Days on Lot Data
How long vehicles sit on dealer lots before selling, by make, model, color, and trim. Every day on lot costs the dealer $30-50 in floor plan interest.
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What Is Days on Lot Data?
Days on Lot Data measures how long vehicles remain unsold at dealer inventory, tracked by make, model, color, and trim. This metric is critical for dealership profitability—each day a vehicle sits on the lot costs dealers $30–50 in floor plan interest charges, making rapid inventory turnover essential to margins. As of January 2026, the U.S. new-vehicle market averaged a 76-day supply, down from 92 days in December, though significant variation exists across brands. Premium brands like Lexus and Toyota moved fastest at 28–33 days, while struggling brands like Volkswagen and Chrysler faced 133–260+ day supplies. This data directly impacts dealer financing costs, production planning, and pricing strategies across the automotive supply chain.
Market Data
76 days
Industry Average Days' Supply
Source: Cox Automotive Inc.
28-day supply
Lexus (Fastest-Moving Luxury Brand)
Source: CBT News
143-day supply
Volkswagen (Slowest Brand)
Source: Cox Automotive Inc.
~260+ days (2x industry average)
Chrysler (Elevated Inventory)
Source: CBT News
8% drop (3.0M to 2.8M units)
Month-over-Month Inventory Decline (Dec–Jan)
Source: Cox Automotive Inc.
Who Uses This Data
What AI models do with it.do with it.
Dealership Finance & Operations
Dealers use days-on-lot data to manage floor plan interest costs ($30–50/day per vehicle), optimize pricing strategies, and determine when to offer aggressive discounts to clear aging inventory before carrying costs erode profitability.
Manufacturer Production Planning
Automakers monitor days-on-lot by brand and model to adjust production volumes, hold back inventory to maintain pricing power (as done with 2026 model releases), and identify underperforming configurations that need repositioning or discontinuation.
Automotive Valuation & Analytics Firms
Data providers and used-car platforms track days-on-lot trends to forecast residual values, identify market timing opportunities, and advise dealers on when to move inventory to the used-car channel to avoid depreciation.
Financial Institutions & Lenders
Banks and floor plan lenders use inventory turnover metrics to assess dealer creditworthiness, set interest rates, and monitor portfolio risk—slow-moving inventory signals default risk for lenders financing dealer stock.
What Can You Earn?
What it's worth.worth.
Subscription Data Feed
Varies
Real-time or daily data on aggregate days' supply by brand and model, updated weekly or monthly. Pricing depends on update frequency and geographic scope (national vs. regional).
Granular Trim & Color Data
Varies
Detailed breakdown including specific trim levels, paint colors, and feature configurations. Higher-tier pricing due to collection and processing complexity.
Historical & Trend Analysis
Varies
Time-series data showing seasonal patterns, year-over-year comparisons, and forecasted turnover rates. Used by financial institutions and valuation firms for risk modeling.
Dealer-Specific Microdata
Varies
Individual lot-level inventory turnover tied to specific dealers or dealer groups. Premium pricing for actionable, localized intelligence.
What Buyers Expect
What makes it valuable.valuable.
Accurate Days-on-Lot Calculation
Precise tracking from listing date to sale date, with clear methodology for handling reprices, dealer transfers, and off-market inventory. Buyers verify against dealer management system records and third-party auction data.
Make, Model, Trim & Color Segmentation
Data must break down inventory by specific configurations—e.g., 2026 Honda Accord EX sedan in lunar silver—not just brand-level aggregates. Buyers use this to identify which configurations move fast vs. slow.
Timely & Consistent Updates
Daily or near-real-time feeds expected for operational use. Lenders and valuation firms need weekly or monthly snapshots; delays of 30+ days reduce actionability for pricing and production decisions.
Coverage & Sample Size
Data must represent a significant percentage of market inventory (ideally 50%+ of dealer lots nationally or regionally). Small samples bias results and make conclusions unreliable for strategy.
Transparency on Inventory Age & Source
Clear documentation of whether data includes used inventory, consignment vehicles, or certified pre-owned stock. Buyers distinguish between retail new-vehicle lots and mixed-inventory dealers.
Companies Active Here
Who's buying.buying.
Publishes monthly new-vehicle inventory reports tracking days' supply by brand, pricing, and market trends. Data informs dealer networks, OEMs, and financial institutions.
Integrate days-on-lot data into dealer management systems (DMS) to automate pricing, alert dealers to aging inventory, and optimize floor plan borrowing.
Track market conditions and inventory turnover to provide buyers with negotiation leverage, residual value forecasts, and timing advice for vehicle purchases.
Monitor dealer inventory metrics to assess credit risk, set borrowing costs, and identify dealers with slow-moving stock or margin pressure.
Use days-on-lot feedback to adjust production schedules, manage model allocations, and time new model releases to optimize dealer inventory balance and pricing.
FAQ
Common questions.questions.
Why does days-on-lot data matter to dealers?
Each day a vehicle sits on a dealer's lot costs $30–50 in floor plan interest—the financing charge from lenders who fund dealer inventory. A vehicle sitting 100 days costs $3,000–5,000 in interest alone, directly reducing dealer profit. Days-on-lot data helps dealers identify slow-moving inventory early and price it aggressively to clear it before carrying costs erode margins.
How much variation is there in days-on-lot by brand?
Significant variation exists. As of January 2026, Lexus and Toyota moved fastest at 28–33 days, while Volkswagen had a 143-day supply and Chrysler exceeded the industry average by more than double. Luxury brands and mainstream bestsellers turned fast; struggling brands and price-sensitive segments lingered 130+ days. This reflects demand differences, production constraints, and pricing strategies.
What drives month-to-month changes in days-on-lot?
Sales velocity, production discipline, and inventory management strategies. From early December to January 2026, days' supply dropped from 92 to 76 days due to strong holiday sales, aggressive year-end incentives clearing 2025 models, and manufacturers holding back 2026 releases to maintain pricing power. Supply chain constraints and seasonal demand also influence turnover.
Who benefits most from days-on-lot data?
Dealership finance teams, floor plan lenders, automotive manufacturers, and valuation platforms all rely on it. Dealers use it for pricing and inventory management; lenders assess dealer risk and profitability; OEMs adjust production; and valuation firms forecast residual values and advise buyers on market timing and negotiation leverage.
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