Many CIMs present “resilient same-store sales,” “strong parts margin,” or “EV-ready platform” without proving trough-cycle cash survival, F&I dependency, franchise/right durability, recall exposure, or whether the distribution moat holds as electrification reshapes service and parts economics. Automotive and auto aftermarket due diligence (also called dealership, auto parts, aftermarket, remanufacturing, vehicle service, or mobility diligence) underwrites how the business makes money through OEM cycles: volume allocation dependency, dealership F&I and floorplan dynamics, parts failure-rate and private-label durability, warranty/recall liability, and franchise or rights survival through EV transition. It is not the same as manufacturing diligence (capacity, capex, unit cost), logistics diligence (fleet, throughput, last mile), retail diligence (footfall, basket, LTV), supply-chain diligence (supplier risk, dual-source), or consumer diligence (brand preference, demand testing). Automotive work underwrites whether the cycle and rights engine produces durable cash through the hold period — including through the next trough.
Automotive vs manufacturing vs logistics vs retail
| Workstream | Primary question | Typical output |
|---|---|---|
| Automotive / aftermarket DD | Does the business survive the OEM cycle and EV transition? | Through-volume stress, F&I map, parts failure curves, recall exposure |
| Manufacturing DD | Is capacity, capex, and unit cost competitive? | OEE, capex intensity, cost-down roadmap |
| Logistics DD | Is fleet/throughput efficient and contracted? | Utilization, cost per mile, route density |
| Retail DD | Is footfall and basket durable and repeatable? | SQSS, basket, LTV by format |
| Supply-chain DD | Is supplier risk and continuity underwritten? | Concentration, dual-source, tariff map |
Seven pillars of automotive diligence
1. OEM volume dependency & trough-cycle cash survival
Map revenue and gross profit to OEM allocation, platform mix, and SAAR sensitivity. Stress EBITDA and covenant headroom at trough SAAR, allocation cuts, or incentive pullback — not just trailing peak EBITDA. A dealership or Tier supplier that only works at peak is a leverage time bomb. Align with quality of earnings, financial diligence, and LBO diligence.
2. Dealership F&I, floorplan & incentive dependency
Underwrite F&I penetration and reserve per unit, new-vehicle front-end gross vs back-end, floorplan financing rate sensitivity and aged inventory wholesale risk, manufacturer incentive and stair-step dependency, and whether gross per vehicle survives at trough without reserve or incentive. Dealership economics live in F&I, fixed ops (service/parts), and used — rarely in new-vehicle front-end gross. Connect to pricing diligence, debt diligence, and contract diligence.
3. Parts distribution, failure-rate curves & private-label durability
Map failure-rate curves by category (maintenance vs discretionary vs failure), replacement demand drivers (VIO, aging parc, VMT), private-label vs branded gross margins, SKU concentration, warranty/return exposure, and digital (Amazon/rock-bottom) channel threat. Parts durability depends on whether pricing power holds as private-label penetration rises or OEM programs change. Align with channel diligence, supply-chain diligence, and pricing diligence.
4. Warranty, recall & product liability exposure
Recall history, open campaigns, warranty reserve adequacy, field failure trends, product liability litigation, and regulatory enforcement (NHTSA, EPA, CARB). A legacy recall or latent defect can create a multi-year cash drag or covenant trip after close. Connect to legal diligence, compliance diligence, and regulatory diligence.
5. Franchise rights, OEM agreements & distribution moat
Franchise agreements and state franchise-law protections, OEM add-point and termination rights, performance standards and default risk, real estate (owned vs ground-leased, facility upgrade requirements), and whether the franchise moat survives OEM strategy shifts or brand rationalization. A franchise that can be pulled or under-allocated post-close destroys the thesis. Align with contract diligence, real estate diligence, and competitive diligence.
6. EV transition & emissions exposure
EV penetration in the addressable parc, service revenue at-risk (EVs need less maintenance — fluids, brakes, engine parts collapse), charging infrastructure dependency, battery warranty and residual value risk, regulatory credit/incentive dependency, and capex requirements for EV-ready facilities or tooling. A service/parts heavy thesis that ignores EV-driven service decline is underwriting a shrinking cash pool. Connect to regulatory diligence, environmental diligence, and technology diligence.
7. Customer concentration, fleet & channel durability
Top customer/OEM concentration, fleet vs retail mix, e-commerce and DTC penetration, installer/jobber channel share, Amazon and marketplace exposure, and whether the customer base is diversified or a few large accounts drive EBITDA. Align with customer diligence, customer concentration diligence, and commercial diligence.
DI20-WELCOME) — useful for cycle and F&I questions, EV transition heat maps, recall/warranty flags, open-question lists, and data-room prioritization, not a substitute for full facility audits, floorplan review, recall counsel, environmental studies, or specialist automotive market reports.
Stage sequencing (screen to IC)
| Stage | Automotive focus | Deal-team action |
|---|---|---|
| Teaser / CIM | Same-store growth, parts margin, EV-ready | Flag cycle, F&I, franchise, recall claims |
| Desk diligence | OEM mix, SAAR sensitivity, top SKUs/customers | Red/amber/green; hotspot list |
| Deep cycle / operational | Trough EBITDA, F&I reserve, recall exposure, facility audit | Cycle stress; franchise/rights map |
| IC / model | Cases for trough SAAR, OEM allocation cut, EV service decline | Base / upside / downside with cycle cliffs |
| Post-close | OEM relations, F&I optimization, facility capex, EV readiness | 100-day automotive plan with named owners |
Red flags
| Signal | Severity | Why it matters |
|---|---|---|
| EBITDA only works at peak SAAR or peak allocation; covenant trip at trough | Deal-Killer | Leverage and thesis collapse in downturn |
| F&I reserve or manufacturer incentive >40% of dealership gross | Deal-Killer | Profit is cyclical and OEM-controlled, not durable |
| Franchise/OEM agreement at material risk (default, termination, under-allocation) | Deal-Killer | Thesis asset can be pulled post-close |
| Open recall, latent defect, or warranty reserve materially understated | High | Multi-year cash drag or litigation |
| Service/parts thesis ignores EV-driven service revenue decline | High | Underwriting a shrinking cash pool |
| Top customer/OEM >40–60% revenue with allocation risk | High | Single-point failure |
| Floorplan rate sensitivity creates covenant risk at normalized rates | High | Inventory carry kills margin in rate spike |
| No private-label, digital channel, or Amazon threat analysis pre-IC | Watch | Pricing-power and channel risk elevated |
Cost & timeline (traditional vs first-pass)
| Approach | Typical cost | Timeline | Best use |
|---|---|---|---|
| Full automotive diligence (cycle model, facility/franchise audit, F&I, recall, Phase I/II) | $50K–$200K+ | 4–12 weeks | Dealership groups, Tier suppliers, multi-site aftermarket |
| Targeted cycle stress + F&I / recall review | $20K–$75K | 2–6 weeks | Cleaner single-site or less-regulated aftermarket assets |
| Public first-pass automotive pack | $49 | Minutes to hours | Triage before specialist spend / IC framing |
50-point automotive diligence checklist
- Revenue and gross profit by OEM, brand, and platform mix
- SAAR sensitivity and trough EBITDA vs trailing peak
- OEM allocation history and incentive/stair-step dependency
- New-vehicle front-end gross vs F&I reserve per unit
- F&I penetration, products, and reserve sustainability
- Floorplan financing rate sensitivity and covenant headroom
- Aged inventory levels and wholesale loss history
- Used-vehicle sourcing, gross, and recon economics
- Fixed ops: service and parts gross as % of total gross
- Customer-pay vs warranty vs internal service mix
- Parts failure-rate curves by category (maintenance/discretionary/failure)
- VIO, aging parc, and VMT drivers for replacement demand
- Private-label vs branded SKU split and gross margin
- Top SKU and customer concentration (top 5 / top 10)
- Warranty reserve adequacy and claims trend
- Open recalls, campaigns, and field failure data
- Product liability litigation and regulatory enforcement history
- Franchise agreements: term, renewal, performance standards
- OEM termination, add-point, and under-allocation risk
- State franchise-law protections and litigation history
- Real estate: owned vs leased, facility upgrade capex requirements
- EV penetration in addressable parc and growth trajectory
- Service revenue at-risk from EV maintenance decline
- Charging infrastructure dependency and capex
- Battery warranty, residual value, and second-life exposure
- Regulatory credit/incentive dependency in revenue model
- Fleet vs retail customer mix and concentration
- E-commerce, DTC, and marketplace (Amazon) channel share
- Installer/jobber channel relationships and retention
- Top customer concentration and contract terms
- Working capital: floorplan, aged inventory, receivables
- Seasonality of sales, service, and cash collection
- Environmental: Phase I/II, contamination, compliance history
- Insurance: garage-keepers, liability, and recall coverage
- Competitive set: same-brand and cross-brand rivals
- Capex required to maintain facilities, tooling, and EV readiness
- Synergy claims that ignore franchise law or OEM relations
- Leverage model sensitivity to trough SAAR or rate spike
- Management depth beyond principal/dealer-principal
- Alignment of growth thesis with realistic cycle runway
- Post-close OEM relations and performance-standard plan
- Integration impact on brand, staffing, and F&I providers
- Third-party market studies (where commissioned)
- Open data-room gaps on F&I detail and recall/warranty
- Key-person risk on dealer-principal or parts leadership
- Geographic concentration and weather/disaster exposure
- Tariff and trade exposure on imported parts/vehicles
- Cyber posture for DMS and connected-vehicle data
- Insurance and indemnity for prior recalls/defects
- IC materials: trough-cycle cases and EV service-decline map
How deal teams use a first-pass pack
Use a first-pass automotive pack to structure early questions, pressure-test CIM cycle and EV-ready language, build OEM allocation and recall heat maps, and prioritize data-room asks before specialist facility auditors, floorplan reviewers, recall/warranty counsel, and automotive market researchers engage. Pair it with financial, QoE, manufacturing, logistics, supply-chain, regulatory, legal, environmental, and LBO workstreams. It is an input to IC framing — not a full facility audit, floorplan review, recall study, environmental Phase II, or specialist automotive market report.
Underwrite the cycle engine before you underwrite the growth case
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Get a structured first-pass diligence pack — useful input for automotive thesis tests, cycle and F&I questions, EV transition and recall exposure, and IC prep, not a full specialist automotive study.
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