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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Staples · ·
$111.96
▼ $2.44 (-2.1%)
Market data updated: 09/21 12:31 AM
Fundamentals updated: 09/20/2026
News analyzed: 09/21/2026
Market Cap
$21.01B
Day Range
$111.70 - $114.74
52-Week Range
$84.71 - $142.40
Beta
—
Next Earnings
01.12.2026
Support
$111.43
Resistance
$137.07
DLTR is a stock from the Consumer Defensive sector — Food, beverages, and household products — steady demand even in a recession, since these are essential consumer goods.
+13.9% (1Y)
Strengths: 5/29 factors positiveRisk: High
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
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 144.3%
Growth
Biggest negative driver
Daily volatility (ATR)
ATR: 4.0% of price
Risk
What to watch next
When today echoes the past.
83/100
Similarity
15
Historical Matches
91/100
Analog Quality
+5.4%
Median 40D Outcome
56/100
Pattern Consistency
🟢 Bullish
60%
+3.3% … +9.9%
🟡 Base
7%
-0.3% … -0.3%
🔴 Bearish
33%
-10.1% … -4.1%
Typical timeframe (based on real historical rates clearing a 60% bar): 10 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 60% (95% CI 36%–80%) saw the stock rise within 20 trading days, with a median gain of +2.8%.
Echo #1 — Oversold Reversal
9 occurrence(s) · 44% historical success
Echo #2 — Momentum Breakout
1 occurrence(s) · 100% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 53% (30%–75%) | +1.5% | -1.1% … +2.8% | +0.3% |
| 10D | 67% (42%–85%) | +2.4% | -2.0% … +4.9% | +0.9% |
| 20D | 60% (36%–80%) | +2.8% | -2.9% … +7.0% | +1.3% |
| 40D | 60% (36%–80%) | +5.4% | -5.8% … +12.2% | +1.3% |
| 60D | 47% (25%–70%) | -0.7% | -8.9% … +14.5% | +0.7% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2018-03-14 | 83/100 | Consolidation | +5.7% | -11.0% |
| 2026-03-17 | 82/100 | Consolidation | -9.4% | +2.7% |
| 2019-08-08 | 80/100 | ✓ Downtrend | +18.0% | +20.3% |
| 2022-09-06 | 78/100 | Downtrend | +2.8% | +8.7% |
| 2023-06-06 | 78/100 | Downtrend | +9.9% | -6.8% |
| 2024-03-21 | 78/100 | Downtrend | -4.1% | -14.6% |
| 2025-09-12 | 76/100 | Consolidation | -10.1% | +23.5% |
| 2022-12-06 | 75/100 | ✓ Downtrend | -1.7% | -0.7% |
| 2020-09-10 | 75/100 | Consolidation | +1.4% | +24.7% |
| 2022-05-25 | 73/100 | High Volatility | +17.7% | +25.3% |
| 2018-06-07 | 73/100 | Downtrend | +3.3% | -1.8% |
| 2019-12-06 | 73/100 | High Volatility | -0.3% | -15.4% |
| 2022-12-20 | 72/100 | Downtrend | +6.2% | +1.3% |
| 2023-08-31 | 72/100 | Downtrend | -13.0% | -4.9% |
| 2026-01-29 | 72/100 | Consolidation | +7.8% | -16.5% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLP (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
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
50
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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 26, 2026
Then
70
$134.48
Now
50
$111.96
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
71
Quality
58
Value
50
Momentum
9
Risk
34
Sentiment
100
Fundamental
59
Institutional
0
Stocks with a similar DNA right now
SCANNING DLTR...
Recent media coverage on Dollar Tree has primarily focused on its financial performance amid economic uncertainty, particularly in comparison to rival Dollar General. Both retailers reported strong quarterly results, exceeding sales expectations as consumers favored their low-cost essentials. Tariff refunds contributed to higher profit targets for Dollar Tree, reinforcing its resilience in a challenging retail environment. The discussion also highlights its position within the hardline discount retail sector, though broader market trends and macroeconomic concerns remain the dominant financial narrative.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Dollar Tree. News trend score: 100. Reason: 11 of the last 20 articles are positive, versus 2 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
36
🎯 Conviction (vs. Emotion)
41
Psychology
91
Fundamentals
59
Technical
9
Valuation
50
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Price (3M)
+0%
Market Narrative
53
Fundamental Reality
41
Narrative Gap
+12
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
DLTR’s psychology profile suggests **euphoria** as the dominant narrative, despite negative momentum and neutral technicals. The stock’s +10.2% premium to its 200-day average, combined with modest volume and neutral RSI, implies detached optimism—likely fueled by positive sentiment (68/100) and a narrative-reality gap (6 points). However, elevated volatility (1.24x ATR) hints at underlying unease, possibly masking panic selling among some participants. The key question: *Will euphoria persist despite technical divergence, or will volatility escalate into a more pronounced panic?*
Updated: 09/09/2026, 04:53 AM
What could change this?
👥 What the crowd believes
"both retailers also benefited from tariff refunds, which helped support their higher full-year profit targets"
"lower-priced essentials continued to drive consumers to their stores amid economic uncertainty"
"Barclays Adjusts Price Target on Dollar Tree to $160 From $140, Keeps Overweight Rating"
📈 12D Investor Psychology
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
Samuel Armstrong Nelson — 98/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 13/100
🗣️ Why do they disagree?
This stock sparks a sharp divide between growth-oriented methodologies and those skeptical of its fundamentals or market positioning. Peter Lynch and Thorstein Veblen both see strong potential, with Lynch calling it a ‘growth candidate’ where the price hasn’t yet reflected its upside, while Veblen aligns its growth with real value creation—suggesting a consensus among value-growth investors. However, the majority of frameworks—from Benjamin Graham’s defensive criteria to Jack Schwager’s trading discipline—reject it outright, flagging risks like overvaluation, volatility, or poor liquidity. Even Howard Marks, who acknowledges a solid business, warns of inflated expectations, while Gerald Loeb and Walter Bagehot highlight concrete threats to capital. The contrast underscores a tension between optimism about future earnings and caution about current market dynamics or structural risks.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 98
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
Peter Lynch
One Up on Wall Street (1989)
🟢 85
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟢 81
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 76
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 71
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 53
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 51
Reasonable but not a clear long-term holding
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)
🟡 47
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 46
Doesn't show the quality/growth signature Fisher required
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)
🟡 37
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
Walter Bagehot
Lombard Street (1873)
🔴 34
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)
🔴 29
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 29
Risk profile Loeb would flag as a real threat 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)
🔴 25
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
Morgan Housel
The Psychology of Money (2020)
🔴 25
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 13
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 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 11 bearish · 0 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
36.3%
Operating Margin
8.5%
Net Margin
6.6%
EBITDA Margin
11.9%
ROE
34.2%
ROA
9.5%
ROIC
—
EPS
$6.23
Cash
$717.80M
Total Debt
$2.43B
Current Ratio
1.07
Debt/Equity
0.65
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
$18.20
Tangible Book Value per Share (Tangible NAV)
$16.15
Sentiment based on basic keywords (not AI) — 11 positive, 7 neutral, 2 negative out of the last 20 articles.
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Dollar Tree (DLTR) currently has a StockIQ AI score of 50/100, 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.
DLTR currently scores 50/100 (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.
DLTR's technical score is 9/100, 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: Earnings per share (EPS) growth: 144.3%; Net income growth: 142.3%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: ATR: 4.0% of price; Calmar: 0.00 (3y annualized return 0.2% / max drawdown 59.2%); Price is below the 50-day average.
StockIQ has no recorded dividend payment history for DLTR.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Stahl Stephanie | Open Market Sale | 4.9.2026 | 1,185 | -1,185 | $131.47 |
| Aflatooni Robert | Open Market Sale | 31.8.2026 | 2,500 | -2,500 | $126.01 |
| Maheshwari Aditya | Tax Withholding in Shares | 2.8.2026 | 127 | -127 | $127.21 |
| Maheshwari Aditya | Tax Withholding in Shares | 2.8.2026 | 5,896 | -127 | $127.21 |
| Stahl Stephanie | Conversion of Derivative Security | 1.8.2026 | 1,185 | +1,185 | — |
| Stahl Stephanie | Conversion of Derivative Security | 1.8.2026 | 1,185 | -1,185 | — |
| Stahl Stephanie | Conversion of Derivative Security | 1.8.2026 | 5,274 | +1,185 | — |
| Stahl Stephanie | Conversion of Derivative Security | 1.8.2026 | 0 | -1,185 | — |
| Schumacher Steven | Tax Withholding in Shares | 5.7.2026 | 282 | -282 | $124.05 |
| Schumacher Steven | Tax Withholding in Shares | 5.7.2026 | 22,178 | -282 | $124.05 |
| HEINRICH DANIEL J | Grant/Award from Employer | 1.7.2026 | 1,238 | +1,238 | $121.15 |
| Randolph Diane | Grant/Award from Employer | 1.7.2026 | 1,238 | +1,238 | $121.15 |
| Randolph Diane | Conversion of Derivative Security | 1.7.2026 | 1,398 | +1,398 | — |
| Randolph Diane | Conversion of Derivative Security | 1.7.2026 | 1,398 | -1,398 | — |
| KELLY EDWARD J III | Grant/Award from Employer | 1.7.2026 | 309.53 | +309.53 | $121.15 |
| Stahl Stephanie | Grant/Award from Employer | 1.7.2026 | 371.44 | +371.44 | $121.15 |
| GRISE CHERYL W | Grant/Award from Employer | 1.7.2026 | 1,238 | +1,238 | $121.15 |
| Douglas William W III | Grant/Award from Employer | 1.7.2026 | 1,238.13 | +1,238.13 | $121.15 |
| KELLY EDWARD J III | Grant/Award from Employer | 1.7.2026 | 2,063.56 | +2,063.56 | $121.15 |
| Stahl Stephanie | Grant/Award from Employer | 1.7.2026 | 1,238.13 | +1,238.13 | $121.15 |
| JOHNSON TIMOTHY A | Grant/Award from Employer | 1.7.2026 | 1,238 | +1,238 | $121.15 |
| SCOTT BERTRAM L | Grant/Award from Employer | 1.7.2026 | 1,238.13 | +1,238.13 | $121.15 |
| KELLY EDWARD J III | Grant/Award from Employer | 1.7.2026 | 2,064 | +2,064 | $121.15 |
| KELLY EDWARD J III | Grant/Award from Employer | 1.7.2026 | 2,373 | +310 | $121.15 |
| GRISE CHERYL W | Grant/Award from Employer | 1.7.2026 | 2,238 | +1,238 | $121.15 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
7,407,625 shares short as of 2026-08-31 · vs. 9,933,524 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
54.3% of trading volume this week was short selling, vs. 51.0% 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