Definition:Schedule of values (SOV)
📋 Schedule of values (SOV) is a detailed listing of insured properties and their associated values that a policyholder submits to an insurance carrier or broker as part of the underwriting and placement process. In commercial property insurance, the SOV typically itemizes each location by address, construction type, occupancy, building value, contents value, business income exposure, and other relevant characteristics. It serves as the foundational data document from which underwriters assess risk concentration, determine premium allocation, and structure policy terms — particularly for large or multi-location accounts.
🏢 Underwriters rely on the SOV to evaluate aggregation risk, analyze exposure to catastrophe perils such as windstorm or earthquake, and run properties through catastrophe models. Each location's stated value drives the proportional share of premium it carries, and the accuracy of these values directly affects whether coverage will respond adequately at the time of a loss. In practice, insurers and reinsurers frequently scrutinize SOVs for signs of undervaluation — a persistent challenge across markets — since reported values that fall short of actual replacement cost can trigger coinsurance penalties or leave the insured underprotected. Many insurers now require SOVs in standardized electronic formats (such as ACORD-aligned templates) to facilitate data ingestion into pricing and accumulation management systems.
📊 The quality of an SOV can make or break a placement. Incomplete or outdated schedules slow the quoting process, erode underwriter confidence, and may result in less favorable terms or outright declinations. For MGAs and wholesale brokers handling complex property portfolios — whether a retail chain across the United States, industrial facilities in Southeast Asia, or mixed-use developments in Europe — maintaining a clean, current SOV is a competitive differentiator. Increasingly, insurtech platforms offer automated SOV cleansing and enrichment tools that geocode addresses, flag data anomalies, and append third-party building attributes, helping both insureds and carriers close the gap between reported and actual exposure.
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