Newsletter

BlackRock’s new tokenized fund puts Ethereum’s institutional thesis to the test

+ data & product updates

•
BlackRock’s new tokenized fund puts Ethereum’s institutional thesis to the test

Each week in The Snapshot, we share data-driven insights, highlight new listings, and showcase our latest product updates.

Read on for the latest edition 👇

BlackRock’s OnChain Shares filing adds another regulated, cash-equivalent product to Ethereum’s institutional pipeline.

The proposed share class would tokenize ownership in BlackRock’s Select Treasury Based Liquidity Fund, which holds cash, short-dated U.S. Treasuries, and Treasury repo. The fund would not hold crypto assets. Ownership would be represented through ERC-20 tokens on Ethereum, with transfers limited to whitelisted wallets.

The design gives institutions access to Ethereum’s 24/7 settlement rails while keeping ownership and transfers permissioned. Ethereum is getting the first shot. The harder question is whether that first shot becomes retained institutional AUM and app-layer activity.

1) Institutional issuance

  • OnChain Shares extends Ethereum’s institutional issuance wave. Tokenized fund AUM on Ethereum has grown to $19.3B, with BlackRock, J.P. Morgan, Fidelity, and other large issuers using Ethereum as an early venue for regulated tokenized funds.

  • Venue choice depends on liquidity, brand, and strategic fit. Like public listings across NYSE and Nasdaq, institutional tokenization venues can segment by reputation, market structure, and audience. Ethereum’s edge is that the liquidity and institutional activity are already there.

  • Issuance still needs to become durable liquidity. Launches put assets onchain; lasting value comes from collateral usage and repeat institutional transactions. That is the real test for Ethereum.

2) Stablecoin reserves

  • Ethereum holds the onchain dollars BlackRock wants to reach. Ethereum accounts for $179.2B (58%) of the $308.6B stablecoin supply across the top 40 chains, making it the largest pool of stablecoin reserves.

  • OnChain Shares is built for institutions managing large pools of onchain cash. Stablecoin issuers need compliant, yield-bearing assets that can function as reserves and move 24/7. The same logic applies to funds, fintechs, and other power users of money.

  • The AUM opportunity explains the Ethereum choice. Issuers go where monetizable demand already exists. Capturing even a small share of Ethereum’s stablecoin reserve base could make OnChain Shares a meaningful AUM channel for BlackRock.

3) The direct impact

  • More tokenized fund AUM can mean more Ethereum fees, but only with velocity. Ethereum leads tokenized funds by value transferred, but fee revenue depends on transfer count rather than transfer volume.

  • BUIDL shows how low current velocity still is. BlackRock’s existing permissioned tokenized fund on Ethereum recorded 727 transfers over the last 30 days, despite being one of the largest tokenized Treasury products on the network.

  • Direct fee impact remains modest without much higher transfer counts. At roughly $0.40 per transfer, BUIDL’s monthly transfer activity implies less than $300 in fees. Even 10,000 daily transfers would generate only about $4,000/day, or roughly $1.5M annualized. Usage can scale before monetization catches up, but Ethereum still needs activity, a revised fee structure, or both to translate AUM into meaningful direct economics.

4) The app layer

  • Applications may capture more of the near-term upside. Regulated, yield-bearing assets could become collateral inside lending and derivatives apps.

  • Aave and Lighter are relevant examples. Aave can monetize collateral through borrowing activity, while Lighter and other derivatives venues can use cash-like collateral for liquidity. Their business models are more directly tied to collateral usage than Ethereum’s base-layer fee model.

  • Collateral can create an app-layer flywheel. More collateral gives apps larger markets to lend against and trade with. Better app markets attract more builders, use cases, and issuers, which can bring more collateral onchain.

5) The roadmap test

  • Stablecoin growth gives a scale reference for tokenized funds. U.S Treasury Secretary Scott Bessent has said stablecoins could grow from roughly $300B today to $3T by 2030. Today, Ethereum hosts $19.3B in tokenized funds and $179.2B in stablecoins, meaning tokenized funds are equal to about 10.7% of Ethereum’s stablecoin base.

  • The scenarios scale that ratio into a larger stablecoin market. If Ethereum kept its current ~58% share of stablecoins in a $3T market, that would imply about $1.7T of stablecoins on Ethereum. A 6%, 15%, or 30% tokenized-fund ratio would equal roughly $100B, $250B, or $500B.

  • Retention depends on Ethereum’s roadmap. OnChain Shares-style products could push the tokenized-fund / stablecoin ratio higher if issuers hold more reserves in tokenized funds onchain. But there is no permanent brand loyalty in infrastructure markets. Keeping that AUM depends on Ethereum shipping practical upgrades. Glamsterdam, expected in H1 2026, should help the L1 keep scaling through parallel transaction execution. Hegotá, expected in H2 2026, may include proposed EIP-8182 for private transfers. Scaling matters as activity grows; privacy is likely to matter more for institutional usage.

Explore the full dataset here.

Most projects with liquid tokens do not provide regular, standardized reporting to their stakeholders. Token Terminal's reporting initiative exists to close this gap, giving investors the data to evaluate onchain businesses on fundamentals rather than narratives alone.

Token Terminal publishes standardized quarterly reports covering key financial and operational metrics alongside qualitative commentary from the respective core team. Quarterly reports are now rolling out for Q1 2026.

Featured report: Pendle Q1 2026

More from Q1 2026

“From our perspective, Q1 showed that Cash is becoming a real-world utility product, not just a crypto-cycle product.”

“There is a structural shift in how institutions interact with DeFi, and the growth of some of the early curators alongside the emergence of new curators coming from a more traditional finance background is welcomed.”

“The shift toward tokenized asset volume, which nearly tripled QoQ to $224.86m, represents an intentional strategic direction.”

“The key signal is that capital became more productive, not less. While TVL declined alongside broader market deleveraging, fee generation remained nearly flat.”

“TRON's stablecoin supply reached a new all-time high in Q1, averaging $84.54 billion over the quarter and closing March at levels that reflect continued, broad-based demand for stablecoin settlement on the network.”

If you're evaluating how to formalize your project's data and reporting strategy, get in touch.

Platform updates

Interested in getting listed? Read more here.

The latest from our engineering blog:

How we apply dimensional modeling to onchain data

Onchain is an open design space. Any developer can build any smart contract architecture and name their events however they want. As a result, creating standardized metrics across protocols is inherently challenging.

Dimensional modeling, the framework Ralph Kimball codified in 1996, has been the standard answer in traditional analytics for thirty years. This post applies it to onchain data.

Sky serves as the worked example, chosen for its complex architecture and deliberately strange vocabulary (vaults are "urns", collateral types are "ilks", balances are "ink"). The walkthrough follows the Kimball process:

  • Define the business process being modeled

  • Set the grain of the data (what a single row represents)

  • Build dimension tables for descriptive context

  • Build fact tables for numeric measurements

This process allows us to standardize metrics across 100+ blockchains, 1,200+ protocols, and 4,000+ tokenized assets. While crypto's design space is open, the data we publish is derived from the same dimensional model institutional finance has used since the 1990s.

Why onchain data needs an entity taxonomy

When you analyze a public company, the taxonomy exists outside the company itself. SEC filings standardize the disclosure. GAAP defines the line items. GICS classifies the sector. Onchain has none of that. Most crypto data providers built their taxonomy on technical primitives: blockchains, accounts, smart contracts, tokens. If the goal is comparable financial metrics, this is the wrong starting point.

Token Terminal built an entity taxonomy that matches how a financial analyst already thinks. Six entity types form the skeleton: projects, chains, market sectors, products, assets, and metrics.

Every metric follows a three-step standardization:

  • A canonical definition modeled on traditional finance

  • A project-specific interpretation

  • A value flow mapping to smart contracts

The post walks through Aave (lending), Uniswap (exchanges), and Circle (stablecoin issuers) to show how the same metrics apply across architecturally different businesses.

The cost of not having this mapping falls on whoever is interpreting the data. A human analyst has to reconcile vocabulary by hand across every comparison. An AI agent has to reconstruct the semantic layer from raw tables on every query, which is where hallucinations come from.

Token Terminal has spent five years building that layer. Try our MCP server to query it through any LLM-powered tool.

The authors of this content, or members, affiliates, or stakeholders of Token Terminal may be participating or are invested in protocols or tokens mentioned herein. The foregoing statement acts as a disclosure of potential conflicts of interest and is not a recommendation to purchase or invest in any token or participate in any protocol. Token Terminal does not recommend any particular course of action in relation to any token or protocol. The content herein is meant purely for educational and informational purposes only, and should not be relied upon as financial, investment, legal, tax or any other professional or other advice. None of the content and information herein is presented to induce or to attempt to induce any reader or other person to buy, sell or hold any token or participate in any protocol or enter into, or offer to enter into, any agreement for or with a view to buying or selling any token or participating in any protocol. Statements made herein (including statements of opinion, if any) are wholly generic and not tailored to take into account the personal needs and unique circumstances of any reader or any other person. Readers are strongly urged to exercise caution and have regard to their own personal needs and circumstances before making any decision to buy or sell any token or participate in any protocol. Observations and views expressed herein may be changed by Token Terminal at any time without notice. Token Terminal accepts no liability whatsoever for any losses or liabilities arising from the use of or reliance on any of this content.

Stay in the loop

Join our mailing list to get the latest insights!

Subscribe to our weekly newsletter

Actionable insights you can’t get elsewhere.
© 2026 Token Terminal