Dry Cleaner Business Idea Overview

Investment verdict01Is a Dry Cleaner Still Worth Opening in 2026?

Quick answer Yes, but only with the right plant model A well-run owner-operated store can produce roughly $85,000–$105,000 a year of owner-discretionary cash in a base case. A weak site, an overbuilt plant, or legacy solvent exposure can turn the same sales into little or no owner income.

The business is not disappearing, but it is changing. Suits and office wear are a smaller share of the basket than they were years ago, while convenience, pickup and delivery, wash-and-fold, alterations, household textiles, specialty garments, and commercial accounts matter more. Pricing power also exists: the U.S. Bureau of Labor Statistics reported that prices for laundry and dry-cleaning services were up 6.4% over the 12 months through May 2026 in its latest detailed CPI table.

That does not automatically make the economics attractive. Customers buy outcomes—clean garments, crisp finishing, stain removal, reliable turnaround, and convenience—not machine time. The plant still carries rent, labor, utilities, maintenance, claims risk, and working capital whether the racks are full or half empty. The strongest operators therefore sell a broader care service and drive repeat orders; the weakest compete only on the posted price of pants and shirts.

$45,200/month Illustrative operating cash break-even for a staffed on-site plant with a 64% contribution margin and about $28,900 of fixed monthly cash costs including scheduled debt service.

There is also a regulatory reset that cannot be treated as a footnote. EPA’s current rule phases PCE out of dry cleaning over ten years and prohibits its use in newly acquired machines after the applicable compliance date. The agency’s PCE risk-management page is essential reading before buying equipment or an existing shop. A low purchase price on a legacy PCE plant may be a stranded-asset discount, not a bargain.

What the verdict depends on
  • Prove enough recurring demand to support at least 60–80 orders per operating day, depending on ticket and service mix.
  • Choose a production model that does not force the first location to carry more equipment than its sales can absorb.
  • Treat solvent transition, environmental history, and equipment replacement as financing issues, not merely compliance tasks.

Business model choice02Which Model Makes Financial Sense: Drop Store, On-Site Plant, or Hub-and-Spoke?

This is the first real capital-allocation decision. The Census product structure recognizes both actual cleaning services and agency-style drop-off/pickup services, which is why two storefronts that look similar can have completely different assets and margins. The distinction is documented in the U.S. Census product list for NAICS 8123.

Drop store $35K–$95K Lowest capital need. Garments are processed by a wholesale plant. Gross margin is lower, but the store avoids a boiler, solvent system, major utility build-out, and much of the technical labor.
Package plant $217K–$570K Cleaning and finishing happen on site. This gives quality control and better unit economics at volume, but requires specialized equipment, maintenance, utilities, compliance, and trained production staff.
Hub-and-spoke $300K+ One central plant serves multiple counters or routes. It can spread plant overhead across more sales, but logistics, tagging accuracy, route density, and central-plant downtime become systemwide risks.

For a first-time owner, the drop-store model is often the cleanest validation vehicle. Assume wholesale processing consumes 45%–55% of retail garment revenue, then test whether the remaining margin covers rent, counter labor, delivery, marketing, and the owner’s time. If a store can establish a loyal book before bringing production in-house, the later equipment decision is based on actual order volume instead of hope.

Operator's take

The expensive mistake is not buying too little equipment. It is buying a plant sized for year-three volume before year-one demand exists. A modest wholesale margin with low fixed costs is usually safer than owning idle machinery financed over seven years.

An existing operation can be attractive because it comes with customer files, trained staff, a plant layout, utility capacity, and cash flow. But value the customer book separately from the equipment and the real estate. A machine with limited compliant life should be priced as a near-term replacement obligation. A route with scattered stops should be priced on contribution per route hour, not on gross sales.

Startup capital03What Does It Cost to Open a Full-Service Dry Cleaner?

Quick answer $217,000–$570,000 That is a planning range for a leased U.S. on-site plant using compliant cleaning and wet-cleaning capacity, a finishing line, tagging and conveyor equipment, leasehold improvements, and three to six months of working capital. A simple drop store can open for roughly $35,000–$95,000.

The range is wide because the building can cost as much as the machinery. A former cleaner may already have gas, steam, drains, three-phase power, ventilation, fire protection, and floor loading. A plain retail shell may need all of it. Equipment configuration also matters: a wet-cleaning-focused plant with outsourced specialty work has a different capital stack from a plant that handles dry cleaning, shirt laundry, household goods, alterations, and routes under one roof.

Startup item Low High What changes the number
Lease deposit and pre-opening occupancy $12,000 $30,000 Market rent, security deposit, free-rent period, and build-out delay
Build-out, plumbing, electric, gas, ventilation, fire $35,000 $110,000 Second-generation plant versus raw retail shell
Core cleaning equipment $70,000 $185,000 Capacity, new versus used, solvent choice, wet-cleaning system
Finishing line, spotting, steam, compressor $28,000 $75,000 Manual versus automated finishing and shirt volume
Conveyor, racks, tagging, bagging $12,000 $32,000 Store capacity, automation, and garment-tracking design
POS, hardware, security $4,000 $12,000 Stations, route features, customer app, and payment hardware
Permits, professional fees, training $6,000 $18,000 Environmental review, engineering, fire approval, and training scope
Signage and launch marketing $5,000 $15,000 Facade rules, route launch, direct mail, and local digital spend
Opening chemicals, supplies, packaging $3,000 $8,000 Service menu and inventory depth
Working capital $30,000 $60,000 Payroll ramp, rent, debt service, and speed of customer acquisition
Contingency $12,000 $25,000 Utility surprises, code upgrades, freight, rigging, and startup repairs
Total planned opening capital $217,000 $570,000 Before any real-estate purchase
Midpoint capital mix

Where a $393,500 Base-Case Build Goes

Core equipment is the largest single block, but build-out plus the “other setup” bundle can exceed it when a site is not plant-ready.

$127.5KCore equipment
$97KOther setup
$72.5KBuild-out
$51.5KFinishing line
$45KWorking capital

POS is not the budget problem, but it still needs to be modeled. Current specialty software can start around $89 per month for a small store, as shown on CleanCloud’s published pricing. The larger technology cost is implementation: tagging conventions, price lists, customer migration, route setup, payment hardware, and staff training.

Launch sequence04How Do You Open Without Buying the Wrong Equipment?

A realistic launch takes about four to nine months for an on-site plant and can stretch longer when utility upgrades, environmental review, zoning, or fire approvals are involved. The order matters. Signing a lease before confirming permitted use, exhaust requirements, gas capacity, wastewater rules, machine clearances, and solvent restrictions can make the cheapest-looking site the most expensive choice.

  1. 01Prove demand and define the service mixBudget $1,500–$5,000 for local research, competitor pricing, route mapping, and test marketing. Decide whether the first store needs production or can outsource it.
  2. 02Prequalify the site before committingUse an equipment layout, utility schedule, zoning confirmation, landlord approval, and contractor walk-through. The SBA notes that physical locations must conform to local zoning requirements in its business-location guidance.
  3. 03Choose the cleaning platform and financing togetherGet installed quotes, freight, rigging, warranty, training, utility consumption, and service coverage. Do not compare only machine purchase prices.
  4. 04Complete permits, engineering, and environmental workLocal business, building, fire, wastewater, air, hazardous-material, signage, and occupational requirements vary by location. The SBA license and permit guide explains why state, county, and city requirements must be checked separately.
  5. 05Install, commission, train, and soft-openHold back 10%–15% of build-out cash until systems are tested. Train on spotting, care labels, finishing standards, claims handling, tagging, and preventive maintenance before full-volume marketing begins.
The one equipment mistake to avoid

Do not finance newly acquired PCE equipment on the assumption that historical operating practice will continue. EPA’s 2025 dry-cleaner compliance guide lays out the transition dates. Match the equipment’s compliant life to the loan amortization and resale assumptions.

Wet cleaning is not simply a “green” marketing feature; it is a capacity and training choice. It may lower solvent dependence and expand washable-garment processing, but finishing skill, cycle programming, fabric knowledge, and dryer control decide whether labor and re-clean costs improve. Budget for training and slower output during the first weeks rather than assuming the new system immediately hits mature productivity.

Monthly cash burn05What Does It Cost to Run a Dry-Cleaning Plant Each Month?

For an illustrative mature plant generating $65,000 a month, operating costs before debt, taxes, replacement reserve, and owner compensation can run about $48,000 a month. Labor is the largest line. Utilities and maintenance matter, but they usually do not rescue a plant whose production hours are poorly scheduled.

Monthly cash expense Base case % of sales Planning note
Production, counter, and driver wages $20,500 31.5% Excludes owner-manager labor
Employer payroll taxes and benefits $3,400 5.2% Includes a planning load above base wages
Rent and common-area charges $6,000 9.2% Plant-ready space can justify a higher rent
Gas, electric, water, sewer $3,500 5.4% Depends on process, climate, rates, and heat recovery
Chemicals, filters, hangers, bags, packaging $4,600 7.1% Track by piece and by process
Repairs and preventive maintenance $2,000 3.1% Separate from long-term replacement reserve
Vehicle, fuel, and route expense $1,800 2.8% Only works with dense stops and adequate tickets
Insurance $1,100 1.7% General, property, workers’ compensation, vehicle, bailee
POS, phone, office, and admin $800 1.2% Software, connectivity, supplies, and bank fees
Marketing and customer retention $1,800 2.8% New-customer offers, local search, direct mail, retention
Waste, compliance, accounting, professional fees $1,000 1.5% Varies sharply by process and jurisdiction
Card-processing fees $1,500 2.3% Depends on card mix and average ticket
Total operating cost before owner, debt, tax, reserve $48,000 73.8% Leaves $17,000 of monthly EBITDA before owner labor

The national mean annual wage for laundry and dry-cleaning workers was $33,990 in the May 2024 OEWS release, according to the Bureau of Labor Statistics. Local wages can be materially higher. On top of wages, employers pay federal payroll taxes; the 2026 IRS Employer’s Tax Guide lists employer Social Security at 6.2% and Medicare at 1.45%, before unemployment insurance, workers’ compensation, benefits, and paid time off.

Operator's take

Do not cut labor by making every order wait. Compress production into planned batches. The goal is fewer paid setup and idle hours per piece, not fewer people on the clock while late orders pile up.

Efficiency investment should be measured in cost per processed piece. ENERGY STAR says certified commercial clothes washers use about 45% less water and are about 9% more energy efficient than standard models. That is useful, but the commercial washer efficiency benchmark should be combined with labor, cycle capacity, extraction, drying time, utility rates, and maintenance—not used alone.

Revenue engine06How Does a Dry Cleaner Make Money—and What Should It Charge?

Revenue is price multiplied by pieces, but the practical unit is the customer order. A store with a $28 average order, 2.5 pieces per order, and 90 orders per day across 26 operating days produces about $65,520 a month. That is the base-case sales level used in this article.

Service Planning price Margin note
Laundered and pressed shirt $4.50–$7.00 High-volume item; finishing labor and equipment utilization matter
Pants or slacks $9.00–$14.00 Good repeat item; claims and re-clean rates must stay low
Blouse or dry-cleaned shirt $10.00–$14.00 Fabric, trim, and hand finishing can change labor time
Two-piece suit $20.00–$32.00 Useful anchor price; inspect construction and stains before quoting rush work
Simple dress $15.00–$28.00 Complexity pricing is essential; “dress” is not one production unit
Coat $25.00–$45.00 Seasonal demand; down, trim, and length require add-ons
Comforter or household item $30.00–$60.00 Capacity and drying time can constrain throughput
Basic pant hem alteration $15.00–$30.00 Often attractive contribution if skilled labor is available

These are planning ranges, not national tariffs. Published U.S. price lists show the spread: Coastal Cleaners lists pants at $9.75 and a two-piece suit at $21.00, while Classic Cleaners lists slacks at $13.40 and a dress at $22.70. Compare the Coastal Cleaners price list with the Classic Cleaners price list, then build a local price book around garment complexity, turnaround, pickup, specialty handling, and competitive positioning.

Illustrative revenue mix

A Broader Basket Is Safer Than Suit-Only Demand

In this sample mix, traditional dry cleaning remains the largest segment, but more than half of revenue comes from adjacent services and convenience.

Illustrative dry-cleaner revenue mix Retail dry cleaning 48 percent, shirt laundry and wet cleaning 20 percent, alterations 12 percent, household and specialty 10 percent, route premium 6 percent, commercial accounts 4 percent. 100% revenue mix
Retail dry cleaning — 48% Shirt laundry and wet cleaning — 20% Alterations — 12% Household and specialty — 10% Pickup and delivery premium — 6% Commercial accounts — 4%

Do not use one flat markup across garments. A simple pair of pants and a beaded formal dress can have similar hanger count but radically different inspection, spotting, finishing, and claims exposure. Price the labor and risk. Add explicit charges for rush service, oversized items, down, fur or leather trim, excessive pet hair, specialty packaging, and route service when those costs are real.

Signature economics07Pieces per Labor Hour, Re-clean Rate, and Route Density Decide the Margin

The posted price gets attention, but three operating metrics explain most of the margin swing. First is pieces per paid production hour. Second is the percentage of pieces that must be cleaned, spotted, pressed, or delivered again. Third is route contribution per hour. A plant can look busy and still lose money if work-in-process is touched too many times.

Labor productivity8–12 pieces/hourIllustrative blended target across cleaning, spotting, finishing, assembly, and packaging. Compare by process and garment complexity.
Re-clean or re-press rateBelow 3%A directional planning target. Every repeat touch consumes labor and capacity without new revenue.
Route contribution$60+ per hourIllustrative minimum after variable processing, driver wage, fuel, and card fees. Dense recurring stops are the goal.
Industry-specific KPI Processing labor cost per piece = loaded production payroll ÷ completed pieces If loaded production payroll is $16,300 a month and the plant completes 10,400 pieces, labor costs $1.57 per piece. At 9,000 pieces, the same payroll costs $1.81 per piece—a 15% deterioration before any price change.
KPI Formula Planning benchmark Decision it drives
Average order value Sales ÷ orders $24–$35 in this model Pricing, service mix, route minimum
Pieces per order Pieces ÷ orders 2.2–3.0 directional target Counter selling, pickup economics, packaging
Pieces per labor hour Completed pieces ÷ production hours 8–12 blended planning range Scheduling, automation, staffing
Re-clean or re-press rate Repeat-work pieces ÷ completed pieces Target below 3% Training, quality control, machine settings
On-time completion rate Orders ready when promised ÷ due orders Target above 97% Batch planning, staffing, customer retention
Claims and credits Claims cost ÷ sales Keep below 1% of sales Inspection, disclaimers, training, insurance
Repeat-customer share Sales from returning customers ÷ total sales Target above 70% at maturity Retention, service recovery, marketing spend
Route contribution per hour Route gross profit ÷ driver and vehicle hours $60+ directional target Territory, stop minimum, route days

These benchmarks are explicit planning assumptions, not published national averages. They belong in the weekly dashboard because they show drift before the income statement does. OSHA’s dry-cleaning safety overview also makes clear that chemical, fire, and ergonomic hazards are part of the operating system. Productivity goals cannot be set by bypassing safe handling, ventilation, maintenance, or training.

Practical control

Post yesterday’s completed pieces, paid production hours, late orders, and re-clean pieces before the shift starts. A four-number huddle is more useful than discovering the problem after month-end payroll closes.

Owner economics08How Much Can a Dry-Cleaning Owner Actually Take Home?

Quick answer $0–$180,000+ per year The realistic range is wide because owner income is what remains after operating costs, debt service, taxes, equipment reserve, and working-capital needs. In the base scenario here, an active owner-manager can draw about $102,000 a year; a manager-run version would be lower by the replacement cost of the owner’s labor.

Revenue is not income, and EBITDA is not spendable cash. In this model, the owner works in the business and the wage table excludes a separate owner-manager salary. That is acceptable for household cash planning, but it overstates transferable profit. A buyer, lender, or investor should subtract a market replacement wage before valuing the operation.

Monthly scenario Conservative Base Upside
Revenue $45,000 $65,000 $90,000
Operating cost before owner and debt $41,000 $48,000 $63,000
EBITDA before owner labor $4,000 $17,000 $27,000
Debt service $4,500 $4,500 $4,500
Replacement and maintenance reserve $1,500 $1,500 $2,500
Illustrative tax reserve $0 $2,500 $5,000
Potential owner draw $0 $8,500 $15,000
Revenue$65.0K
Operating cost−$48.0K
EBITDA$17.0K
Debt−$4.5K
Tax and reserve−$4.0K
Owner draw$8.5K

The conservative scenario is the most important one. At $45,000 of monthly sales, the store is close to operating break-even but cannot support its scheduled debt and reserve. The owner may still work full time and take home nothing. This is why undercapitalized openings feel profitable at the counter but become cash emergencies on payroll week.

For a manager-run store, add a normalized manager cost of roughly $55,000–$75,000 a year plus payroll load as a local planning assumption. That reduction belongs below EBITDA when calculating investor return, resale value, and debt-service coverage. The owner’s hours are an economic cost even when no paycheck is issued.

Break-even and ramp09Where Is Break-Even, and How Long Until the Store Turns a Profit?

Cash break-even formula Break-even revenue = fixed cash costs ÷ contribution margin $28,900 ÷ 64% = $45,156, rounded to $45,200 per month. At a $28 average order and 26 operating days, that is about 62 orders per day, or roughly 155 pieces per day at 2.5 pieces per order.

This is operating cash break-even, not an acceptable owner outcome. To add a $6,000 monthly owner draw and a $1,500 replacement reserve, the same formula becomes ($28,900 + $7,500) ÷ 64% = $56,875. That is about 78 orders per day at the same ticket and schedule.

Illustrative 18-month ramp

Sales Can Cross Store Break-Even Months Before They Support the Owner

This sample ramp reaches operating cash break-even around month 6 and the owner-income threshold around month 10; slower repeat acquisition can push both dates back.

Illustrative monthly revenue ramp for a dry cleaner Revenue rises from 22 thousand dollars in month one to 72 thousand dollars in month eighteen, crossing a 45.2 thousand dollar operating break-even line around month six. Operating break-even $45.2K M1 M3 M6 M9 M12 M15 M18 $22K $72K

A drop store can reach break-even faster because fixed costs are lower, even though each order carries wholesale processing cost. A full plant often needs six to twelve months to reach operating break-even and ten to eighteen months to produce a stable owner draw. Those are planning ranges, not guarantees. A strong acquisition with retained customers may begin above break-even; a cold start in an over-supplied trade area may never get there.

What the spreadsheet hides

Break-even is not a single month. Payroll and rent arrive on schedule; customer growth does not. Keep at least three months of fixed cash costs available after opening, and more when the plant launches ahead of its customer book.

Capital stack10How Should You Fund Equipment, Build-Out, and Working Capital?

Match the financing term to the useful life of what it buys. Long-lived machinery and permanent build-out can carry term debt. Deposits, launch marketing, payroll ramp, repairs, and initial operating losses need equity or flexible working capital. Financing six months of payroll with a five-year equipment note makes the monthly payment look manageable while leaving no cushion for the actual ramp.

Source Best use Strength Main caution
Owner equity Deposits, contingency, working capital No scheduled payment Do not exhaust personal liquidity before opening
Equipment financing Eligible machines and installation Asset-matched collateral May exclude build-out, used equipment, tax, freight, or soft costs
SBA 7(a) loan Mixed project: equipment, build-out, working capital, acquisition Flexible permitted uses Documentation, guarantees, collateral, and debt-service coverage
Landlord allowance Permanent leasehold improvements Reduces upfront cash Often recovered through rent or longer lease term
Seller financing Existing-business acquisition Signals seller confidence and bridges valuation Subordination and equipment-condition disputes
Working-capital line Seasonal timing and short-term gaps Draw only when needed Not a substitute for a structurally unprofitable store

The SBA says 7(a) proceeds may be used for working capital, machinery and equipment, furniture and fixtures, real estate, and changes of ownership. Review the current SBA 7(a) loan uses before structuring the request. A lender will still underwrite the borrower, collateral, injection, management experience, projections, and ability to service debt.

Lender-readiness file
  • Installed equipment quotes showing capacity, warranty, training, service coverage, and solvent/process choice.
  • A month-by-month forecast with orders, pieces, average ticket, labor hours, contribution margin, debt service, and minimum cash.
  • Lease, zoning and permit pathway, contractor budget, environmental review, and landlord responsibilities.
  • For acquisitions, three years of tax returns, POS sales by service, customer concentration, payroll, utility bills, repair history, machine records, and claims.

A practical base-case capital stack for a $330,000 project might be $100,000 owner equity, $200,000 term debt, and $30,000 undrawn working-capital availability. The exact mix should preserve cash after opening. If the plan works only when every dollar of the owner’s savings is spent before the first order, it is not financeable in the real-world sense.

Downside control11What Can Wreck the Model?

The obvious risks are weak demand and high labor cost. The expensive, less obvious risks are environmental liability, a noncompliant or unsupported machine, plant downtime, poor garment tracking, and routes that create sales without contribution. Each one can erase several years of expected profit.

Risk Early trigger Financial impact Control
Legacy solvent or site contamination Historic PCE use, staining, old tanks, missing records Testing, legal delay, remediation, financing failure, impaired property value Environmental counsel and Phase I/Phase II due diligence before purchase or long lease
Machine downtime Repeat alarms, deferred service, unavailable parts $2,000–$10,000+ in repair, outsourcing, overtime, credits, and lost customers Preventive maintenance, parts list, service response agreement, backup plant relationship
Labor productivity drift Pieces per hour falls 10% for several weeks At $20,000 monthly production payroll, roughly $2,000 of monthly labor inefficiency Daily output board, batch schedule, training, layout improvement
Re-clean and claims Repeat-work rate above 3%; claims above 1% of sales Free labor, lost capacity, credits, replacement cost, reputation damage Counter inspection, photos, care-label review, process controls, bailee coverage
Low-density delivery route Long drive time, small tickets, missed windows Driver and vehicle cost exceed route gross profit Zone days, order minimums, recurring schedules, contribution-per-hour report
Price lag Wages and supplies rise while price book remains unchanged A 3-point margin loss on $780,000 annual sales equals $23,400 Quarterly item-level margin review and complexity add-ons

Environmental due diligence deserves its own budget. EPA explains that “all appropriate inquiries” evaluates a property’s environmental condition and potential contamination liability, and recognizes current ASTM Phase I standards for this purpose. See the agency’s All Appropriate Inquiries guidance. This is especially important when buying a former plant or the underlying real estate.

Highest-return risk control

Keep a written backup-processing agreement with another plant before a breakdown occurs. Paying a wholesale rate for a week is painful; losing the customer book because orders are trapped inside a disabled plant is worse.

Insurance should address property, general liability, workers’ compensation, commercial auto, equipment breakdown, business interruption, cyber/payment risk, and customer garments in your care. Coverage does not replace process control. Photograph high-value or damaged items at intake, document special risks, and keep claims authority tight enough that staff can resolve small problems quickly without promising replacement values the policy will not cover.

Return on capital12What Payback Period Is Realistic—and Is the Business Worth It?

Payback formula Payback period = initial owner investment ÷ annual cash flow available for payback For a $330,000 base project generating $95,000 of annual owner-discretionary cash after debt, tax reserve, and maintenance reserve, simple payback is about 3.5 years.
Conservative11.0 years$330,000 investment ÷ $30,000 annual cash. This outcome is too slow for the operating and equipment risk unless the real estate or strategic value changes the case.
Base3.5 years$330,000 ÷ $95,000 annual cash. This is investable if the owner’s labor is understood and the plant has a funded replacement plan.
Upside2.0 years$330,000 ÷ $165,000 annual cash. This requires strong utilization, repeat demand, controlled labor, and no major compliance or downtime event.

Simple payback is useful, but it is not a valuation. It ignores the ramp, financing structure, taxes, resale value, owner labor, and the timing of equipment replacement. A five-year forecast should include monthly sales for the first 24 months, annual price changes, wage escalation, maintenance capex, debt amortization, minimum cash, and a terminal equipment value that reflects regulatory and technical obsolescence.

The model connects in a specific order: startup investment creates the funding need and debt payment; price, pieces, and orders create revenue; order-level labor and supplies create contribution margin; rent and baseline staffing create break-even; working capital absorbs the ramp; debt, taxes, and replacement reserves reduce owner cash; productivity, re-clean rate, repeat-customer share, and route density signal whether the forecast is drifting.

Price × orders Pieces per order Labor per piece 64% contribution $45.2K break-even Debt and reserves Owner cash
Bottom line
  • A drop store is the better first move when demand is unproven or capital is below roughly $100,000.
  • An on-site plant is compelling when a real customer book can support at least $55,000–$65,000 of monthly sales and production capacity will be used.
  • The best return usually comes from repeat customers, disciplined labor, low re-work, and dense routes—not from squeezing another small discount from equipment cost.
  • Use a financial model, business plan, and lender package to test downside sales, equipment replacement, working capital, and owner compensation before signing the lease.

So, is it worth it? It can be. The business is attractive when the owner buys the right amount of capacity, protects the balance sheet from environmental and equipment surprises, and reaches a repeatable order base quickly. It is unattractive when the plant is built first and the customer book is treated as something that will appear later. In this trade, capacity is easy to buy. Recurring demand and consistent quality are the scarce assets.