Group Benchmarking
Benchmark publicly traded dealer groups against each other — composite rankings across volume, efficiency, pricing, and inventory
Purpose
Relative value investing in automotive retail requires cross-group benchmarking. Which group has the best operational efficiency? Which is gaining or losing relative position? Which is the most vulnerable to margin compression? These questions require simultaneously analyzing all 8 publicly traded groups across multiple dimensions.
Group Benchmarking produces a multi-dimensional ranking of all publicly traded dealer groups (AN, LAD, PAG, SAH, GPI, ABG, KMX, CVNA) across volume, ASP, DOM, Efficiency Score, and days supply. Delivers composite rank with relative thesis per ticker.
How It Works
Execution flow. MCP tool calls are shown inline on each step.
↔ Parallel Execution
get_sold_summaryCalls get_sold_summary ranked by dealership_group_name for current month. Extracts top 20 groups including all 8 publicly traded — sold_count, ASP, DOM.
get_sold_summarySame call for prior month. Computes MoM changes for volume, ASP, and DOM per group.
search_active_carsCalls search_active_cars for each of the 8 public groups (new + used) to calculate days supply. 8–16 calls total.
Scores each group on Volume rank, ASP rank, DOM rank, Efficiency Score rank, and Days Supply rank. Averages to composite rank. Identifies market share gainers and losers.
Delivers ranked table with composite scores, top 3 picks by metric, and a relative value thesis: best-in-class vs most at-risk.
MCP Tool Calls
| Tool | Calls | Purpose |
|---|---|---|
get_sold_summary | 2 | All dealer groups current and prior month volume, ASP, DOM |
search_active_cars | 8–16 | New and used inventory per group for days supply |
Example Output
GROUP BENCHMARKING — 8 Public Auto Retailers | February 2026 ════════════════════════════════════════════════════════════ COMPOSITE RANKING Rank Group Ticker Vol Rank ASP Rank DOM Rank Eff Rank Supply Rank Composite ──── ────────── ────── ──────── ──────── ──────── ──────── ─────────── ───────── 1 Lithia LAD 1 4 2 1 2 2.0 2 Group 1 GPI 3 2 1 2 1 1.8 3 Penske PAG 2 1 3 3 3 2.4 4 Asbury ABG 5 3 4 4 4 4.0 5 AutoNation AN 4 5 6 6 5 5.2 6 Sonic SAH 6 6 5 5 6 5.6 7 CarMax KMX 7 7 7 7 7 7.0 8 Carvana CVNA 8 8 8 8 8 8.0 RELATIVE THESIS BEST-IN-CLASS: LAD (volume leader, best efficiency) MOST AT-RISK: AN (rising DOM, declining efficiency, losing share to LAD/GPI)
Cost Estimate
10 benchmarks/month ≈ $2–4
Limitations
- US market only.
- KMX and CVNA are used-only retailers — Efficiency Score and Days Supply not directly comparable to new+used groups.
- search_active_cars calls multiply by 2x for new vs used per group, making this the most API-intensive skill.
- Dealer group name matching may require manual verification for smaller or recently acquired groups.
More in the Analyst Plugin
Same Capability, Different Plugin
These skills share the same underlying methodology but are tuned for a different audience.