer | 21.5.2026 | 5,308 | +5,308 | — |
| RODIN JUDITH | Grant/Award from Employer | 21.5.2026 | 361 | +361 | $32.97 |
| Snow Ian Kendell | Grant/Award from Employer | 21.5.2026 | 5,308 | +5,308 | — |
| de Macedo Aristides | Grant/Award from Employer | 21.5.2026 | 5,308 | +5,308 | — |
| Cohen Andrew B | Grant/Award from Employer | 21.5.2026 | 7,849 | +7,849 | — |
| MUNOZ GEORGE | Grant/Award from Employer | 21.5.2026 | 5,308 | +5,308 | — |
| RODIN JUDITH | Grant/Award from Employer | 21.5.2026 | 91,854 | +361 | $32.97 |
| DAVIS WILLIAM J | Grant/Award from Employer | 21.5.2026 | 17,152 | +5,308 | — |
| MUNOZ GEORGE | Grant/Award from Employer | 21.5.2026 | 121,978 | +5,308 | — |
| Snow Phipps Group (Offshore), L.P. | Grant/Award from Employer | 21.5.2026 | 20,413 | +5,308 | — |
| Cohen Andrew B | Grant/Award from Employer | 21.5.2026 | 67,953 | +7,849 | — |
| del Corro Pedro | Grant/Award from Employer | 21.5.2026 | 42,142 | +5,308 | — |
| Mair Barbara | Grant/Award from Employer | 21.5.2026 | 36,396 | +5,308 | — |
| de Macedo Aristides | Grant/Award from Employer | 21.5.2026 | 26,600 | +5,308 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
4,228,540 shares short as of 2026-09-15 · vs. 3,625,644 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
50.9% of trading volume this week was short selling, vs. 50.6% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology