Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$13.29
▲ $0.15 (+1.1%)
Market data updated: 09/27 04:56 AM
Fundamentals updated: 09/27/2026
News analyzed: 09/27/2026
Market Cap
$3.80B
Day Range
$13.04 - $13.33
52-Week Range
$12.73 - $22.48
Beta
—
Next Earnings
19.10.2026
Support
$12.90
Resistance
$15.65
MAT is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-20.2% (1Y)
Strengths: 5/29 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
🔴 Bearish
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
Calmar Ratio (return vs. drawdown)
Calmar: -0.35 (3y annualized return -14.5% / max drawdown 41.1%)
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
45
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
Not enough data yet to generate this synthesis.
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
32
Quality
58
Value
55
Momentum
12
Risk
48
Sentiment
68
Fundamental
68
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 Mattel, Inc.. News trend score: 68. Reason: 7 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
12
🎯 Conviction (vs. Emotion)
40
Psychology
41
Fundamentals
68
Technical
12
Valuation
55
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price (3M)
-5%
Market Narrative
47
Fundamental Reality
40
Narrative Gap
+7
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
Signal classification confidence: High (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
Charles Mackay — 91/100
🔴 Weakest match
Jesse Livermore — 23/100
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 91
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 89
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 76
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟢 69
A real, disciplined setup with favorable reward/risk
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 65
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 62
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟡 59
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 54
Some discount, but not the deep 'net-net' bargain Graham's enterprising bar sets
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 49
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 40
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 34
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 32
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 29
The kind of volatility that tends to shake patient holders out
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 27
Doesn't show the stability Smith's long-term case requires
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🔴 23
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 23
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Based on the last 285 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 bearish · 1 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.
The stock is in a clear downtrend with no defined trading range in the period examined.
Medium confidence
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
48.7%
Operating Margin
10.2%
Net Margin
7.4%
EBITDA Margin
13.4%
ROE
17.8%
ROA
6.0%
ROIC
—
EPS
$1.25
Cash
$1.24B
Total Debt
$2.33B
Current Ratio
2.15
Debt/Equity
1.04
אין נתונים היסטוריים זמינים.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$6.94
Tangible Book Value per Share (Tangible NAV)
$1.57
Sentiment based on basic keywords (not AI) — 7 positive, 9 neutral, 4 negative out of the last 20 articles.
Yahoo · 22.9.2026
Yahoo · 21.9.2026
Yahoo · 21.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 15.9.2026
Yahoo · 7.8.2026
Yahoo · 7.8.2026
Yahoo · 5.8.2026
Yahoo · 5.8.2026
Yahoo · 5.8.2026
Yahoo · 5.8.2026
Yahoo · 5.8.2026
Yahoo · 5.8.2026
Yahoo · 5.8.2026
Mattel, Inc. (MAT) currently has a StockIQ AI score of 45/100, 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.
MAT currently scores 45/100 (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.
MAT's technical score is 12/100, which currently reads as bearish — 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; Current ratio: 2.15; Gross margin: 48.7% — strong.
Based on the real signals StockIQ computed: Calmar: -0.35 (3y annualized return -14.5% / max drawdown 41.1%); Revenue growth (last year): -0.6%; Earnings per share (EPS) growth: -21.5%.
StockIQ has no recorded dividend payment history for MAT.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 1 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Isaias Zanatta Roberto Jacobo | Open Market Sale | 31.8.2026 | 144,390 | -39,083 | $15.02 |
| Stanichi Roberto Seixas | Grant/Award from Employer | 31.7.2026 | 62,956 | +62,956 | — |
| Stanichi Roberto Seixas | Grant/Award from Employer | 31.7.2026 | 132,538 | +132,538 | — |
| Ruh Paul | Exercise of Derivative Securities | 29.5.2026 | 24,610 | +24,610 | — |
| Ruh Paul | Tax Withholding in Shares | 29.5.2026 | 15,939 | -8,671 | $14.94 |
| Ruh Paul | Exercise of Derivative Securities | 29.5.2026 | 82,148 | +66,209 | — |
| Ruh Paul | Tax Withholding in Shares | 29.5.2026 | 50,788 | -31,360 | $14.94 |
| Ruh Paul | Exercise of Derivative Securities | 29.5.2026 | 49,968 | -24,610 | — |
| Ruh Paul | Exercise of Derivative Securities | 29.5.2026 | 134,425 | -66,209 | — |
| Ancira Karen | Exercise of Derivative Securities | 29.5.2026 | 32,270 | +16,695 | — |
| Ancira Karen | Tax Withholding in Shares | 29.5.2026 | 26,279 | -5,991 | $14.94 |
| Ancira Karen | Exercise of Derivative Securities | 29.5.2026 | 17,201 | -16,695 | — |
| GENACHOWSKI JULIUS | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| NG DOMINIC | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| FERGUSON DIANA SUE | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| Lynch Roger | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| Lynch Roger | Grant/Award from Employer | 28.5.2026 | 23,746 | +11,753 | $14.89 |
| Olian Judy D. | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| Laursen Soren T | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| Cisneros Adriana | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| Hertz Noreena | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| OSTROFF DAWN | Grant/Award from Employer | 28.5.2026 | 11,753 | +11,753 | — |
| FERGUSON DIANA SUE | Exercise of Derivative Securities | 15.5.2026 | 27,551 | +8,594 | — |
| FERGUSON DIANA SUE | Exercise of Derivative Securities | 15.5.2026 | 0 | -8,594 | — |
| Lynch Roger | Exercise of Derivative Securities | 15.5.2026 | 30,784 | +8,594 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
26,493,895 shares short as of 2026-09-15 · vs. 26,065,949 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
51.2% of trading volume this week was short selling, vs. 57.3% 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