Ondo’s growth has stagnated over the past five months, despite the rapid growth they saw in their first eight months following inception, reaching $200M TVL by September 2023. In particular, tokenization and RWA protocols have been pushed to the background over the past few months, as markets have become more risk-on.
Despite their stifled growth, Ondo is still the third largest tokenized government security protocol, behind Franklin Templeton and Mountain Protocol, with $126M across their OUSG and USDY products.
In addition, Ondo’s recent move into the broader tokenized asset space through Ondo GM could potentially be very beneficial for the protocol. So far, non-debt related tokenized assets, such as tokenized stocks and equities, have not done well. Tokenized equities and private equities represent less than 0.03% of the RWA and tokenized asset space onchain. One of the reasons for this is because liquidity for tokenized equities onchain is low, and because protocols usually attempt to first bring in liquidity onchain, which is costly and difficult due to regulations. Ondo GM attempts to partially reduce these inefficiencies through their model, by allowing onchain users to tap into offchain liquidity, while still considering regulatory concerns, since users need to KYC for Ondo GM.
Even if tokenized equities do not become popular this cycle, the tokenization narrative is likely to do so, given that the most immediate application of L1s and blockchains according to traditional financial players is that they offer transparent, auditable and quick settlement, execution and transactions. One of Ondo’s biggest advantages is that it focuses exclusively on tokenized assets, and is attempting to own the entire stack: tokenized debt (OUSG, USDY), tokenized DeFi platforms (Flux Finance and Ondo GM) and tokenized equities (Ondo GM). It’s likely that Ondo will become the household name for tokenized assets, given their exclusive focus on RWAs and tokenization.
Boccaccio leads coverage on gaming, consumer apps, alt-L1s and modular ecosystems.