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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Industrials · ·
$110.00
▼ $0.29 (-0.3%)
Market data updated: 09/18 10:02 PM
Fundamentals updated: 09/18/2026
News analyzed: 09/18/2026
Market Cap
$5.71B
Day Range
$109.22 - $111.30
52-Week Range
$109.22 - $170.19
Beta
—
Next Earnings
02.11.2026
Support
$110.00
Resistance
$146.41
JBTM is a stock from the Industrials sector — Manufacturing, aerospace, defense, and infrastructure — closely tied to capital-investment cycles and economic growth.
-18.3% (1Y)
Strengths: 4/30 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
Revenue growth (last year)
Revenue growth (last year): 121.3%
Growth
Biggest negative driver
Net margin
Net margin: -1.3% (negative)
Fundamental
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
36
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
46
Quality
47
Value
50
Momentum
12
Risk
40
Sentiment
68
Fundamental
27
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 **JBT Marel Corporation** highlights its strong financial momentum and analyst optimism. The company has seen record order volumes, prompting multiple Wall Street upgrades, including an **overweight rating and $150 price target from Barclays** and a **bullish coverage initiation from Keybanc**. Analysts praise its consistent growth in food processing equipment, positioning it as a standout stock with competitive advantages. The focus remains on its robust demand and market position amid broader analyst upgrades.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about JBT Marel Corporation. News trend score: 68. Reason: 8 of the last 20 articles are positive, versus 5 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
21
🎯 Conviction (vs. Emotion)
39
Psychology
95
Fundamentals
27
Technical
12
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.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Price (3M)
-17%
Market Narrative
45
Fundamental Reality
39
Narrative Gap
+6
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
JBTM’s dominant **herding** behavior reflects a market where traders are following peers rather than acting on independent signals. The narrow gap between JBTM’s decline (-1.5%) and its sector (-1.1%) suggests no clear leadership or divergence. Meanwhile, **anchoring** at 2.4% above support hints at traders waiting for confirmation before committing. The narrative gap (58 vs. 39) implies optimism may outpace tangible fundamentals, but the lack of extreme sentiment or volatility keeps panic or euphoria muted. The key question: *Will traders break from the herd if support holds or if peers diverge?*
Updated: 09/09/2026, 09:08 AM
What could change this?
👥 What the crowd believes
"Barclays Initiates JBT Marel With Overweight Rating"
"Baird analyst [and] Keybanc Initiates Coverage of JBT Marel (JBTM) with Overweight Recommendation"
"JBT Marel (JBTM) Rides Record Orders Into A Messy Quarter"
"A Food Processing Equipment Stock With Consistent Growth"
📈 11D 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 — 99/100
🔴 Weakest match
Thorstein Veblen — 12/100
🗣️ Why do they disagree?
Based on the documented principles of each investor, the model estimates that Nelson, Mackay, Marks (cycle), Smith and Schwager assign high scores (99‑74) because they see the stock in a favorable cycle position, lack of crowd mania, and a disciplined risk‑reward setup. In contrast, Graham’s value screens, Fisher’s growth quality criteria, Lynch’s GARP filter, and the efficient‑market view all produce moderate to low scores (35‑60) reflecting concerns about valuation, growth sustainability, and limited evidence of outperformance. Livermore, Bagehot, and Veblen give the lowest scores, flagging a negative price trend, liquidity risk, and growth pursued without substance. Together these divergent assessments illustrate how cycle‑timing, intrinsic‑value, growth quality, and market‑efficiency lenses can lead to markedly different judgments on the same stock.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 99
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)
🟢 91
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)
🟢 82
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 80
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
Jack Schwager
Market Wizards (1989)
🟢 74
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
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 60
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 47
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 45
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 44
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 40
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)
🔴 35
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 (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 34
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 24
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
Walter Bagehot
Lombard Street (1873)
🔴 22
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 12
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
Based on the last 279 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
35.1%
Operating Margin
5.0%
Net Margin
-1.3%
EBITDA Margin
12.0%
ROE
-1.1%
ROA
-0.6%
ROIC
—
EPS
-$0.98
Cash
$167.90M
Total Debt
$1.88B
Current Ratio
0.98
Debt/Equity
0.42
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 17.8.2026 | $0.100 |
| 26.5.2026 | $0.100 |
| 25.5.2026 | $0.100 |
| 9.3.2026 | $0.100 |
| 8.3.2026 | $0.100 |
| 15.12.2025 | $0.100 |
| 14.12.2025 | $0.100 |
| 18.8.2025 | $0.100 |
| 17.8.2025 | $0.100 |
| 27.5.2025 | $0.100 |
| 26.5.2025 | $0.100 |
| 10.3.2025 | $0.100 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$85.84
Tangible Book Value per Share (Tangible NAV)
-$20.90
Sentiment based on basic keywords (not AI) — 8 positive, 7 neutral, 5 negative out of the last 20 articles.
Yahoo · 16.9.2026
Yahoo · 10.9.2026
StockStory · 10.9.2026
Fintel · 8.9.2026
MT Newswires · 8.9.2026
Benzinga · 8.9.2026
Yahoo · 5.9.2026
Insider Monkey · 5.9.2026
StockStory · 2.9.2026
Yahoo · 2.9.2026
StockStory · 2.9.2026
Yahoo · 1.9.2026
Insider Monkey · 1.9.2026
Benzinga · 31.8.2026
Yahoo · 28.8.2026
StockStory · 28.8.2026
Fintel · 27.8.2026
Benzinga · 26.8.2026
The Fly · 25.8.2026
MT Newswires · 25.8.2026
JBT Marel Corporation (JBTM) currently has a StockIQ AI score of 36/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
JBTM currently scores 36/100 (Weak) 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.
JBTM'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: Revenue growth (last year): 121.3%; Debt/equity: 0.42; Debt/equity: 0.42.
Based on the real signals StockIQ computed: Net margin: -1.3% (negative); Operating margin is eroding over time; Current ratio: 0.98.
Yes — JBTM 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 3 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Moller Andrew James | Grant/Award from Employer | 15.7.2026 | 743 | +743 | — |
| Moller Andrew James | Grant/Award from Employer | 15.7.2026 | 743 | +743 | — |
| Pelletier James C | Tax Withholding in Shares | 30.6.2026 | 409 | -409 | $145.00 |
| Pelletier James C | Tax Withholding in Shares | 30.6.2026 | 3,392 | -409 | $145.00 |
| JACKSON LAWRENCE V | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| Gronfeldt Svafa | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| Harrington Charles L. | Grant/Award from Employer | 1.6.2026 | 1,964 | +1,964 | — |
| Masson Arnar Thor | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| KAWALEK POLLY B | Grant/Award from Employer | 1.6.2026 | 1,964 | +1,964 | — |
| Savage Ann | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| BRASIER BARBARA L | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| FELDMAN ALAN D | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| Gudmundsson Olafur S | Grant/Award from Employer | 1.6.2026 | 1,232 | +1,232 | — |
| KAWALEK POLLY B | Grant/Award from Employer | 1.6.2026 | 76,024 | +1,964 | — |
| BRASIER BARBARA L | Grant/Award from Employer | 1.6.2026 | 10,259 | +1,232 | — |
| JACKSON LAWRENCE V | Grant/Award from Employer | 1.6.2026 | 10,783 | +1,232 | — |
| FELDMAN ALAN D | Grant/Award from Employer | 1.6.2026 | 65,855 | +1,232 | — |
| Gronfeldt Svafa | Grant/Award from Employer | 1.6.2026 | 3,132 | +1,232 | — |
| Gudmundsson Olafur S | Grant/Award from Employer | 1.6.2026 | 11,212 | +1,232 | — |
| Harrington Charles L. | Grant/Award from Employer | 1.6.2026 | 11,356 | +1,964 | — |
| Masson Arnar Thor | Grant/Award from Employer | 1.6.2026 | 9,761 | +1,232 | — |
| Savage Ann | Grant/Award from Employer | 1.6.2026 | 2,987 | +1,232 | — |
| Deck Brian A | Open Market Sale | 3.3.2026 | 8,634 | -8,634 | $150.51 |
| Deck Brian A | Open Market Sale | 3.3.2026 | 127,667 | -8,634 | $150.51 |
| Deck Brian A | Open Market Sale | 2.3.2026 | 10,000 | -10,000 | $151.39 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
3,407,863 shares short as of 2026-08-31 · vs. 3,422,243 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
69.3% of trading volume this week was short selling, vs. 79.8% 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