How can you build an XRP valuation model that isn't a price target?

The full answer

What layers does an XRP capacity model have?

The model has three layers, built in order.

The first layer is physical allocation. It records where XRP sits: ETF custody, treasury companies, liquidity pools, lending, collateral accounts, market-maker inventory, long-term holdings and the float that remains free to trade. XRP that is locked up is subtracted here, before anything is multiplied.

The second layer is financial utilization. For each bucket it records how hard the XRP works: turnover, loan-to-value limits, haircuts, hedge ratios and lock-up periods.

The third layer is economic activity supported: settlement, stablecoin exchange, collateralized trading and credit that the first two layers could carry.

The core relation is: available XRP capital × turnover × financing efficiency = activity capacity. Settlement-capture scenarios, such as 1%, 5%, 10% or 20% of global settlement, come only after the three layers are filled in. They test whether measured capacity could meet a given flow. The page on how much XRP liquidity it would take to settle a share of global payments works through that side of the question.

Why is this not a price target?

A price target picks a price and looks for reasons to reach it. A capacity model solves for the XRP capital a given flow would use, at turnover and collateral terms that can be observed. Its output is an amount of XRP and a range of activity, not a price. Getting from there to a price needs more assumptions about who must own the XRP and for how long, which is where analysts’ XRP price forecasts diverge.

It also differs from per-coin payment-share models. Those divide a share of payment flow by the coin supply. The capacity model asks how much XRP that flow would tie up once turnover and financing are counted. Because one XRP can serve as inventory, collateral and settlement liquidity in turn, the output is a range. Its width comes from uncertain inputs, not from optimism.

What observed data can fill each layer today?

Layer 1, allocation. US spot XRP ETFs took in $273 million in Q2 2026, with net inflows in all three months, according to Evernorth [1]. Evernorth said in October 2025 that its net proceeds would primarily fund open-market XRP purchases, and that it would seek to grow XRP per share through institutional lending, liquidity provisioning and DeFi yield [2]. The three Canadian spot XRP ETFs are physically backed and hold actual XRP, Crypto News Daily reported in April 2026 [3]. The page on how much XRP is actually available to trade covers the float this layer starts from.

Layer 2, utilization. Trading on the XRP Ledger’s decentralized exchange ran at 4.42 million XRP a day in Q2 2026, up about 20% year over year, according to Evernorth [1]. Evernorth counts that volume gross of direction, so it measures turnover rather than accumulation [1]. On collateral, Bitnomial said on November 3, 2025 that XRP margin deposits were available for institutional clients trading perpetuals, futures and options on its CFTC-regulated exchange, subject to all applicable regulatory approvals [4]. Bitget reported on March 20, 2025 that Bitnomial had launched the first CFTC-regulated XRP futures, physically settled in XRP [5]. crypto.news reported on July 8, 2026 that Ripple Prime accepts XRP as collateral for margin and settlement within its own brokerage [6]. Ripple said on May 19, 2026 that Ripple Prime offers clients credit intermediation, net settlement and collateral management [7], and that its EDX partnership lays groundwork for future use of RLUSD, not XRP, as a settlement and collateral asset on EDX [7]. On-ledger lending is not yet an input: the Single Asset Vault (XLS-65) and Lending Protocol (XLS-66) amendments were in validator voting and had not activated at the end of Q2 2026, according to Evernorth [1].

Layer 3, activity. RLUSD balances on the XRP Ledger averaged $539 million in Q2 2026, up from $73 million a year earlier, according to Evernorth [1]. Evernorth argues that deeper stablecoin balances raise the size of payments and tokenized-asset transactions the ledger can settle [1]. crypto.news reported in July 2026 that Ripple Prime clears more than $3 trillion a year for over 300 institutional clients [6].

Which model parameters are observed, and which remain private?

Observed: ledger turnover, pool growth, ETF flows, RLUSD balances, and which venues accept XRP as margin. These come from public ledger data and company releases [1][4].

None of the cited sources gives haircut or loan-to-value figures for XRP at Bitnomial or at Ripple Prime. Bitnomial said on November 3, 2025 that XRP margin deposits are now available for institutional clients trading leveraged perpetuals, futures and options on Bitnomial Exchange. Separately, crypto.news reports that Ripple Prime accepts XRP as collateral within its own brokerage. How much XRP is posted as collateral inside Ripple Prime is also not public as of September 30, 2026. How rules treat XRP as collateral is covered on the page about lending rules and bank capital.

Units are a further constraint. Evernorth notes that its cross-network figures are in US dollars while XRP’s own measures are in XRP, and the two are not directly comparable [1]. A capacity model has to state which unit each layer uses and convert at a dated price, or it mixes incompatible numbers.

What is the strongest case against this model?

The strongest critique is that capacity is not demand. crypto.news concluded that fee burn is negligible, collateral is real but largely internal, and settlement flows to the stablecoin [6]. For collateral demand to matter at scale, firms other than Ripple would need to accept and hold XRP as margin [6]. The size of the XRP collateral inside Ripple Prime is not public. The same article put total XRP fee burn since 2012 at roughly 14 million XRP [6], and said Ripple Prime’s revenues belong to Ripple’s shareholders, not to XRP [6]. It does grant that collateral demand is real demand, because tokens posted as margin are bought and held [6].

Ledger data shows unused capacity. Over the six quarters to Q2 2026, XRP-paired pools grew 26% while trading through those pools fell 74%, according to Evernorth [1]. Evernorth has said that its net proceeds would primarily fund open-market XRP purchases to build an institutional XRP treasury [2], so its reading of its data should be weighed with that disclosed plan in view.

Double counting is the second risk. CaptainAltcoin reported on September 10, 2026 that a filing connected to the Schwab Prime Advantage Money Fund reportedly lists shares of several XRP ETFs as collateral in repurchase agreements [8], which shows ETF shares used as collateral, not necessarily a direct XRP investment by Schwab [8]. If such shares were posted as collateral, the XRP inside that ETF could appear in layer 1 as custody and again in layer 2 as collateral; how much XRP is posted as collateral is not public. The case for keeping those apart is set out in whether ETF, treasury, DeFi and derivatives XRP can be added together, and the related question of whether one dollar of XRP supports more than one dollar of activity turns on the same issue.

How can a holder use the model’s inputs?

Each observed input in the model is a dated number that changes by quarter, such as ETF flows, ledger turnover, venues accepting XRP margin and on-ledger lending status. Tracking those says whether capacity and use are moving together. The page on what to watch instead of the XRP price turns these inputs into a list. None of it says whether to buy, sell or hold XRP.