Lease Renewal Rate Data
What percentage of tenants renew and at what rent increase -- retention data that determines whether a landlord's income is stable or volatile.
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Find Me This Data →Overview
What Is Lease Renewal Rate Data?
Lease renewal rate data measures the percentage of tenants who renew their leases and the associated rent increases applied at renewal. This metric is critical for landlords and property managers because it directly determines whether rental income is stable or volatile. High renewal rates with modest rent increases signal predictable cash flow, while low renewal rates or aggressive increases can trigger tenant churn and vacancy costs. In 2025, U.S. office and industrial markets face over 265 million square feet of leases expiring, making renewal rate tracking essential for revenue forecasting and portfolio management.
Market Data
265+ million sq ft
U.S. Office & Industrial Lease Expirations (2025)
Source: Datagrid
60–70% of workweek
Time Leasing Teams Spend on Data Entry
Source: Datagrid
95.5%
Silicon Valley Apartment Occupancy Rate
Source: RentCafe / AMSI Real Estate
36 days
Silicon Valley Average Leasing Speed
Source: RentCafe / AMSI Real Estate
Who Uses This Data
What AI models do with it.do with it.
Multi-Location Retail Chains
Retailers with portfolio exposure across dozens or hundreds of locations need renewal rate data to forecast rent expense volatility, identify at-risk leases before expiration, and optimize renegotiation timing across their entire footprint.
Commercial Landlords & REITs
Property owners use renewal rates to model stable vs. volatile income streams, benchmark tenant retention against market peers, and set proactive renewal pricing strategies to maximize revenue capture.
Property Management Companies
Third-party managers track renewal pipelines to allocate leasing resources, predict vacancy costs, and demonstrate portfolio performance to institutional clients.
Real Estate Investors
Buyers and institutional investors analyze historical renewal rates during acquisition due diligence to assess property quality, tenant stickiness, and income sustainability.
What Can You Earn?
What it's worth.worth.
Platform-Level Market Intelligence
Varies
Subscription or licensing for aggregated renewal rate benchmarks across regions or asset classes.
Scoped Data Science Engagements
Varies
Custom analysis projects analyzing specific renewal cohorts or predictive modeling of churn risk.
Embedded Analytics & Consulting
Varies
Ongoing advisory services integrated into client operations, often on annual or multi-year contracts.
What Buyers Expect
What makes it valuable.valuable.
Historical Renewal Cohorts
Buyers need reliable, year-over-year data on which tenant cohorts renewed, which did not, and at what rent change—clean enough to segment by property type, geography, or tenant industry.
Real-Time Expiration Pipeline
Accurate identification of upcoming lease expirations with automated alerts, enabling proactive outreach 6+ months before maturity and reducing reactive renewal scrambles.
Rent Increase Attribution
Granular tracking of rent escalations at renewal—showing which increases were accepted, negotiated down, or led to tenant loss—to calibrate pricing strategies and predict market response.
Integration with Accounting Standards
Data must support ASC 842 and IFRS 16 compliance, with accurate lease term recognition and rent obligation calculations for financial statement reporting.
Companies Active Here
Who's buying.buying.
AI-powered lease management platform extracting renewal dates, rent escalations, and compliance obligations; serves multi-location retailers. Raised $5.2M seed with $1M recurring revenue.
AI lease expiration pipeline management for office and industrial portfolios; flags at-risk renewals 6 months out using predictive models and real-time market data.
FAQ
Common questions.questions.
Why is lease renewal rate data important?
Renewal rates directly determine landlord income stability. Every missed renewal triggers vacancy costs, marketing, and tenant replacement expenses. With 265+ million square feet of U.S. office and industrial leases expiring in 2025 alone, tracking renewals is critical for revenue forecasting and cash flow modeling.
How do property managers use renewal rate forecasts?
Managers use predictive renewal models to flag at-risk tenants 6+ months before expiration, optimize pricing strategies based on market data, and prioritize outreach—shifting from reactive expiration tracking to proactive portfolio intelligence.
What rent increases do buyers expect to see in renewal data?
Renewal rate data should track both the percentage of tenants who renew and the associated rent increases (or decreases) offered or accepted. This granular attribution helps landlords calibrate pricing and understand tenant price sensitivity.
How does renewal data connect to accounting compliance?
Under ASC 842 and IFRS 16, companies must recognize leases on balance sheets. Accurate renewal rate data—including rent escalations and lease term extensions—is essential for calculating lease obligations and financial reporting.
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