You keep seeing "private credit" cited as the largest slice of tokenized real-world assets, and it is worth understanding what that actually means. It is not a building split into shares, and it is not a Treasury fund. It is a loan book. Capital from token holders is pooled and lent out to borrowers, and the holders earn the interest, which is a genuinely different thing from owning a productive asset. This guide explains what it is, why the headline number is quoted across such a wide range, the main platforms, the appeal, the real risks, and how it differs from a business tokenizing its own asset to raise capital.
Tokenized private credit is on-chain private lending: capital from token holders is pooled and lent to businesses or borrowers, and holders earn the interest. It is the single largest category of on-chain real-world assets, quoted anywhere from the low-teens to around $19 billion depending on whether you count active loans or cumulative originations. It is not a claim on a productive asset you own, it is a loan book, and the yield comes with real credit risk.
Here is how it works, the main platforms, and what to watch.
That last line in the box is the one to hold onto. The reason private credit is the biggest RWA category and yet gets so little attention next to tokenized real estate or gold is that it does not look like the thing most people picture when they hear "real-world asset." There is no photo of a building. What you are actually buying is a slice of a lending operation, and the return is the interest borrowers pay on their loans, minus whatever does not get repaid.
So the useful frame is a private credit fund that happens to issue its units as tokens on a blockchain. Everything that is true of private lending in the traditional world, the yield being real, the risk being real, the money being locked up while the loans run, is true here too. The blockchain changes how the units settle and move; it does not change what the instrument is underneath.
The mechanics are simpler than the marketing makes them sound. A platform runs a lending vehicle, usually called a pool. Token holders deposit capital into that pool. The capital is lent out to borrowers, and the borrowers pay interest on what they borrow. That interest, after fees and after any loans that go bad, flows back to the holders as yield. When you hold the token, you hold a proportional interest in the pool's loan book.
Who the borrowers are depends on the platform. Common categories include fintech lenders that on-lend to their own customers, small and medium enterprises, trade finance (funding goods in transit or receivables), and consumer credit. Some pools lend against collateral, which is a very different risk profile from lending on a borrower's promise alone, and it is one of the first things worth checking about any given pool.
Two structural details matter for what you are actually taking on. The first is pooling: your capital is mixed with everyone else's and spread across the pool's loans, so you are exposed to the pool's blended performance rather than to any single loan you chose. The second is tranching, which not every platform uses. In a tranched structure the pool is split into a senior tranche and a junior tranche. The senior tranche is paid first and takes losses last, so it earns a lower yield. The junior tranche earns a higher yield precisely because it absorbs the first losses when borrowers default. If you are shown a headline yield, it is worth knowing which tranche it belongs to, because a junior yield and a senior yield are not comparable numbers.
Private credit is routinely presented as the single largest category of on-chain real-world assets, and as of mid-2026 the figure gets quoted anywhere from the low-teens of billions to around $19 billion. Treat any of these as a snapshot and verify the current number, because it moves and it depends heavily on the source.
The wide range is not sloppiness. It reflects a genuine definitional gap: active outstanding loans are one number, and cumulative originations are a much larger one. A tracker that counts only the loans currently live and unpaid will show a smaller figure than a tracker that counts every loan a platform has ever originated, including the ones already written and repaid. A large share of the headline private-credit total is exactly that origination-and-repayment flow, driven by lender-issuers such as Figure, whose home-equity lending writes and closes loans continuously. Counting the flow makes the category look far bigger than the pile of loans that are live at any one moment.
There is a second wrinkle worth being honest about. On a strict distributed-asset-value view, such as the breakdown in the RWA market-size guide on this site, tokenized US Treasury debt shows up as the largest single slice and the active on-chain credit sub-buckets are individually smaller. So whether private credit is literally the number-one category or is neck-and-neck with tokenized Treasuries depends on which tracker you read and what it chooses to count. Both framings are defensible; they are measuring different things. What is not in dispute is that private credit is one of the two dominant categories on-chain, and it is large.
The category-wide version of this argument, that the RWA headline is mostly finance being moved on-chain rather than real businesses raising against their own assets, is laid out in the roast "RWA passed $32 billion, almost none of it is a real-world asset", which walks through the Figure origination point and the active-versus-cumulative gap in detail. If you want the number behind the headline properly unpacked, start there and with the market-size guide, and take every figure as of mid-2026, verify current.
"Tokenized private credit" is a category, not a single product, and the platforms inside it run meaningfully different models. What follows describes those models. It is not a ranking, not a recommendation, and not a price call on any token. Nothing here is investment advice.
Maple is an institutional on-chain lending platform, with a retail-facing arm branded Syrup. Depositors provide capital that is lent to institutional borrowers, and today the model is overcollateralized, meaning borrowers post collateral worth more than they borrow. That was not always the case, and the history is the single clearest reminder in this category that credit risk is real. In 2022, when Maple ran an uncollateralized model, a set of borrowers failed, and the protocol booked roughly $54 million in defaults. Depositors in the affected pools took heavy losses and the protocol's assets collapsed before the team rebuilt it as overcollateralized-only and grew it back to billions in scale. The full account, including what the marketing tends to leave out, is in the Syrup and Maple review. The point of raising it here is not to single Maple out, it is that a headline default of this size happened to one of the most prominent names in the space, and it can happen again anywhere the borrowers are not good for the money.
Centrifuge structures on-chain credit pools that finance real-world receivables and assets, often with a tranched senior-junior structure so different investors can sit at different points on the risk curve. It is closer to structured credit than to a simple deposit-and-earn pool, which means the structure itself is part of what you need to understand before judging a yield.
Goldfinch pools capital and lends to credit businesses, historically with an emphasis on lenders operating in emerging markets. The model relies on the underlying borrowers and the diligence around them, so here as everywhere the questions are who is being lent to, on what terms, and how well you can actually see it.
Figure is a different animal from the pooled DeFi platforms. It is a lender that originates its own loans, primarily home-equity lines, and records them on-chain. Because it writes and repays loans at high volume, its cumulative originations are large, and Figure is a big reason the headline private-credit number reads so high on trackers that count originations rather than live balances. It is a useful example of why the category total needs reading carefully: a lot of the size is one lender's throughput, not a static book of loans sitting on-chain waiting for you to buy into.
Across all of these, the same short list of questions does most of the work: what is being lent, to whom, whether it is collateralized, how losses are shared between tranches, and whether the yield you are shown is base lending yield or base yield dressed up with token incentives. The 9-point due diligence checklist is the structured version of that same instinct.
The reason this category is the size it is, is that the appeal is genuine. The yield comes from real interest paid by real borrowers, not from token emissions or a farming scheme that pays you in freshly minted supply. That makes it one of the few places in crypto where the return has an economic source you can point to: a business borrowed money and paid to use it.
And that yield typically sits above what short-term Treasuries pay, because lending to a fintech or an SME carries more risk than holding US government paper, and the extra risk is compensated with extra yield. For capital that is already on-chain and looking for a return backed by cash flow rather than by speculation, private credit is a rational place to look. This is the honest half of the story, and it is why serious money has moved into the category.
The one caution on the appeal, which leads straight into the risks, is what a headline APY is actually made of. On several platforms the advertised rate blends the base lending yield with token rewards or lockup multipliers, so the portion backed by loan cash flow is lower than the banner suggests. The base yield is the real, repeatable number. The token-reward top-up is a subsidy that can be cut. Judge the base yield, and judge whether it is fair pay for the risk you are about to read about.
None of these risks make private credit a bad category. They make it a category with a price, and the yield is that price. The mistake is not taking the risk, it is taking it without knowing you are being paid to.
This is the core one. Borrowers can and do fail to repay, and when they do, the loss lands on the pool and therefore on you. This is not a tail scenario invented to sound careful. The roughly $54 million of defaults at Maple in 2022 is a documented episode where real depositors lost real money because borrowers did not pay, and it happened to a top-tier name. Every yield in this category is compensation for the chance that some of the loans behind it go bad.
Your capital is locked in loans that mature over time. Unlike a tokenized Treasury fund, which is built for near-instant redemption, a private credit position generally cannot be exited on demand, because the money is out working as loans. You may face notice periods, queues, or simply have to wait for loans to mature. Assume your capital is committed, not parked.
The token settles on-chain, but the loans and the borrowers behind them often do not live fully on-chain. How well can you actually verify who was lent to, on what terms, and how the book is performing? On some platforms the reporting is strong; on others you are trusting a dashboard. The gap between "on a blockchain" and "verifiable by you" is where a lot of the real risk in this category hides.
If the pool is tranched, the junior tranche takes the first losses so the senior tranche can be protected. A junior yield looks attractive precisely because it is standing in front of the defaults. That can be a perfectly reasonable trade, but only if you know you are in the junior position and are being paid enough for it. Being in the junior tranche without realizing it is one of the more expensive misreadings available here.
This is the one that ties the whole guide together. You own an interest in a lending pool, not a claim on a specific hard asset. There is no building, no battery, no plant that your token maps to. If the loan book performs, you earn interest; if it does not, there is no underlying object you can point to and recover against in the way an asset-backed token holder can. What you own is the performance of a book of loans, and that is a fundamentally different thing from owning a piece of a productive asset.
The one line to remember: yield is not free, it is paid for credit risk. A private credit yield above Treasuries is not a better deal for the same risk, it is a fair-or-unfair price for taking more risk. The whole skill in this category is judging whether the extra yield actually covers the extra risk, because the platform is only obliged to show you the yield, not to price the risk honestly for you.
Private credit, a tokenized Treasury, and an asset-backed real-asset token all get filed under "RWA," and they are three different things with three different risk profiles. The table sets them next to each other on the four questions that actually decide what you are holding.
| Instrument | What you own | Source of return | Main risk | Liquidity |
|---|---|---|---|---|
| Tokenized private credit | An interest in a pooled loan book, not a specific asset | Interest paid by borrowers | Credit / default risk on the borrowers | Low. Capital locked in loans until they mature |
| Tokenized Treasury | A share of a fund holding short-term US government debt | The T-bill yield the fund earns | Very low credit risk; mainly rate and issuer risk | High. Built for near-instant redemption at par |
| Asset-backed real-asset token | A direct claim on a specific asset's cash flow, via an SPV | The asset's own income (rent, energy, sale) | That asset's risks (vacancy, price, operator) | Low. Typically hold-to-maturity, permissioned |
The column that separates them is "what you own." A tokenized Treasury is a claim on government paper. An asset-backed token is a claim on a named productive asset. Private credit is a claim on the performance of a loan book, which is neither of those: it is the closest of the three to a business risk, because you are effectively a lender, and lenders get paid only if their borrowers do. How a token can be a claim on a specific asset rather than a pool or a protocol is drawn out in the guide on what a token actually gives you a claim to, and the tokenized Treasury side is covered in the tokenized Treasury guide.
There is one distinction worth keeping very clean, because the two ideas get blurred constantly and they point in opposite directions. Tokenized private credit is lending from the crowd to borrowers. Token holders supply capital, and it flows out as loans to businesses that are not the platform and not the holders. The holders are the lenders; the yield is interest; the risk is that the borrowers do not repay.
A tokenized real-asset raise is the mirror image. It is a business tokenizing its own productive asset, a building, a battery, a plant, to raise capital against that asset. The capital flows to that one business, and what investors receive is a claim on that specific asset's cash flow, held through a special-purpose vehicle. The investor is not a lender to a pool of strangers, the investor owns a defined interest in a named thing that the operating business runs.
Those are genuinely different propositions. In private credit, your outcome depends on a book of borrowers you will mostly never see. In a real-asset raise, your outcome depends on one asset you can diligence, value, and hold to a defined exit. Neither is automatically better, but conflating them leads people to expect the safety of a hard asset from what is actually a loan book, or to dismiss a real-asset raise because they have mentally filed it next to unsecured lending. Keep them separate. This site works the real-asset side, structuring raises where the token is a claim on a specific asset rather than an interest in a lending pool.
If you own a productive asset and are deciding between borrowing (private credit and its cousins) and raising equity-style capital against the asset itself, a strategy session works the numbers and the structure for your specific case. No pitch, no obligation.
Book a strategy session →Tokenized private credit is a real category with a real yield and real credit risk, and it is a different animal from raising capital against an asset you own. If you run a business with a productive asset and want to think through the raise properly, the borrow-versus-raise decision, the structure, and what an investor would actually hold, a strategy session is the place to do it. No pitch, no obligation.
On-chain private lending. Capital from token holders is pooled and lent to businesses or borrowers (fintechs, SMEs, trade finance, consumer credit), and the holders earn the interest the borrowers pay. When you hold the token you hold an interest in a loan book, not a specific hard asset, and the return carries the borrowers' credit risk. Some pools are split into senior and junior tranches, where the junior earns more but absorbs the first losses. See section 02.
It is routinely cited as the single largest category of on-chain RWA, and as of mid-2026 the figure is quoted from the low-teens to around $19 billion (verify current). The wide range is a real definitional gap: active outstanding loans are one number, cumulative originations (including lender-issuers like Figure writing and repaying loans) are much larger. On a strict distributed-asset-value view, such as this site's market-size guide, tokenized Treasuries show as the largest single slice, so whether private credit is literally number one depends on the tracker. See section 03.
It is not safe the way a tokenized Treasury is, because the yield is pay for credit risk. The risks are default (borrowers fail to repay, as in Maple's ~$54M of 2022 defaults), illiquidity (capital locked in loans), transparency (how well you can verify the underlying loans), tranche risk (junior takes first losses), and the token-versus-loan-book distinction (you own an interest in a pool, not a hard asset). See section 06.
The most cited are Maple Finance (institutional overcollateralized lending, retail arm Syrup), Centrifuge (structured on-chain credit pools), Goldfinch (pooled lending to credit businesses), and lender-issuers like Figure (home-equity lending that drives much of the headline number via originations). Each runs a different model, so read the structure rather than the label. This guide describes the models and makes no price call on any token. See section 04.
The base lending yield is real, coming from interest paid by actual borrowers, and it typically sits above short-term Treasury yields because lending carries more risk than holding government paper. The check is what a headline APY is made of: on several platforms the advertised rate blends base yield with token rewards, so the sustainable, cash-flow-backed portion is lower. Strip out the incentives and judge whether the base yield fairly pays for the credit risk. See section 05.