Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Real Estate · ·
$38.41
▼ $1.31 (-3.3%)
Market data updated: 09/23 06:50 PM
Fundamentals updated: 09/23/2026
News analyzed: 09/23/2026
Market Cap
$8.70B
Day Range
$38.03 - $38.53
52-Week Range
$35.09 - $43.26
Beta
—
Next Earnings
28.10.2026
Support
$38.03
Resistance
$43.26
CUBE is a stock from the Real Estate sector — REITs and real-estate companies — highly sensitive to interest rates and property prices.
-4.3% (1Y)
Strengths: 2/22 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
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Gross margin
Gross margin: 68.7% — strong
Fundamental
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: -0.01 (3y annualized return -0.2% / max drawdown 35.2%)
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 2 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 2
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
42
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
No data available
Value
50
Momentum
13
Risk
42
Sentiment
68
Fundamental
61
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.
Recent media coverage of CubeSmart focuses primarily on its valuation and performance relative to other REITs (Real Estate Investment Trusts) and broader market trends. Analysts have compared CubeSmart to competitors like Public Storage and Extra Space Storage, highlighting its recession-resistant nature tied to storage demand. There’s also mention of a neutral rating and lowered price target to $41 by Mizuho analyst Ravi Vaidya, alongside broader market discussions about rising interest rates and REITs lagging amid economic uncertainty. No company-specific major events are detailed beyond these general comparisons.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about CubeSmart Common. News trend score: 68. Reason: 6 of the last 20 articles are positive, versus 3 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)
38
Psychology
84
Fundamentals
61
Technical
13
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.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price (3M)
-6%
Market Narrative
47
Fundamental Reality
38
Narrative Gap
+9
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
📈 3D 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) — 0/100
🗣️ Why do they disagree?
The methodologies here split sharply between bullish and bearish views on CUBE, with Samuel Armstrong Nelson’s near-perfect score of 98 standing out as an outlier favoring the stock based on its cyclical positioning. Meanwhile, the majority of models—particularly those from Graham, Lynch, and Veblen—reject it outright, with Graham’s zero scores indicating a complete failure of defensive metrics, while Lynch and Veblen flag it as either lacking growth potential or driven by speculative excess. The middle-ground approaches, like Marks’ mixed verdict or Fisher’s lukewarm endorsement, suggest the stock may have *some* merits but falls short of their ideal standards, while Livermore’s negative trend signal and Malkiel/Bogle’s index-fund preference further dampen enthusiasm. The contrast between Nelson’s cyclical optimism and the rest’s skepticism highlights whether the stock’s valuation aligns with broader market conditions or if it’s overpriced relative to fundamentals.
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 89
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)
🟢 67
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)
🟢 65
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 63
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)
🟡 58
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
Jack Schwager
Market Wizards (1989)
🟡 56
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 55
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 53
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)
🟡 50
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 25
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 16
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)
🔴 16
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
Peter Lynch
One Up on Wall Street (1989)
🔴 8
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 40%
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 0
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 0
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Based on the last 284 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
68.7%
Operating Margin
—
Net Margin
29.5%
EBITDA Margin
—
ROE
12.2%
ROA
5.0%
ROIC
—
EPS
$1.46
Cash
$5.78M
Total Debt
—
Current Ratio
—
Debt/Equity
—
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 1.7.2026 | $0.530 |
| 30.6.2026 | $0.530 |
| 1.4.2026 | $0.530 |
| 31.3.2026 | $0.530 |
| 2.1.2026 | $0.530 |
| 1.1.2026 | $0.530 |
| 1.10.2025 | $0.520 |
| 30.9.2025 | $0.520 |
| 1.7.2025 | $0.520 |
| 30.6.2025 | $0.520 |
| 1.4.2025 | $0.520 |
| 31.3.2025 | $0.520 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$11.87
Tangible Book Value per Share (Tangible NAV)
$11.83
Sentiment based on basic keywords (not AI) — 6 positive, 11 neutral, 3 negative out of the last 20 articles.
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CubeSmart Common (CUBE) currently has a StockIQ AI score of 42/100, rated "Weak" (a partial score — based on only 6 of 7 categories, some data is currently unavailable). The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
CUBE currently scores 42/100 (Weak) across the categories we measure (a partial score — based on only 6 of 7 categories, some data is currently unavailable). StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
CUBE's technical score is 13/100, 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: Gross margin: 68.7% — strong; Net margin: 29.5% — strong.
Based on the real signals StockIQ computed: Calmar: -0.01 (3y annualized return -0.2% / max drawdown 35.2%); Earnings per share (EPS) growth: -15.1%; Net income growth: -15.5%.
Yes — CUBE 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 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| MARTIN TIMOTHY M | Grant/Award from Employer | 15.7.2026 | 301 | +301 | $40.46 |
| MARR CHRISTOPHER P | Grant/Award from Employer | 15.7.2026 | 78 | +78 | $40.46 |
| Schulte Jennifer | Grant/Award from Employer | 15.7.2026 | 12.953 | +12.953 | $40.46 |
| MARR CHRISTOPHER P | Grant/Award from Employer | 15.7.2026 | 6,038 | +78 | $40.46 |
| MARTIN TIMOTHY M | Grant/Award from Employer | 15.7.2026 | 23,264 | +301 | $40.46 |
| Schulte Jennifer | Grant/Award from Employer | 15.7.2026 | 1,002 | +13 | $40.46 |
| MARR CHRISTOPHER P | Open Market Sale | 10.6.2026 | 108,932 | -108,932 | $42.24 |
| MARR CHRISTOPHER P | Exercise of Derivative Securities | 10.6.2026 | 108,932 | -108,932 | — |
| MARR CHRISTOPHER P | Exercise of Derivative Securities | 10.6.2026 | 108,932 | +108,932 | $26.30 |
| MARR CHRISTOPHER P | Exercise of Derivative Securities | 10.6.2026 | 718,537 | +108,932 | $26.30 |
| MARR CHRISTOPHER P | Open Market Sale | 10.6.2026 | 609,605 | -108,932 | $42.24 |
| MARR CHRISTOPHER P | Exercise of Derivative Securities | 10.6.2026 | 0 | -108,932 | — |
| Bussani Piero | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| Chin Jit Kee | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| Dowling Dororthy | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| Connor Martin P. | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| Weber Jennie | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| ROGATZ JEFFREY F | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| Lynch Jair K | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| REMONDI JOHN F | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
| REMONDI JOHN F | Grant/Award from Employer | 19.5.2026 | 77,969 | +4,044 | — |
| ROGATZ JEFFREY F | Grant/Award from Employer | 19.5.2026 | 58,114 | +4,044 | — |
| Bussani Piero | Grant/Award from Employer | 19.5.2026 | 68,966 | +4,044 | — |
| Chin Jit Kee | Grant/Award from Employer | 19.5.2026 | 13,682 | +4,044 | — |
| Connor Martin P. | Grant/Award from Employer | 19.5.2026 | 4,044 | +4,044 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
7,496,952 shares short as of 2026-08-31 · vs. 10,147,497 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
62.8% of trading volume this week was short selling, vs. 71.7% 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