Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$61.87
▼ $2.00 (-3.1%)
Market data updated: 10/01 12:16 AM
Fundamentals updated: 10/01/2026
News analyzed: 10/01/2026
Market Cap
$3.79B
Day Range
$61.82 - $63.92
52-Week Range
$58.07 - $81.00
Beta
—
Next Earnings
28.10.2026
Support
$61.88
Resistance
$79.49
TNL is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
+6.5% (1Y)
Strengths: 8/30 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
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Golden Cross
SMA 50 recently crossed above SMA 200
Technical
Biggest negative driver
DCF Fair Value
Estimated fair value: $47.91 vs. price $61.87 (-22.6%)
Fair Value
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
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
47
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
48
Quality
63
Value
38
Momentum
32
Risk
56
Sentiment
62
Fundamental
55
Institutional
8
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.
Recent media coverage of Travel + Leisure Co. has primarily focused on its upcoming third-quarter 2026 financial report and an SEC settlement. The company announced it will release its Q3 earnings on October 27, 2026, with a conference call, while also agreeing to pay a $975,000 penalty to resolve allegations of misleading disclosures. Analysts have also briefly discussed its stock valuation and cash-generating potential, though broader business updates are limited.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Travel Leisure Co. Common Stock. News trend score: 62. Reason: 3 of the last 7 articles are positive, versus 1 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
14
🎯 Conviction (vs. Emotion)
42
Psychology
76
Fundamentals
55
Technical
32
Valuation
38
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
The price rise has far outpaced the actual improvement in fundamental data.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
-15%
Market Narrative
52
Fundamental Reality
42
Narrative Gap
+10
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
👥 What the crowd believes
"Travel + Leisure (TNL) agreed to pay a $975,000 civil penalty as part of a settlement with the US Securities and Exchange Commission (SEC) alleging misleading disclosures."
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 — 87/100
🔴 Weakest match
Thorstein Veblen — 21/100
🗣️ Why do they disagree?
This stock’s divergent scores reflect a stark contrast between methodologies that prioritize long-term fundamentals and those that demand strict trend alignment or defensive metrics. The highest-rated investors—Charles Mackay, Howard Marks (Market Cycle), and Morgan Housel—see it as a low-risk, patient-friendly opportunity, with Mackay and Marks noting no signs of speculative frenzy or cycle overextension, while Housel highlights its potential as a quiet, compounding hold. Meanwhile, mid-tier thinkers like Samuel Nelson and Edgar Smith agree on its cyclical favorability but temper enthusiasm with cautious ‘buy-and-hold’ language. At the lower end, Graham’s defensive framework and Lynch’s growth-at-a-reasonable-price test reject it outright, while Veblen and Livermore dismiss it for being either detached from market momentum or pursuing growth without substance. The divide underscores whether the stock’s appeal lies in its structural resilience (favored by cycle-aware or patient investors) or its failure to meet rigid valuation or trend-based filters.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 87
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 85
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
Morgan Housel
The Psychology of Money (2020)
🟢 78
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 75
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 74
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 66
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
Jack Schwager
Market Wizards (1989)
🟢 66
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 64
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟡 58
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 53
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 50
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 42
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 36
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)
🔴 33
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 21
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 17
Not enough valuation data for a real Enterprising-Graham read
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 20%
Fact → Principle → Simulation
Based on the last 250 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (2 bullish · 8 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.
High 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
93.2%
Operating Margin
13.8%
Net Margin
5.7%
EBITDA Margin
16.8%
ROE
-23.4%
ROA
3.4%
ROIC
—
EPS
$3.51
Cash
$253.00M
Total Debt
$5.60B
Current Ratio
—
Debt/Equity
-5.71
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 16.9.2026 | $0.600 |
| 12.6.2026 | $0.600 |
| 20.3.2026 | $0.600 |
| 12.12.2025 | $0.560 |
| 12.9.2025 | $0.560 |
| 13.6.2025 | $0.560 |
| 17.3.2025 | $0.560 |
| 13.12.2024 | $0.500 |
| 13.9.2024 | $0.500 |
| 14.6.2024 | $0.500 |
| 20.3.2024 | $0.500 |
| 14.12.2023 | $0.450 |
How is Fair Value calculated? →
Current Price
$61.87
Estimated Fair Value (DCF)
$47.91
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-22.6%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
4.1%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 4.1% | $544.33M | $499.38M |
| 2 | 3.7% | $564.38M | $475.02M |
| 3 | 3.3% | $582.94M | $450.14M |
| 4 | 2.9% | $599.81M | $424.92M |
| 5 | 2.5% | $614.81M | $399.58M |
Base FCF (last actual year)
$523.00M
Terminal Value
$9.70B
Present Value of Terminal Value
$6.30B
Enterprise Value
$8.55B
Net Debt
$5.34B
Equity Value
$3.21B
*The DCF model is an estimate based on assumptions — not a guaranteed forecast. You can change the assumptions to examine different scenarios.
Book Value per Share
-$14.66
Tangible Book Value per Share (Tangible NAV)
-$32.20
Sentiment based on basic keywords (not AI) — 3 positive, 3 neutral, 1 negative out of the last 7 articles.
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Travel Leisure Co. Common Stock (TNL) currently has a StockIQ AI score of 47/100, 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.
TNL currently scores 47/100 (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.
Per StockIQ's DCF model, TNL's estimated fair value is $47.91, which is 22.6% below the current price of $61.87. This is one valuation model among several signals in the fair-value category, not a price target.
TNL's technical score is 32/100, 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: SMA 50 recently crossed above SMA 200; Free cash flow growth: 36.6%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: Estimated fair value: $47.91 vs. price $61.87 (-22.6%); Return on equity (ROE): -23.4% (negative); Earnings per share (EPS) growth: -40.9%.
Yes — TNL 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 — 1 purchases and 12 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Duncan Thomas Michael | Open Market Sale | 26.8.2026 | 5,307 | -20,000 | $74.16 |
| ROBIN-CAPLAN AMANDINE | Tax Withholding in Shares | 25.8.2026 | 6,645 | -1,689 | $73.67 |
| ROBIN-CAPLAN AMANDINE | Grant/Award from Employer | 25.8.2026 | 8,334 | +4,291 | — |
| Brown Michael Dean | Exercise of Derivative Securities | 6.8.2026 | 19,976 | -200 | — |
| Brown Michael Dean | Exercise of Derivative Securities | 6.8.2026 | 487,503 | +200 | $44.38 |
| Brown Michael Dean | Open Market Sale | 6.8.2026 | 487,303 | -200 | $79.00 |
| Brown Michael Dean | Open Market Sale | 5.8.2026 | 487,303 | -4,150 | $79.24 |
| Brown Michael Dean | Exercise of Derivative Securities | 5.8.2026 | 491,453 | +4,150 | $44.38 |
| Brown Michael Dean | Exercise of Derivative Securities | 5.8.2026 | 20,176 | -4,150 | — |
| ESFAHANI SY | Open Market Sale | 4.8.2026 | 0 | -52,617 | $78.00 |
| MYERS JEFFREY | Open Market Sale | 4.8.2026 | 67,787 | -34,000 | $77.76 |
| RICHARDS GEOFFREY | Open Market Sale | 27.7.2026 | 1,600 | -33,744 | $75.65 |
| MARSHALL KIMBERLY | Open Market Sale | 23.7.2026 | 0 | -32,691 | $75.00 |
| HERRERA GEORGE | Open Market Sale | 16.6.2026 | 1,353 | -500 | $75.16 |
| MARSHALL KIMBERLY | Open Market Sale | 4.6.2026 | 33,191 | -28,000 | $70.17 |
| Hoag Erik D | Tax Withholding in Shares | 25.5.2026 | 15,883 | -9,658 | $65.12 |
| Hoag Erik D | Grant/Award from Employer | 25.5.2026 | 25,541 | +24,541 | — |
| Post Denny Marie | Open Market Sale | 14.5.2026 | 1,977 | -2,500 | $63.83 |
| Hoag Erik D | Open Market Purchase | 23.4.2026 | 1,000 | +1,000 | $65.67 |
| Brown Michael Dean | Open Market Sale | 17.4.2026 | 487,303 | -9,443 | $79.11 |
| Brown Michael Dean | Exercise of Derivative Securities | 17.4.2026 | 496,746 | +9,443 | $44.38 |
| Brown Michael Dean | Exercise of Derivative Securities | 17.4.2026 | 24,326 | -9,443 | — |
| Brown Michael Dean | Exercise of Derivative Securities | 16.4.2026 | 488,412 | +1,109 | $44.38 |
| Brown Michael Dean | Open Market Sale | 16.4.2026 | 487,303 | -1,109 | $79.13 |
| Brown Michael Dean | Exercise of Derivative Securities | 16.4.2026 | 33,769 | -1,109 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
7,382,341 shares short as of 2026-09-15 · vs. 7,302,397 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
57.7% of trading volume this week was short selling, vs. 62.1% 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