Ethereum Core Upgrade Roadmap and Valuation Impact (2025-2026)
Valuation Misconception: Why Ethereum Should Not Be Viewed as a “Tech Company” Applying traditional corporate valuation models (P/E, DCF, EV/EBITDA) to Ethereum is essentially a category error. Ethereum is not a company aiming for profit maximization, but an open digital economic infrastructure. Companies pursue shareholder value maximization, while Ethereum pursues ecosystem scale, security, and censorship resistance maximization. To achieve this, Ethereum has repeatedly actively reduced protocol revenue (e.g., through EIP-4844 introducing Blob DA, structurally lowering L2 data publication costs, and reducing L1 fee income from rollup data)—akin to “revenue self-destruction” from a corporate perspective, but from an infrastructure perspective, it sacrifices short-term fees for long-term neutrality premium and network effects. A more reasonable framework is to view Ethereum as a globally neutral settlement and consensus layer: providing security, finality, and credible coordination for the digital economy. ETH’s value is reflected in multiple structural demands—the rigid demand for final settlement, the scale of on-chain finance and stablecoins, the impact of staking and burn mechanisms on supply, and the long-term, sticky capital brought by institutional adoption such as ETFs, corporate treasuries, and RWAs. Paradigm Reconstruction: Finding Pricing Anchors Beyond Cash Flow The ethval.com platform launched by the Hashed team at the end of 2025 provides a comprehensive, reproducible set of quantitative models for Ethereum, but traditional static models struggle to capture the dramatic narrative shift for Ethereum in 2026. Therefore, we have reused its systematic, transparent, and reproducible underlying models (covering yield, monetary, network effects, and supply structure) while reshaping the valuation architecture and weighting logic: Structural Reconstruction: Mapping the models to the four major value quadrants of “Security, Monetary, Platform, Revenue,” and summing pricing by category. Weight Rebalancing: Significantly increasing the weight of security and settlement premium, while weakening the marginal contribution of protocol revenue and L2 expansion. Risk Control Overlay: Introducing a circuit breaker mechanism sensitive to macro and on-chain risks, enabling the valuation framework to adapt across cycles. Eliminating “Circular Reasoning”: Models containing current price inputs (e.g., Staking Scarcity, Liquidity Premium) are no longer used as fair value anchors, retained only as indicators for adjusting positioning and risk appetite. Note: The following models are not for precise price point prediction, but to depict the relative pricing direction of different value sources across different cycles. Security Settlement Layer: Core Value Anchor (45%, Upward Adjustment in Risk-Off Periods) We view the security settlement layer as Ethereum’s most core source of value, assigning it a baseline weight of 45%; this weight is further increased during periods of rising macro uncertainty or falling risk appetite. This judgment stems from Vitalik’s latest definition of “truly scaling Ethereum”: the essence of scaling is not increasing TPS, but creating block space fully backed by Ethereum itself. Any high-performance execution environment relying on external trust assumptions does not constitute scaling of the Ethereum entity. Under this framework, ETH’s value primarily manifests as the credit premium of a global, sovereign-less settlement layer, not protocol revenue. This premium is jointly supported by structural factors such as validator scale and decentralization, long-term security track record, institutional adoption, clarity of compliance pathways, and protocol-native rollup validation mechanisms. For specific pricing, we primarily employ two complementary methods: Validator Economics (yield equilibrium mapping) and Staking DCF (perpetual staking discount), together depicting ETH’s institutional premium as the “global security settlement layer.” Validator Economics (Yield Equilibrium Pricing): Derives a theoretical fair price based on the ratio of annualized staking cash flow per ETH to the target real yield: Fair Price = (Annual Staking Cash Flow per ETH) / Target Real Yield This expression is used to depict the equilibrium relationship between yield and price, serving as a directional relative valuation tool, not an independent pricing model. Staking DCF (Perpetual Staking Discount): Treats ETH as a long-term asset capable of sustainably generating real staking yield, discounting its cash flow in perpetuity: M_staking = Total Real Staking Cash Flow / (Discount Rate − Longterm Growth Rate) ETH Price (staking) = M_staking / Circulating Supply In essence, this value layer is not对标 the revenue capability of platform companies, but resembles the settlement credit of a global clearing network. Monetary Properties: Settlement and Collateral (35%, Dominant in Utility Expansion Periods) We view monetary properties as Ethereum’s second core source of value, assigning it a baseline weight of 35%, becoming the primary utility anchor during neutral markets or on-chain economic expansion phases. This judgment is not based on the narrative that “ETH equals the US dollar,” but on its structural role as the native settlement fuel and ultimate collateral asset of the on-chain financial system. The security of stablecoin circulation, DeFi liquidations, and RWA settlement all rely on the settlement layer underpinned by ETH. For pricing, we employ an extended form of the Quantity Theory of Money (MV = PQ), but model ETH’s use cases in layers to account for orders-of-magnitude differences in velocity across different scenarios: Layered Monetary Demand Model: High-Frequency Settlement Layer (Gas payments, stablecoin transfers) M_transaction = Annual Transaction Settlement Volume / V_high V_high ≈ 15-25 (referencing historical on-chain data) Medium-Frequency Financial Layer (DeFi interactions, loan liquidations) M_defi = Annual DeFi Settlement Volume / V_medium V_medium ≈ 3-8 (based on capital turnover rates of mainstream DeFi protocols) Low-Frequency Collateral Layer (Staking, restaking, long-term locking) M_collateral = Total ETH Collateral Value × (1 + Liquidity Premium) Liquidity Premium = 10-30% (reflecting compensation for sacrificed liquidity) Platform / Network Effects: Growth Option (10%, Bull Market Amplifier) Platform and network effects are viewed as a growth option within Ethereum’s valuation, assigned only a 10% weight, used to explain the non-linear premium brought by ecosystem expansion during bull market phases. We employ a trust-adjusted Metcalfe’s Law model, avoiding equal weighting of L2 assets with different security levels in the valuation: Metcalfe’s Law Model: M_network = a × (Active Users)^b + m × Σ (L2 TVL_i × TrustScore_i) Platform/Network Effects Valuation Price: ETH Price(network) = M_network / Circulating Supply Revenue Asset: Cash Flow Floor (10%, Bear Market Support) We view protocol revenue as the cash flow floor within Ethereum’s valuation system, not a growth engine, also assigning it a 10% weight. This layer primarily functions during bear markets or extreme risk phases, used to depict the valuation floor. Gas and Blob fees provide the network’s minimum operating costs and influence the supply structure through EIP-1559. For valuation, we employ Price-to-Sales and Fee Yield models, taking the conservative value between them, serving only as a bottom reference. As the mainnet continues to scale, the importance of protocol revenue declines relatively, with its core role manifesting as a safety margin during downturns. Price-to-Sales Model (P/S Floor): M_PS = Annual Protocol Revenue × P/S_multiple P/S Valuation Price: ETH Price (PS) = M_PS / Circulating Supply Fee Yield Model: M_Yield = Annual Protocol Revenue / Target Fee Yield Fee Yield Valuation Price: ETH Price(Yield) = M_Yield / Circulating Supply Cash Flow Floor Pricing (taking the minimum of the two): P_Revenue_Floor = min(P_PS , P_Yield) Dynamic Calibration: Macro Constraints and Cycle Adaptation If the previous sections established Ethereum’s “intrinsic value center,” this chapter introduces an “external environment adaptation system” independent of fundamentals. Valuation cannot operate in a vacuum; it must be constrained by three external factors: the macro environment (cost of capital), market structure (relative strength), and on-chain sentiment (crowding). Based on this, we have constructed a Regime Adaptation mechanism, dynamically adjusting valuation weights across different cycles—releasing option premium during easing periods, retreating to the revenue floor during risk-off periods—thereby achieving a leap from static models to dynamic strategy. (Note: Due to space constraints, this article only presents the core logical framework of this mechanism.) Conditional Path for the Institutionalization Second Curve The previous analysis is based on the internal technical, valuation, and cyclical logic of the 加密貨幣 system. This chapter discusses a different level of problem: when ETH is no longer priced solely by crypto-native capital but is gradually incorporated into the traditional financial system, how will its pricing power, asset attributes, and risk structure change? The institutionalization second curve is not an extension of existing logic, but a redefinition of Ethereum by exogenous forces: Change in Asset Attributes (Beta → Carry): Spot ETH ETFs address compliance and custody issues, essentially still price exposure; whereas the future advancement of Staking ETFs introduces on-chain yield into the institutional system through compliant vehicles for the first time. ETH thus transitions from an “interest-free, high-volatility asset” to a “configurable asset with predictable yield,” expanding potential buyers from trading capital to yield- and duration-sensitive pensions, insurance, and long-term accounts. Change in Usage Mode (Holding → Using): If institutions no longer view ETH merely as a tradable asset but begin using it as settlement and collateral infrastructure 本文源自網路: Etherean Repricing: From Rollup-Centric to “Security Settlement Layer” Related: 2025 KOLs’ Most Used OKX Products Overview We engaged with over a dozen top KOLs covering airdrop farming, MEMEs, secondary trading, wealth management, and other tracks, focusing on four core questions: “What was your biggest achievement this year?”, “Given your results, what was your most frequently used and favorite OKX product in 2025?”, “Why do you like it?”, and “What practical value has this product brought you?”. From their annual reviews, it’s evident that with the rapid development of on-chain ecosystems, on-chain operations accelerated significantly in 2025, and KOLs’ product preferences quietly shifted: they no longer settle for single functions but place greater emphasis on efficiency, combined strategies, and value capture. 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