Xometry’s Q2 2026: AI-Native Growth, Strong Cash Position, and a Quiet EBITDA Smile

Xometry, Inc. (NASDAQ: XMTR) delivered its second-quarter 2026 results with a clear headline: revenue climbed to $229 million, a 41% year-over-year rise, as the AI-native marketplace continues to scale its network of buyers and suppliers. The release highlights strong marketplace growth—about 45% YoY—along with double-digit gross profit expansion and a modest Adjusted EBITDA beat. There’s no explicit EPS figure in the press materials, and consequently no traditional “earnings surprise” to report against an EPS consensus. Still, the cash stack looked sturdy, and the company notes a June equity offering that bolstered liquidity. In other words, the arithmetic is leaning toward growth with improving leverage, even if the street is left guessing about per-share profitability for the moment.

Key metrics at a glance

Ticker: XMTR (NASDAQ)
Quarterly revenue: $229 million, +41% YoY
Marketplace revenue growth: +45% YoY
Gross profit: $87.2 million
Adjusted EBITDA: $14.1 million
Cash and cash equivalents: $517 million
Notable financing activity: June equity offering strengthened the balance sheet
Management commentary: Emphasis on expanding buyer/supplier networks, AI-native experiences, and enterprise engagement

The story behind the numbers

Xometry’s quarterly narrative centers on scale through its marketplace network. The company frames Q2 as evidence that its product-led growth and AI-enabled marketplace experiences are translating into measurable top-line gains. The 41% revenue uptick reflects ongoing demand for custom manufacturing and the platform’s ability to connect buyers with a broader set of suppliers, a dynamic the company calls “infrastructure for custom manufacturing.”

Profitability metrics suggest a dual story: gross profit expanded alongside revenue, while Adjusted EBITDA rose in absolute terms—yet the magnitude of profitability on a per-share basis remains contingent on non-GAAP adjustments and the ongoing path to operating leverage. The absence of a disclosed EPS figure in the release means investors are left to evaluate profitability through non-GAAP lenses rather than a traditional GAAP per-share line item. In that sense, there is no readily observable earnings surprise against an EPS consensus, at least not from the information provided.

The company’s June equity offering—reported as a strengthening of the balance sheet—adds a cash buffer to support ongoing network growth and potential capacity investments. The press release ties cash to its strategic posture: expanding networks, deepening enterprise engagements, and continuing to leverage services opportunities as it scales.

From the top

“Our product-led growth strategy drove record results in the second quarter, accelerating marketplace growth to 45% year-over-year. We further improved our proprietary AI models and marketplace experience, driving strong buyer growth and increasing wallet share in larger accounts,” said Sanjeev Singh Sahni, CEO at Xometry.

“Revenue growth accelerated for the fourth quarter in a row in Q2. This accelerating top line was paired with yet another quarter of improved adjusted EBITDA profit margins, up 380 points year-over-year to 6.2%,” said James Miln, CFO at Xometry. “Our successful equity offering in June further strengthened our balance sheet, ending Q2 with $517 million in cash and cash equivalents.”

What this might portend for XMTR and peers

The focus on AI-native marketplaces could continue to yield top-line momentum even as profitability metrics fluctuate in the near term. Investors will watch whether Adjusted EBITDA margins sustain incremental expansion as the company scales its network and deepens enterprise engagements.
The June equity financing provides liquidity runway; however, market observers will assess dilution versus growth, especially as the company funds network expansion and potential service opportunities.
Industry peers in the custom-manufacturing and on-demand production space face a similar dynamic: growing marketplaces can lift revenue quickly, but translating that into per-share profitability will rely on operating leverage, scale efficiencies, and monetization of services beyond core marketplace gross profit.
Absent a disclosed EPS figure and formal revenue forecast, investors may anchor expectations on the trajectory of revenue growth, gross margin progression, and cash generation—and on how the AI toolkit translates into wallet share across larger accounts.

Takeaways and eye on the sector

XMTR’s quarter underscores a fearless belief in the idea that software-like marketplaces can become essential infrastructure for manufacturing. The narrative isn’t purely about volume—the quality of the network and its AI-native enhancements appear to be driving stronger top-line momentum, with a parsimonious approach to EBITDA in the near term. In the broader ecosystem, this suggests a trend where “infrastructure as a service” for manufacturing—rather than just parts or components—could gain traction as buyers seek speed, transparency, and scale in a historically fragmented market.

For peers, the signal is clear: investors reward scalable networks that can convert marketplace activity into meaningful cash generation and debt-light balance sheets. The challenge remains turning that growth into durable per-share profitability and a predictable revenue forecast that satisfies scrutiny from EPS-focused investors. In the near term, XMTR’s path looks like a textbook example of growth-at-scale, tempered by the realities of converting new liquidity into sustained profitability.

Bottom line

Xometry’s Q2 2026 results reiterate a company well-positioned in an expanding AI-enabled marketplace for custom manufacturing. Revenue growth is robust, the marketplace is expanding rapidly, gross profits are rising, and liquidity is reinforced. The absence of a disclosed EPS figure invites investors to focus on non-GAAP profitability and cash generation as indicators of future performance. As XMTR continues to anchor a growing ecosystem of buyers and suppliers, sector peers will watch closely to see if this model of AI-native scale can translate into sustained earnings power—and perhaps a more explicit revenue forecast in the quarters ahead.