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Securitize
2026-08-20 10:03:20

Securitize hits $4.3 billion in tokenized assets, but quarterly revenue slips and adjusted EBITDA turns negative

Securitize’s first quarterly earnings report since listing showed a sharp disconnect between platform scale and financial performance. Average tokenized assets under management rose to a record $4.3 billion, up 16% from a year earlier, while transaction volume jumped 147% to $5.3 billion. Yet total revenue fell 5% year over year to $14.4 million, tokenization revenue dropped about 12% to $7.8 million, and adjusted EBITDA swung to a $5.5 million loss. Chief Financial Officer Francisco Flores said revenue tied directly to assets under management remains minimal and that most platform transaction volume is still not monetized. He added that most tokenization revenue continues to come from onboarding new protocols and expanding business relationships, while asset servicing revenue rose 3% to $6.6 million. The results have drawn attention to a broader issue in the tokenization sector: moving more assets on-chain does not automatically create recurring, scalable revenue. Comments cited in the report from Brickken CEO Edwin Mata and Moon Pursuit Capital founder Utkarsh Ahuja point to the same concern. The market has shown that institutions are willing to tokenize real-world assets, but the underlying infrastructure business model is now facing closer scrutiny, especially around revenue quality, retention, margin improvement, and long-term monetization.

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Securitize hits $4.3 billion in tokenized assets, but quarterly revenue slips and adjusted EBITDA turns negative
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Goldman Sachs
2026-08-12 06:58:46

Goldman Sachs' Peter Callahan Says Software AI Narrative Is Shifting

Goldman Sachs' TMT trading specialist Peter Callahan said on August 12 that the AI narrative within the software sector is shifting after the latest earnings season. While the market previously feared generative AI would erode traditional software companies' moats, data infrastructure and developer tools companies are now seeing the pendulum swing from "AI headwinds" to "AI tailwinds." Firms including Cloudflare, Palantir, Datadog, Twilio, and Atlassian have drawn more attention, while traditional SaaS application vendors still need to prove they can establish a similarly clear AI-beneficiary logic. Callahan attributed the change to AI commercialization extending from model training into inference, agents, and automation applications. Cloudflare disclosed that non-human traffic has surpassed human traffic and projected that machine-generated web requests will keep growing rapidly if current trends hold. The implication is that AI is not necessarily just a replacement for software companies; platforms carrying data, APIs, web traffic, security, and developer tools may see growing agent counts and call frequencies become new demand sources. The software sector is now showing clear divergence: whether AI is a tailwind increasingly depends on whether a company sits in the application or infrastructure layer, and whether it can directly monetize AI-related traffic growth. (Source: BlockBeats, Jinshi)

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Goldman Sachs' Peter Callahan Says Software AI Narrative Is Shifting
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