EV Transition Monitor
EV lending risk scorecard — adoption rates, depreciation ratios, days supply signals, and portfolio concentration guidance
Purpose
EV lending represents both the largest growth opportunity and the most concentrated residual risk in auto finance. A portfolio with 15% EV exposure may look diversified by model count but highly concentrated by depreciation risk — because EVs can depreciate 2x faster than ICE equivalents, and because Tesla accounts for over half of EV market volume nationally, creating single-brand concentration risk within the EV segment itself.
EV Transition Monitor produces a full lending risk scorecard for the EV market: EV penetration rates with trend signals (growing opportunity vs contracting appetite), EV-to-ICE pricing parity by segment (approaching parity = rising origination volume), EV depreciation vs ICE depreciation ratio (the single most important metric for EV residual setting), EV days supply (inventory glut signals residual pressure), and brand-level EV share for portfolio concentration assessment. Every metric closes with an explicit lending risk signal and policy recommendation.
How It Works
Execution flow. MCP tool calls are shown inline on each step.
↔ Parallel Execution
get_sold_summaryCalls get_sold_summary with fuel_type_category=EV for current month, prior month, and 3 months ago. Parallel total market call for denominator. Calculates EV penetration %, hybrid penetration %, combined electrified %, MoM bps change, and 3-month trend. Signal: GROWING OPPORTUNITY / STABLE MARKET / CONTRACTING.
get_sold_summaryParallel call for total sold volume — denominator for penetration rate calculation. Also used to establish the origination demand baseline.
get_sold_summaryCalls get_sold_summary for EV and ICE separately, repeated for current and prior periods. Calculates price gap $ and % by segment (SUV, Sedan, Pickup). Gap trend: Approaching Parity / Stalled / Diverging. Lending signal: approaching parity = prepare for EV origination volume increase.
get_sold_summaryCalls get_sold_summary with fuel_type_category=EV, inventory_type=Used, ranking by make,model for current month and 3 months ago. Repeat for ICE. Calculates EV monthly depreciation % vs ICE monthly depreciation %. Depreciation ratio = EV rate / ICE rate. HIGH RISK if ratio > 2x (set EV residuals 8-12% lower).
search_active_carsCalls search_active_cars with fuel_type=Electric, car_type=new for active inventory count and avg DOM. Calculates days supply = active EV new / monthly EV new sold × 30. Lending signal: < 30 days (residuals supported), 30-60 (balanced), > 60 (supply building — residual pressure), > 90 (GLUT — tighten advance rates).
get_sold_summaryCalls get_sold_summary with fuel_type_category=EV, ranking by make for current and prior month. Calculates brand EV share % and MoM bps change. Highlights Tesla concentration — a portfolio heavy in Tesla-backed loans has single-brand concentration risk even within the diversified EV segment.
get_sold_summaryCalls get_sold_summary with fuel_type_category=EV, summary_by=state for top 15 states. High-adoption states have better EV resale infrastructure and lower residual risk for lenders — maps directly to state-level advance rate guidance for EV portfolios.
MCP Tool Calls
| Tool | Calls | Purpose |
|---|---|---|
get_sold_summary | 8–14 | Penetration rates (3 periods), EV vs ICE pricing by segment (current + prior), EV and ICE depreciation, brand EV share (2 periods), regional EV adoption |
search_active_cars | 1–2 | EV new inventory count and days supply calculation |
Example Output
EV TRANSITION MONITOR — Lender Scorecard | February 2026 ════════════════════════════════════════════════════════ EV PENETRATION EV Penetration: 8.3% (+42 bps MoM) — GROWING OPPORTUNITY Hybrid Penetration: 11.7% (+18 bps MoM) Combined Electrified: 20.0% (+60 bps MoM) Lending Signal: Increase EV origination appetite; volume will grow EV vs ICE PRICING PARITY (Used Market) Segment EV Avg ICE Avg Gap $ Gap % Trend ───────── ────────── ────────── ────────── ─────── ────────────────── SUV $46,100 $37,200 $8,900 +23.9% Narrowing ↓ Sedan $36,800 $28,400 $8,400 +29.6% Stable → Pickup $58,300 $44,100 $14,200 +32.2% Narrowing ↓ EV vs ICE DEPRECIATION (CRITICAL RISK METRIC) EV Monthly Depreciation: 2.4%/mo (annualized 28.8%) ICE Monthly Depreciation: 0.8%/mo (annualized 9.6%) Depreciation Ratio: 3.0x — ⚠ HIGH RISK Policy: Set EV residuals 10-12% BELOW ICE equivalents for all originations EV DAYS SUPPLY EV New Inventory: 54 days — BALANCED (residuals supported) EV Used Inventory: 41 days — TIGHT (strong demand signal) BRAND EV CONCENTRATION RISK Tesla: 54.1% of all EV loans — SINGLE-BRAND CONCENTRATION RISK Ford: 11.5% (+80 bps MoM) — Growing Hyundai: 9.7% (+55 bps MoM) — Growing GM: 8.4% (+30 bps MoM) — Stable RECOMMENDATION: Portfolio EV exposure cap at 20% by value. Tesla sub-limit at 12%. GAP mandatory for all EV originations until depreciation ratio < 1.5x.
Cost Estimate
12 monthly EV reviews ≈ $2–5/month
Limitations
- US-only — all data requires US get_sold_summary.
- Tesla dominates EV share nationally (~50-60%) — all analyses contextualize ex-Tesla EV market for portfolio concentration assessment.
- EV battery degradation adds a non-linear depreciation component not captured in market price trends — for vehicles with >50K miles or >3 years old, apply an additional 2-3% residual haircut.
- EV days supply calculation requires sold velocity and active inventory in the same analysis window — days supply figure is a national estimate unless state is specified.
- Segment-level EV sold counts may be low for some body types (e.g., EV pickups), reducing statistical reliability.
More in the Lender Plugin
Residual risk curves at model level with LTV projection and advance rate guidance
View details →Monthly portfolio composite with EV penetration as one of six risk signals
View details →Residual risk by model including EV vs ICE parity comparison
View details →Same Capability, Different Plugin
These skills share the same underlying methodology but are tuned for a different audience.
OEM manufacturers use the same EV adoption and parity data for production planning and launch timing — where lenders see portfolio concentration risk, OEMs see market demand signals.
View in Manufacturer →Insurers use EV depreciation data to set differential premiums for EV collision/comprehensive coverage — the same EV-to-ICE depreciation ratio that drives lender advance rates drives insurer premium adjustments.
View in Insurer →Appraisers use EV depreciation curves to apply trend adjustments when valuing EVs — the same depreciation ratio data that lenders use for residual setting informs appraisers how much to adjust below book for EV units.
View in Appraiser →