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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$97.18
▲ $1.92 (+2.0%)
Market data updated: 09/20 07:03 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$4.48B
Day Range
$95.10 - $98.68
52-Week Range
$35.86 - $106.08
Beta
—
Next Earnings
02.11.2026
Support
$80.64
Resistance
$106.08
+85.4% (1Y)
Strengths: 15/29 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
Revenue growth (last year)
Revenue growth (last year): 25.9%
Growth
Biggest negative driver
Operating margin
Operating margin: -6.6% (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
62
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
today · $97.18
Evidence: FOMO score jumped from 10 to 45 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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
60
Quality
58
Value
50
Momentum
88
Risk
48
Sentiment
92
Fundamental
32
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 Xometry, Inc. has centered on its technological advancements and investor optimism. The company highlighted its new **Workcenter platform**, designed to streamline job discovery and evaluation for manufacturing partners, with AI-driven tools cutting review times by over 60%. Additionally, JPMorgan upgraded Xometry to **Overweight** with a $120 price target, citing its role in digital manufacturing platforms. Insider share sales were also noted, though no major corporate developments were reported.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Xometry, Inc.. News trend score: 92. Reason: 7 of the last 20 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
49
🎯 Conviction (vs. Emotion)
41
Psychology
53
Fundamentals
32
Technical
88
Valuation
50
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.
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
+4%
Market Narrative
69
Fundamental Reality
41
Narrative Gap
+28
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for XMTR suggests a dominant narrative-reality disconnect, with euphoria and overconfidence emerging as key psychological states. The extreme positive sentiment (100/100) and detached price momentum (+11.2% vs. +0.3% revenue growth) imply traders are prioritizing short-term gains over fundamentals. The lack of panic or anchoring signals suggests confidence remains elevated, though the 12.8% distance from support may act as a psychological barrier. The open question is whether this disconnect will persist or if a correction will force a reassessment of valuation.
Updated: 09/09/2026, 09:41 AM
What could change this?
👥 What the crowd believes
"Xometry’s new AI sourcing models introduced in July 2026"
"JP Morgan assumes Xometry at Overweight, Announces Price Target of $120"
"digital technology has worked its way into virtually every corner of the global economy"
"Xometry Insider Sold Shares Worth $947,669"
🧠 Market Brain events driving this
📈 9D Investor Psychology
Signal classification confidence: Medium (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
Walter Bagehot — 76/100
🔴 Weakest match
Samuel Armstrong Nelson — 10/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with Graham’s valuation frameworks failing outright due to insufficient data, while Lynch and Fisher offer contrasting takes: Lynch sees it as a growth candidate where the stock’s price hasn’t yet reflected its potential, whereas Fisher, though approving of its solidity, dismisses it as lacking the exceptional quality he prized. Meanwhile, the middle ground—represented by Bagehot’s credit resilience and Smith’s cautious long-term view—suggests it’s a defensible but unremarkable pick, while the more risk-averse voices like Marks, Nelson, and Schwager flag it as overvalued, cyclically stretched, or lacking a clear trend, respectively. The extremes, from Veblen’s critique of speculative growth chasing to Livermore’s indifference to a murky trend, underscore the stock’s polarizing appeal: it’s neither a slam dunk nor a red flag, but a speculative bet with no clear consensus.
Walter Bagehot
Lombard Street (1873)
🟢 76
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 73
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 72
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 40%
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 62
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)
🟡 48
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 47
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
🟡 44
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 34
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
Jack Schwager
Market Wizards (1989)
🔴 34
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
Morgan Housel
The Psychology of Money (2020)
🔴 32
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
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 30
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🔴 27
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 24
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 11
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 10
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 280 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (10 bullish · 1 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 uptrend 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
39.1%
Operating Margin
-6.6%
Net Margin
-9.0%
EBITDA Margin
—
ROE
-22.4%
ROA
-8.8%
ROIC
—
EPS
—
Cash
$15.00M
Total Debt
—
Current Ratio
3.76
Debt/Equity
1.19
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$5.37
Tangible Book Value per Share (Tangible NAV)
$4.81
Sentiment based on basic keywords (not AI) — 7 positive, 13 neutral, 0 negative out of the last 20 articles.
Yahoo · 19.9.2026
Yahoo · 17.9.2026
Yahoo · 15.9.2026
Yahoo · 13.9.2026
Benzinga · 12.9.2026
Yahoo · 9.9.2026
Barrons.com · 9.9.2026
SeekingAlpha · 8.9.2026
Yahoo · 8.9.2026
GlobeNewswire · 8.9.2026
MT Newswires · 31.8.2026
MT Newswires · 28.8.2026
Yahoo · 27.8.2026
TipRanks · 27.8.2026
GlobeNewswire · 25.8.2026
Benzinga · 25.8.2026
Benzinga · 24.8.2026
Zacks · 24.8.2026
Benzinga · 24.8.2026
Simply Wall St. · 21.8.2026
Xometry, Inc. (XMTR) currently has a StockIQ AI score of 62/100, 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.
XMTR currently scores 62/100 (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.
XMTR's technical score is 88/100, 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: Revenue growth (last year): 25.9%; Free cash flow growth: 28.0%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: Operating margin: -6.6% (negative); Net margin: -9.0% (negative); ATR: 4.8% of price.
StockIQ has no recorded dividend payment history for XMTR.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 14 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Altschuler Randolph | Open Market Sale | 1.9.2026 | 481 | -481 | $92.09 |
| Altschuler Randolph | Open Market Sale | 1.9.2026 | 4,607 | -4,607 | $90.47 |
| Altschuler Randolph | Open Market Sale | 1.9.2026 | 4,912 | -4,912 | $91.03 |
| Weymouth Katharine | Exercise of Derivative Securities | 31.8.2026 | 40,345 | +5,000 | $4.46 |
| Weymouth Katharine | Exercise of Derivative Securities | 31.8.2026 | 0 | -5,000 | — |
| Weymouth Katharine | Open Market Sale | 31.8.2026 | 35,345 | -5,000 | $95.23 |
| Weymouth Katharine | Exercise of Derivative Securities | 31.8.2026 | 5,000 | +5,000 | $4.46 |
| Weymouth Katharine | Exercise of Derivative Securities | 31.8.2026 | 5,000 | -5,000 | — |
| Weymouth Katharine | Open Market Sale | 31.8.2026 | 5,000 | -5,000 | $95.23 |
| Weymouth Katharine | Exercise of Derivative Securities | 28.8.2026 | 0 | -5,000 | — |
| Weymouth Katharine | Exercise of Derivative Securities | 28.8.2026 | 40,345 | +5,000 | $4.46 |
| Weymouth Katharine | Open Market Sale | 28.8.2026 | 35,345 | -5,000 | $94.30 |
| Weymouth Katharine | Exercise of Derivative Securities | 28.8.2026 | 5,000 | +5,000 | $4.46 |
| Weymouth Katharine | Exercise of Derivative Securities | 28.8.2026 | 5,000 | -5,000 | — |
| Weymouth Katharine | Open Market Sale | 28.8.2026 | 5,000 | -5,000 | $94.30 |
| Raghavan Vaidyanathan | Open Market Sale | 27.8.2026 | 5,000 | -5,000 | $96.77 |
| Raghavan Vaidyanathan | Open Market Sale | 27.8.2026 | 135,777 | -5,000 | $96.77 |
| Altschuler Randolph | Gift | 20.8.2026 | 85,582 | -85,582 | — |
| Rollins Emily | Open Market Sale | 19.8.2026 | 2,540 | -2,540 | $83.61 |
| Rollins Emily | Open Market Sale | 19.8.2026 | 768 | -768 | $85.47 |
| Rollins Emily | Open Market Sale | 19.8.2026 | 1,692 | -1,692 | $84.83 |
| Rollins Emily | Exercise of Derivative Securities | 19.8.2026 | 5,000 | +5,000 | — |
| Rollins Emily | Exercise of Derivative Securities | 19.8.2026 | 5,000 | +5,000 | $12.32 |
| Sahni Sanjeev Singh | Open Market Sale | 17.8.2026 | 4 | -4 | $96.26 |
| Sahni Sanjeev Singh | Open Market Sale | 17.8.2026 | 266 | -266 | $90.76 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
3,840,202 shares short as of 2026-08-31 · vs. 2,824,141 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
50.7% of trading volume this week was short selling, vs. 54.0% 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