Analysis: China’s Rush to Financialize Data Runs Ahead of the Market

1. China’s initiative to transform data into a tradable financial asset is encountering a significant mismatch: although policymakers have established an accounting framework for data capitalization, the market remains unable to reliably assess the value of most data [para. 1]. A recent case involving a local government financing vehicle (LGFV) in Zhejiang province highlights the problem. The company intended to capitalize operational data from its parking lots—such as traffic flows, payment records, and vehicle management information—to secure financing [para. 2], but the effort stalled at the compliance stage almost immediately [para. 3]. Li Yongzhuo, director of the AI and Digital Economy Department at Shengting Law Firm, noted that while compliance is a prerequisite, issuing compliance opinions to enterprises is extremely difficult [para. 4]. Many companies have accumulated vast operational data through years of digitalization but failed to build governance systems capable of treating data as a financial asset; regulators now expect embedded compliance processes in day-to-day operations rather than retroactive additions [para. 5].

2. China has laid substantial policy groundwork for data commercialization, formally recognizing data as a factor of production in 2020, alongside land, labor, capital, and technology [para. 8]. The Ministry of Finance’s accounting rules, effective in 2024, established how companies could record data resources on balance sheets [para. 8]. Since then, over 130 listed firms had disclosed data asset capitalization by April 2026, and hundreds of non-listed firms—many of them state-owned enterprises and LGFVs—have also joined the push [para. 9]. However, the actual balance sheet impact remains modest [para. 10]. Most companies use the cost approach, recording data based on expenses incurred to generate or obtain it, resulting in generally small capitalized amounts—often ranging from several million yuan to tens of millions; only a few large technology and telecom companies report data assets exceeding 100 million yuan [para. 11]. Consequently, data is entering corporate books but not yet materially reshaping balance sheets [para. 12].

3. Financing activity tied to data assets has surged, particularly among debt-pressured LGFVs seeking new collateral and funding channels as land-sales revenues weaken [para. 13]. Data asset asset-backed securities (ABS) issuance reached 16.3 billion yuan ($2.4 billion) by mid-May 2026, more than triple the total for all of 2025 [para. 14]. Yet many industry participants argue that rapid growth masks a limited reality: most data asset financing still depends overwhelmingly on traditional credit structures rather than the intrinsic value of data itself [para. 15]. The industry’s first widely recognized data asset ABS illustrates this, carrying a AAA rating largely due to a financing guarantee from China Zheshang Bank Co. Ltd., with the pledged data assets serving only as auxiliary credit enhancement, not the core repayment source [para. 16]. In practice, repayment relied on borrower creditworthiness, not future cash flows generated independently by the data [para. 17].

4. Banks remain reluctant to lend directly against data because valuation methods are deeply problematic [para. 19]. The cost approach is viewed as overly conservative; the income approach depends heavily on subjective assumptions about growth and future cash flow; and the market approach suffers from a lack of actual comparable transactions [para. 19]. Li Yongzhuo identifies a core contradiction: companies are often unwilling to openly trade their most commercially valuable data due to competitive concerns, while circulated data tends to have limited commercial value [para. 20]. Without a functioning secondary market and reliable price discovery, banks struggle to treat data as standalone collateral [para. 21]. This explains why LGFVs, rather than data-native technology firms, have emerged as the most active participants—the attraction lies less in building a sustainable data business than in finding new ways to unlock financing [para. 22].

5. Regulators have taken notice. Applications for data asset ABS have been temporarily suspended, as several market participants and people close to regulators told Caixin; two investment bankers said they received window guidance from stock exchanges on Wednesday instructing underwriters to pause new filings [para. 23]. Sources cited regulators’ concerns that some LGFVs are using the new products to repackage nonstandard debt into tradable securities, sidestepping tighter restrictions on local government borrowing [para. 24]. Beyond valuation and debt arbitrage, financial institutions also lack mechanisms to continuously monitor data assets after loans are issued. Sheng Jing, general manager of the Data Asset Innovation Department at the Beijing International Big Data Exchange, noted that banks have limited ability to track whether data assets deteriorate, lose relevance, or are transferred elsewhere after financing is completed, compared to traditional collateral [para. 25]. China’s policymakers have moved quickly to create accounting standards, property-rights frameworks, and financing pilots for data assets, but market infrastructure—from compliance systems and valuation standards to trading mechanisms and post-loan monitoring—remains underdeveloped [para. 26].