Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$96.42
▼ $0.65 (-0.7%)
Market data updated: 10/01 12:40 AM
News analyzed: 10/01/2026
Market Cap
$9.13B
Day Range
$96.33 - $97.75
52-Week Range
$67.64 - $105.19
Beta
—
Next Earnings
15.12.2026
Support
$90.24
Resistance
$100.80
TTC is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
+28.3% (1Y)
Strengths: 12/32 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
Free cash flow growth
Free cash flow growth: 24.0%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $80.36 vs. price $96.42 (-16.7%)
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
59
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
42
Value
38
Momentum
73
Risk
48
Sentiment
100
Fundamental
63
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 The Toro Company (TTC) has centered on its strategic shift toward industrial machinery and infrastructure-focused growth, particularly in underground utilities and automation. The company’s new CEO-elect, Edric Funk, highlighted these sectors as key drivers of future expansion at a major conference. Additionally, analysts like Oppenheimer have praised Toro’s diversification and set bullish price targets, while share buybacks and strong stock performance have been noted amid discussions about earnings potential and market outperformance.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Toro Company (The). News trend score: 100. Reason: 10 of the last 16 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
28
🎯 Conviction (vs. Emotion)
35
Psychology
51
Fundamentals
63
Technical
73
Valuation
38
Price, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+0%
Market Narrative
74
Fundamental Reality
35
Narrative Gap
+39
🔀 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
Morgan Housel — 70/100
🔴 Weakest match
Samuel Armstrong Nelson — 15/100
🗣️ Why do they disagree?
This stock’s starkly divided verdicts reflect deep methodological disagreements about what makes a sound investment. Morgan Housel’s high score and bullish tone contrast sharply with the overwhelming caution from Graham, Lynch, and Schwager, who prioritize defensive metrics, growth-at-a-reasonable-price thresholds, and disciplined setups—all of which this stock fails. Meanwhile, the mixed signals from Mackay, Loeb, and Marks highlight tensions between risk tolerance (moderate risk is acceptable to Loeb) and market timing (Marks’ late-cycle warning). Fisher and Veblen’s low scores suggest a lack of the quality-driven growth or institutional discipline they demand, while the efficient-market camp’s lukewarm stance implies the stock’s case for outperformance is weak. Even the more patient investors like Housel and Smith acknowledge limitations—Housel’s ‘quiet compounder’ label contrasts with Smith’s ‘not a clear long-term holding,’ revealing how subjective ‘patient’ versus ‘clear’ criteria can be.
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 57
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 57
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)
🟡 56
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 55
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 49
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)
🟡 48
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)
🟡 45
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 34
Looks late-cycle — the position Marks would treat with extra caution
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 30
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 27
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
Jack Schwager
Market Wizards (1989)
🔴 20
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 18
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)
🔴 18
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 15
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
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 an uptrend (8 bullish · 3 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 trading range, but the picture isn't yet clear enough on the likely direction.
Low confidence
$90.24
Range Bottom
$100.80
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
33.4%
Operating Margin
9.1%
Net Margin
7.0%
EBITDA Margin
12.3%
ROE
21.8%
ROA
9.2%
ROIC
—
EPS
$3.18
Cash
$341.00M
Total Debt
$921.50M
Current Ratio
1.87
Debt/Equity
0.63
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 16.6.2026 | $0.390 |
| 30.3.2026 | $0.390 |
| 22.12.2025 | $0.390 |
| 7.10.2025 | $0.380 |
| 17.6.2025 | $0.380 |
| 31.3.2025 | $0.380 |
| 23.12.2024 | $0.380 |
| 30.9.2024 | $0.360 |
| 18.6.2024 | $0.360 |
| 28.3.2024 | $0.360 |
| 26.12.2023 | $0.360 |
| 3.10.2023 | $0.340 |
How is Fair Value calculated? →
Current Price
$96.42
Estimated Fair Value (DCF)
$80.36
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-16.7%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
-0.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | -0.0% | $578.15M | $530.42M |
| 2 | 0.6% | $581.66M | $489.57M |
| 3 | 1.2% | $588.85M | $454.70M |
| 4 | 1.9% | $599.86M | $424.95M |
| 5 | 2.5% | $614.85M | $399.61M |
Base FCF (last actual year)
$578.30M
Terminal Value
$9.70B
Present Value of Terminal Value
$6.30B
Enterprise Value
$8.60B
Net Debt
$580.50M
Equity Value
$8.02B
*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
$14.56
Tangible Book Value per Share (Tangible NAV)
$6.13
Sentiment based on basic keywords (not AI) — 10 positive, 5 neutral, 1 negative out of the last 16 articles.
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Toro Company (The) (TTC) currently has a StockIQ AI score of 59/100, 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.
TTC currently scores 59/100 (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, TTC's estimated fair value is $80.36, which is 16.7% below the current price of $96.42. This is one valuation model among several signals in the fair-value category, not a price target.
TTC's technical score is 73/100, 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: Free cash flow growth: 24.0%; Return on equity (ROE): 21.8% — strong; Current ratio: 1.87.
Based on the real signals StockIQ computed: Estimated fair value: $80.36 vs. price $96.42 (-16.7%); Operating margin is eroding over time; Calmar: 0.15 (3y annualized return 5.6% / max drawdown 36.2%).
Yes — TTC 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 7 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Funk Edric C | Open Market Sale | 8.9.2026 | 3,254 | -145 | $94.36 |
| Funk Edric C | Exercise of Derivative Securities | 2.9.2026 | 12,496 | -6,248 | — |
| Funk Edric C | Exercise of Derivative Securities | 2.9.2026 | 6,248 | +6,248 | $99.15 |
| Funk Edric C | Tax Withholding in Shares | 2.9.2026 | 3,399 | -2,849 | $99.15 |
| Totsky Joanna M. | Exercise of Derivative Securities | 13.7.2026 | 7,740 | +20 | $93.33 |
| Totsky Joanna M. | Exercise of Derivative Securities | 13.7.2026 | 0 | -20 | — |
| Totsky Joanna M. | Tax Withholding in Shares | 13.7.2026 | 7,734 | -6 | $93.33 |
| Svendsen Kurt D | Open Market Sale | 23.6.2026 | 12,166 | -6,600 | $93.09 |
| Svendsen Kurt D | Exercise of Derivative Securities | 23.6.2026 | 18,766 | +6,600 | $56.54 |
| Svendsen Kurt D | Exercise of Derivative Securities | 23.6.2026 | 0 | -6,600 | — |
| Totsky Joanna M. | Exercise of Derivative Securities | 22.6.2026 | 0 | -4,859 | — |
| Totsky Joanna M. | Exercise of Derivative Securities | 22.6.2026 | 9,888 | +4,859 | $92.19 |
| Totsky Joanna M. | Tax Withholding in Shares | 22.6.2026 | 7,720 | -2,168 | $92.19 |
| MOELLER PETER D | Exercise of Derivative Securities | 11.6.2026 | 2,668 | +2,000 | $56.54 |
| MOELLER PETER D | Open Market Sale | 11.6.2026 | 1,348 | -1,320 | $93.40 |
| MOELLER PETER D | Exercise of Derivative Securities | 11.6.2026 | 0 | -2,000 | — |
| MOELLER PETER D | Open Market Sale | 11.6.2026 | 1,248 | -100 | $93.41 |
| MOELLER PETER D | Open Market Sale | 11.6.2026 | 1,148 | -100 | $93.41 |
| MOELLER PETER D | Open Market Sale | 11.6.2026 | 668 | -480 | $93.45 |
| Ellis Gary Lee | Exercise of Derivative Securities | 9.6.2026 | 40,248 | +4,951 | $47.17 |
| Ellis Gary Lee | Open Market Sale | 9.6.2026 | 35,297 | -4,951 | $91.91 |
| Ellis Gary Lee | Exercise of Derivative Securities | 9.6.2026 | 0 | -4,951 | — |
| Riley Lori | Tax Withholding in Shares | 14.4.2026 | 1,758 | -5 | $97.74 |
| Riley Lori | Exercise of Derivative Securities | 14.4.2026 | 7,004 | -14 | — |
| Riley Lori | Exercise of Derivative Securities | 14.4.2026 | 1,763 | +14 | $97.74 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
3,695,647 shares short as of 2026-09-15 · vs. 3,757,303 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
72.3% of trading volume this week was short selling, vs. 73.4% 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