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XMTR · Xometry, Inc.

Industrial - Machinery · mkt cap $4.3B · calls: Q1 FY2026 vs Q4 FY2025
69.0 conviction · conf-adj 67

conf 4/10 partial

enthusiasm:27.0 · trend:8 · quantifies:5 · impact:0 · under_radar:0 · credibility:12 · business_impact:8 · disruption:0 · commitment:6 · confirmation:3

Enthusiasm latest 9 / prev 7 (rising)

Xometry frames AI substantively as proprietary pricing, sourcing, lead-time, and DFM models on a closed-loop transactional dataset—not as a side initiative—with Q1 adding a 4x-larger enterprise lead-time model, personalized Instant Quote pricing, and Siemens embedding manufacturability/pricing intelligence in CAD. Management links model improvement to marketplace gross margin expansion (25% to ~35% over four years) and ops automation, but offers almost no isolated AI revenue or cost-save attribution; the one hard product KPI is >15% more instant-quoted injection molding. Enthusiasm and specificity rose quarter-over-quarter (Siemens as external validation, named model launches), while credibility rests on operational metrics and margin narrative more than AI-specific financial disclosure.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $0.7B · net income $-0.1B · net margin -9.0% · diluted EPS -1.22

These are next-fiscal-year annual uplift estimates, not next-quarter numbers.

Aggregate next-FY est. rev uplift: 0.0% · next-FY EPS uplift: % · vs analysts: inline · priced in: high · confidence: 4/10

ClaimFigureArithmeticNext-FY Rev %Next-FY EPS %
Lead-time model trained on 4x larger dataset
other · soft		4x larger training data than predecessorPure capability/input metric. No revenue or cost base disclosed anywhere in the claims; cannot be translated into a $ or % impact without inventing one.
Instant quoting of injection-molding parts up >15%
engagement · soft		>15% increase in instant-quote coverage (injection molding)Coverage/automation metric on the injection-molding subset of the marketplace. Injection-molding revenue is NOT disclosed in any claim, so no base is obtainable; conversion lift is real directionally but unquantifiable. Illustrative only: if IM=15% of $686.631M and 15% flowed 1:1 to revenue -> 0.15x0.15x686.631M=$15.4M=2.25% rev; segment % not disclosed so not treated as HARD.
Marketplace gross margin 25% -> ~35% over ~4 years (AI/data flywheel)
cost		25% (4yr ago) -> ~35% (2025), +10ppAnchored historical delta (+10pp, ~+2.5pp/yr), already embedded in the 2025 base (GP 268.773M / rev 686.631M = 39.1% blended). Margin not volume -> rev_uplift_pct=0. Marketplace revenue split not disclosed so incremental GP $ not computable; loss-making GAAP (NI -61.75M) -> EPS% meaningless. Backward-looking: excluded from next-FY aggregate. Anchored, soft=false.0
Q4 FY2025 marketplace gross margin 35.3% (+80bps YoY)
cost		35.3%, +80bps YoYConfirms ongoing flywheel margin climb. Margin not volume -> rev_uplift_pct=0. Upper-bound sizing (all-marketplace): 0.008x686.631M=$5.5M annualized GP=0.80% of rev; at 80-85% mix ~$4.7-5.5M (0.68-0.80%). Marketplace revenue split undisclosed -> $ lift illustrative; GAAP loss -> EPS% null. Anchored, soft=false.0
Q1 FY2026 marketplace gross margin 34.7% (+290bps YoY)
cost		34.7%, +290bps YoYStrongest recent print and primary HARD forward margin delta. Margin not volume -> rev_uplift_pct=0. Upper-bound: 0.029x686.631M=$19.9M annualized GP=2.90% of rev; at 80-85% marketplace mix ~$16-17M (2.47-2.90%). ~70% flow-through x(1-21% tax) ~= $9.4M pretax vs consensus adjusted NI $17.2M, but marketplace revenue split undisclosed (illustrative $) and GAAP loss -> EPS% null per guardrail. Anchored, soft=false.0
2026 marketplace gross margin to be 'higher than 2025'
cost · soft		higher than 2025 (no number)Directional guidance, no magnitude and no base; unanchored, cannot be sized without inventing a number.

Assumptions: FY base: revenue $686.631M, gross profit $268.773M (39.1% blended company GM), GAAP net income -$61.753M (loss -> EPS uplift % suppressed per guardrail). Consensus treated as adjusted basis: NI $17.155M, EPS $0.333. All claims ADOPTER-side (AI improving Xometry's own quoting/lead-times/marketplace GM); no supplier/AI-infrastructure revenue. Marketplace revenue split NOT disclosed in any claim or the base, so bps->$ conversions are illustrative only (shown as 100%-of-rev upper bound and 80-85% marketplace-mix sensitivity), not used as HARD figures. Margin claims -> rev_uplift_pct=0 (price/mix, not volume). Tax 21%; incremental-margin bridge not applied since no claim yields incremental revenue dollars. Phasing: the 25%->35% climb is historical and already in the 2025 base; only the unquantified '2026 higher than 2025' is forward; Q1 +290bps annualized if sustained, not additive to consensus growth.

Top line: No HARD adopter revenue-% from quantified claims. Injection-molding 'over 15%' is an unsegmented coverage metric (soft); lead-time 4x data is operational, not revenue. Growth levers are real adoption drivers but unquantified and not separately sizeable above the company's ~+10%/yr organic growth. Aggregate est_rev_uplift_pct = 0% (all adopter next-FY rev uplifts null or 0; illustrative IM ceiling ~2.25% not used).

Bottom line: The substantive AI lever is bottom-line: marketplace gross margin climbing 25%->~35% over ~4 years (~+2.5pp/yr) and still expanding (+80bps Q4 FY2025, +290bps Q1 FY2026), guided 'higher than 2025' for 2026 — the credible AI/data-flywheel payoff. Illustratively, Q1 +290bps -> ~$16-20M annualized incremental GP (~2.5-2.9% of $686.6M rev); ~+150bps on a ~$549M (80%) marketplace base ~= $6.5M after-tax, roughly a third to a half of the $17.2M consensus adjusted NI — material but already part of the margin trajectory analysts forecast. Two guardrails block a clean EPS%: GAAP is loss-making (NI -61.75M), and the marketplace revenue split needed to convert bps into GP dollars is undisclosed. est_eps_uplift_pct = null.

[EPS uplift n/m (loss-making base)] Consensus already models the AI margin story: adjusted EPS swings -1.09 (2023) -> -0.078 (2024) -> +0.333 (2025e) and net income -55.6M -> -4.0M -> +17.2M on revenue 502M -> 543M -> 678M (~+11-12%/yr). That swing from deep losses to profitability is driven precisely by the marketplace gross-margin expansion management attributes to the AI flywheel; reported 2025 marketplace GM is already ~35%. Q1 FY2026 at 34.7% (+290bps YoY) and '2026 higher than 2025' are consistent with — not clearly above — the ~+2.5pp/yr trend the covering analysts already extrapolate. Adopter est_rev_uplift_pct=0%; no quantified FY2026 margin or revenue materially beyond consensus, so the AI uplift is largely priced in.

MODEL CONSENSUS (impact)

partial

Xometry adopter-side AI = marketplace gross-margin flywheel; anchored bps deltas but undisclosed marketplace revenue split and GAAP losses block EPS%; ~0 topline, largely priced in.

Conflicts reconciled
FieldOpus 4.8GPT-5.5
Rev uplift %––
EPS uplift %––
Priced inhigh–
vs analystsinline–
Confidence5–
Top lineNo AI claim attaches a hard incremental-revenue dollar to the next fiscal year. The growth levers (>15% instant-quote coverage on injection molding, the Siemens Design Center integration) are real adoption drivers but unquantified — injection molding is a small subset and no revenue base is given. Net: topline AI uplift is not separately sizeable above the company's ~+10%/yr organic growth, so est_rev_uplift_pct = null.–
Bottom lineThe substantive AI lever is bottom-line: marketplace gross margin climbing 25%->~35% over 4 years (~+2.5pp/yr) and still expanding (+80bps Q4, +290bps Q1 FY2026), guided 'higher than 2025' for 2026. This is the credible AI/data-flywheel payoff. But two guardrails block a clean EPS%: (1) the company is loss-making on GAAP (NI -61.75M), so an EPS-uplift % is meaningless; (2) the marketplace revenue split needed to convert basis points into gross-profit dollars is not disclosed in any claim. Illustratively, ~+150bps on a ~$549M marketplace base would be ~$6.5M after-tax — roughly a third of the $17.2M adjusted net income consensus models for 2025 — material but already part of the margin trajectory analysts forecast. est_eps_uplift_pct = null.–
ReasoningConsensus already models the AI margin story: adjusted EPS swings -1.09 (2023) -> -0.078 (2024) -> +0.333 (2025e) and net income -55.6M -> -4.0M -> +17.2M, on revenue 502M -> 543M -> 678M (~+11-12%/yr). That swing from deep losses to profitability is driven precisely by the marketplace gross-margin expansion management attributes to the AI flywheel. Q1 FY2026 at 34.7% (+290bps YoY) and '2026 higher than 2025' are consistent with — not clearly above — the ~+2.5pp/yr trend the 5-7 covering analysts already extrapolate. No claim points to margin or revenue materially beyond consensus, so the uplift is largely priced in.–

Rows highlighted where the two models disagreed.

QUANTIFICATIONS
Lead time model training data scale vs prior model: 4x larger than its predecessor (Q1 FY2026 (current model vs predecessor), both)
“Our updated model leverages a training data set 4x larger than its predecessor and now integrates critical factors like specialized certifications, new materials and advanced finishing options.”
Instant quoting coverage for injection molding parts: over 15% (Q1 FY2026, topline)
“increasing instant coding of injection molding parts by over 15%.”
Marketplace gross margin attributed to AI/data flywheel: from 25% 4 years ago to approximately 35% in 2025 (approximately 4 years through 2025, bottomline)
“This continuous improvement has driven substantial and steady growth in our marketplace gross margins, moving from 25% 4 years ago to approximately 35% in 2025.”
Q4 marketplace gross margin (AI-native marketplace value framing): 35.3% (Q4 FY2025, bottomline)
“Q4 marketplace gross margin expanded 80 basis points year-over-year to 35.3%.”
Q1 marketplace gross margin: 34.7% (Q1 FY2026, bottomline)
“Q1 gross margin for Marketplace was 34.7%, an increase of 290 basis points year-over-year.”
Forward marketplace gross margin expectation tied to technological advancement: higher than 2025 (full year 2026, bottomline)
“We expect 2026 Marketplace gross margins to be higher than 2025 as each quarter of growth and technological advancement incrementally fuels margin performance.”
PAST (realized)
CURRENT (now)
FORWARD (guidance)
TRACK RECORD — PROMISE vs DELIVERY

91/100 track record   delivers  6 calls reviewed

Xometry rarely sets standalone AI KPIs; instead it ties ML pricing, matching, and automation to explicit financial and launch milestones—and consistently meets or beats them (gross margin, EBITDA leverage, growth, Thomas ad-tech rollout). No prior quantified AI target in this window was clearly missed or quietly dropped.

FY2025 marketplace gross margin to increase year-over-year (AI pricing/matching models) — promised Q1 FY2025
delivered Full-year 2025 marketplace gross margin expanded 120 bps YoY (Q4 FY2025), with record quarterly margins of 35.4%–35.7% through 2025.
Q2 FY2025 marketplace gross margin to recover to roughly Q2 FY2024 levels (~33.5%) via AI cost algorithms — promised Q1 FY2025
delivered Q2 FY2025 marketplace gross margin hit a record 35.4%, up 190 bps YoY and well above the Q2 2024 baseline.
~20% incremental adjusted EBITDA margin for full-year 2025 (automation/AI-led operating leverage) — promised Q1 FY2025
delivered Delivered ~21% incremental adjusted EBITDA margin in 2025 with $18.5M full-year adjusted EBITDA (Q4 FY2025).
Begin selling on new Thomas ad-server platform in Q3 2025 (NL search/ad-tech stack) — promised Q2 FY2025
delivered Launched dynamic ad serving in Q3 FY2025 and began selling to new customers; fully rolled out Thomas Smart Search + ad model in Q4 FY2025.
2025 marketplace revenue growth at least 22% (AI-powered marketplace) — promised Q1 FY2025
delivered Raised outlook repeatedly and delivered ~27–28% marketplace growth for full-year 2025 (Q3–Q4 FY2025).
Q1 FY2025 total revenue growth of 20%–21% YoY (AI marketplace acceleration) — promised Q4 FY2024
delivered Q1 FY2025 revenue grew 23% YoY, beating the guided range.
PRICED-IN (REFINED)
HIGH (already in)

Est. revisions rising  ·  Fwd P/E -77.8  ·  EV/Sales 6.3x

AI claim maps to Marketplace Revenue, Service

Analyst sentiment has drifted more constructive (buys up to 5 in Apr–May, holds down to 3) while price targets stair-step higher (lastYearAvg 63.25 → lastQuarter 75 → lastMonth 81.5), and forward revenue/EPS embed sharp improvement (2025 revenue ~$678M, EPS turning positive). At ~6.3x EV/Sales and ~5.9x P/S on ~$686M FY25 revenue, with the stock (~$85) above the recent target average, the market is already paying a growth/tech premium for AI-enabled marketplace and services efficiency. Plausible AI upside maps to Marketplace Revenue and Service, where consensus growth is already capitalized—rising revisions plus rich multiples support a high priced-in verdict.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
8Q4 FY20246Q1 FY20258Q2 FY20257Q3 FY20257Q4 FY20259Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

From ML pricing/matching and margin gains to gen-AI products, then AI-native positioning culminating in Siemens-validated core models.

RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY

8/10 qualitative impact   material  near-term · mixed evidence

Where AI matters: marketplace pricing, sourcing, and gross margin

Closed-loop ML on proprietary transaction data drives Instant Quote, matching, and lead-time models tied to marketplace gross margin expansion from ~25% to ~35% over four years and recent YoY gains, but there is no standalone AI revenue line and the margin trajectory is already embedded in consensus.

Caveats: AI margin gains largely priced into growth and ~6x EV/Sales; No isolated AI revenue or EPS attribution despite narrative depth; Competing AI-native marketplaces or OEM in-house quoting could compress differentiation

AI DISRUPTION / CANNIBALIZATION RISK  tailwind · 2/10

AI automates the broker layer Xometry sells rather than the physical manufacturing it routes; proprietary transactional data, supplier performance history, and fulfillment scale are hard for generic quoting or DFM tools to replicate, with only modest risk that commoditized instant-quote software narrows take-rate advantage.

OPTIONS / MARKET STRUCTURE

option liquidity: fair

ATM IV
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TYPICAL BID-ASK
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OPEN INTEREST
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proxy inputs — dollar-ADV $74M · beta 1.004 · px $85.00

source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.

CONFIRMATION — INSIDERS · 13F · LANGUAGE
Mixed — insiders selling, institutions adding, management language 7/10 committed.
INSIDERS selling 76 open-market sell(s) vs 1 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 44 new / 55 closed positions; 131 increased / 87 reduced; institutional ownership +1.61pp; -17 net 13F holders
MGMT LANGUAGE 7/10 committed AI is central; shipped models and metrics; Siemens integration still milestone-based.
commit “Our accelerating growth and record Q1 results demonstrate the success of our AI-native marketplace”
commit “Our updated model leverages a training data set 4x larger than its predecessor”
commit “In Q1, we made significant progress on proprietary core AI models.”
VERBATIM AI QUOTES
“Our accelerating growth and record Q1 results demonstrate the success of our AI-native marketplace in the massive, complex and highly fragmented custom manufacturing market.”
— Randolph Altschuler, Q1 FY2026
“today, we announced a strategic partnership with Siemens, the world's leading industrial software company, who is embedding Xometry's AI capabilities natively into Siemens Xcelerator and investing $50 million in Xometry Class A common stock to back that conviction.”
— Randolph Altschuler, Q1 FY2026
“this partnership puts Xometry's manufacturability, pricing and sourcing intelligence in front of Siemens' global customer base at the moment design decisions are made.”
— Randolph Altschuler, Q1 FY2026
“For those new to our story, Xometry has operated as an AI-native marketplace since its inception with data science, machine learning and core AI models integrated into operations.”
— Randolph Altschuler, Q1 FY2026
“Xometry's core AI models, which manage the custom orders to part manufacturing journey are trained on proprietary transactional data.”
— Randolph Altschuler, Q1 FY2026
“Xometry's proprietary pricing and sourcing models are embedded directly within live marketplace transactions, integrating digital quoting, supplier selection, production performance and delivery outcomes into a closed-loop learning system.”
— Randolph Altschuler, Q1 FY2026
“Each completed order strengthens future predictions, increasing accuracy, speed and reliability across the network.”
— Randolph Altschuler, Q1 FY2026
“The Siemens partnership is a strong external proof point that our core AI models are becoming the infrastructure for how the industrial world designs and sources parts.”
— Sanjeev Singh Sahni, Q1 FY2026
“In Q1, we made significant progress on proprietary core AI models.”
— Sanjeev Singh Sahni, Q1 FY2026
“First, we launched a new enterprise machine lead time model that represents a significant expansion of Xometry's predictive intelligence capabilities.”
— Sanjeev Singh Sahni, Q1 FY2026
“Our updated model leverages a training data set 4x larger than its predecessor and now integrates critical factors like specialized certifications, new materials and advanced finishing options.”
— Sanjeev Singh Sahni, Q1 FY2026
“the model enhances operational throughput by driving a reduction in standard lead time offerings and expanding rapid delivery to facilitate 1-day lead times across a growing catalog of materials and geometries.”
— Sanjeev Singh Sahni, Q1 FY2026
“Second, we enriched our pricing models to include greater personalization of customer pricing. We enhanced the dynamic pricing logic that powers the pricing intelligence layer of our Instant Quoting Engine.”
— Sanjeev Singh Sahni, Q1 FY2026
“We see this drive higher conversions, balance margin outcomes and drive higher overall growth while enabling better outcome for our customers.”
— Sanjeev Singh Sahni, Q1 FY2026
“increasing instant coding of injection molding parts by over 15%.”
— Sanjeev Singh Sahni, Q1 FY2026
“Xometry's proprietary AI-powered platform manages the full cycle of injection molding needs from instant quoting to delivery and reordering in one of the largest custom manufacturing markets in the U.S.”
— Sanjeev Singh Sahni, Q1 FY2026
“Insights we draw from suppliers' interactions on our platform give us significant sourcing insights to drive margin outcomes.”
— Sanjeev Singh Sahni, Q1 FY2026
“This quarter confirms our strategic path and the power of our AI-driven flywheel.”
— Sanjeev Singh Sahni, Q1 FY2026
“We are focused on driving increasing automation with AI across operations and support.”
— James Miln, Q1 FY2026
“Our disciplined execution has led to strong revenue and gross profit growth in our AI-native marketplace, coupled with significant operating leverage and increased operating cash flow generation.”
— James Miln, Q1 FY2026
“We expect 2026 Marketplace gross margins to be higher than 2025 as each quarter of growth and technological advancement incrementally fuels margin performance.”
— James Miln, Q1 FY2026
“part of our focus with the product-led growth has been to double down on the predictive intelligence capabilities that our proprietary AI model brings to us.”
— Sanjeev Singh Sahni, Q1 FY2026
“Our record Q4 quarter and record full year 2025 powerfully demonstrate the success of our AI native marketplace in the massive, complex and highly fragmented custom manufacturing market.”
— Randolph Altschuler, Q4 FY2025
“It is a pivotal time in manufacturing, driven by accelerating digital transformation, increasing customer demands for speed and transparency, rapid AI-driven innovation and the crucial need for resilient supply chains, including the push towards reshoring.”
— Randolph Altschuler, Q4 FY2025
“Xometry's AI native marketplace is digitizing how custom manufacturing is priced, sourced and fulfilled by replacing manual legacy processes.”
— Randolph Altschuler, Q4 FY2025
“Xometry provides a secure certified platform that facilitates AI-enabled sourcing with improved visibility into qualified domestic suppliers to meet the growing need for speed, scale and compliance.”
— Randolph Altschuler, Q4 FY2025
“The expansion of our marketplace gross margin underscores the significant economic value generated by our AI native marketplace.”
— Randolph Altschuler, Q4 FY2025
“Our competitive moat continues to increase as we grow our networks of buyers and suppliers and gain more data to continuously train our algorithms.”
— Randolph Altschuler, Q4 FY2025
“This continuous improvement has driven substantial and steady growth in our marketplace gross margins, moving from 25% 4 years ago to approximately 35% in 2025.”
— Randolph Altschuler, Q4 FY2025
“We expanded our marketplace capabilities, including AI-powered design for manufacturing or DFM, which utilizes machine learning and automated algorithms to identify and correct production issues early in the design phase.”
— Sanjeev Singh Sahni, Q4 FY2025
“We recently added the ability to interpret technical drawings within our AI DFM, further enhancing our proprietary data set.”
— Sanjeev Singh Sahni, Q4 FY2025
“Third, further raising the bar to deliver a world-class e-commerce experience through deeper integration of automated DFM analysis and AI-assisted customer and supplier workflows.”
— Sanjeev Singh Sahni, Q4 FY2025
“The growth in our marketplace gross margin underscores the significant value our AI-native marketplace is providing.”
— James Miln, Q4 FY2025
“We are focused on driving increasing automation with AI across operations and support.”
— James Miln, Q4 FY2025
“We expect 2026 marketplace gross margin to be higher than 2025 as each quarter of growth and technological advancement incrementally fuels performance in the subsequent quarters.”
— James Miln, Q4 FY2025
“I plan on developing across industry initiatives from a strategic vantage point, specifically where Xometry has a significant opportunity to become the essential platform for an industry that is rapidly moving towards a digital-first AI-powered model.”
— Randolph Altschuler, Q4 FY2025
“Xometry has been an AI native marketplace for inception. So use of data science, machine learning and foundational models has been key.”
— Sanjeev Singh Sahni, Q4 FY2025
“We are investing in AI marketing capabilities internally, but continue to strengthen where we are with those efforts.”
— Sanjeev Singh Sahni, Q4 FY2025
“I think the improvement in our margins reflects our AI approach. We're training our models. Our algorithms are improving as we get more and more data, we get more and more accurate.”
— Randolph Altschuler, Q4 FY2025
“So improving the analysis around the DFM piece that we were talking about before. So it acts as a mechanism for us to get real-time data back from the manufacturing flows coming back into our models and helping us improve those.”
— Sanjeev Singh Sahni, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Andrew Boone (Citizens Bank)): as we think about AI just in terms of a bigger picture view as a tool that you guys are now inserting across the business. Can you talk about this very specifically within the Instant Quote engine? What is that unlocked in terms of accuracy or any other benefits you guys want to highlight as we think about the evolution of what Instant Quote can be?
A: Sanjeev Singh Sahni: part of our focus with the product-led growth has been to double down on the predictive intelligence capabilities that our proprietary AI model brings to us. I mentioned on the call that over the last several cycles, we've been focused on improving and expanding the model itself. Our updated model leverages the training data set, which is now 4x larger than its predecessor and even integrates new factors that actually help us price better, be more specific to new materials, even have advanced finishing options, which we continue to see more and more of as a need from our customers. Truly, I think this is most exciting for our enterprise customers whose needs are super expansive, but also to make sure that they now can come to us with a trust that we'll be able to deliver irrespective of the need.