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Local consumer services LC-02

UK Restaurants & Hospitality

How restaurants make money, why a delivered cover is worth a third of a seated one, and what surviving operators do differently.

A restaurant can grow revenue every quarter and be closing. This is a sector that has lost 14.2% of its licensed outlets since 2020, where the largest available growth channel takes five to nine times the entire net margin of a full-service business. The model is a diagnostic architecture, not a claim that delivery should be abandoned or that every operator should raise prices.

Evidence read to 28 August 2026. Every figure below is tagged with where it came from.

00

At a glance

UK licensed outlets · March 2026, 14.2% below 2020

Observed

98,609

Active restaurants year on year · closures concentrated among independents

Observed

−1.3%

Net margin · full-service restaurants

Observed

3–6%

Aggregator commission most independents pay on platform-delivered orders

Observed

25–30%

Hospitality businesses under turnover pressure from labour costs · April 2026, highest of any sector

Observed

59%

01

The sector thesis

Five claims that define how UK restaurants should be understood.

One number governs this sector. UK full-service restaurants run net margins of 3 to 6%, and delivery aggregators take 25 to 30% of order value on platform-delivered orders from most independents. The largest available growth channel takes five to nine times the entire net margin of the business.

01

The commission is a multiple of the margin

Observed

A 28% commission against a 3 to 6% net margin is not a cost line to be optimised. It is a different business model attached to the same kitchen.

02

Incremental and substituted covers look identical

Modelled mechanism

A delivered cover filling idle kitchen capacity is worth having. One replacing a seated cover converts 47% modelled contribution into 17%. Nothing in the till distinguishes them.

03

This is a contracting market

Observed

98,609 licensed outlets in March 2026 is 14.2% below 2020, with roughly eight restaurant closures a day in the final quarter of 2024 and 3,353 hospitality insolvencies in 2025.

04

Labour has absorbed two legislated increases

Observed

Employer National Insurance in April 2025 and the National Living Wage rise to £12.71 in April 2026, on a base already at 25 to 35% of revenue.

05

Nothing about this sector is registered

Observed + limitation

No regulator, no professional body, and outlet counts from commercial databases that measure different things.

What the sector publishes

  • UK licensed outlets, March 202698,609Observed
  • Against 2020−14.2%Observed
  • Hospitality insolvencies in 20253,353Observed
  • Uber Eats published UK rate: platform-delivered / self-delivery30% / 13%Observed
  • Labour as a share of revenue25–35%Observed
  • Modelled contribution: on-premise against platform-delivered47% / 17%Modelled
  • Sector covers, occupancy and spend per headNot established

Set two published figures side by side and the problem states itself. Full-service restaurants run net margins of 3 to 6%; Uber Eats publishes a UK rate of 30% when it delivers and 13% when the restaurant does. The commission is not a marketing cost to weigh against alternatives — it is five to nine times the entire net margin, taken off the top of every order. That does not make delivery worthless. It makes it conditional: profitable when the covers are incremental, destructive when they substitute.

02

Scope, value chain & archetypes

No regulator, no register, and outlet counts that measure different things.

Scope

UK businesses whose core economic activity is preparing and selling food and drink for immediate consumption, across full-service restaurants, cafés, quick-service, takeaway and delivery-led formats. Excludes pubs whose economics are wet-led, hotels where accommodation is the operating core, contract catering, food manufacturers and the delivery platforms themselves.

The value chain

  1. 01DiscoverySearch, listing, review or passing trade
  2. 02BookingReserved, walk-in or ordered through a platform
  3. 03ArrivalSeated, collected or dispatched
  4. 04ServiceKitchen and front of house capacity consumed
  5. 05SpendCovers converted to revenue at spend per head
  6. 06ReviewPublic rating that governs future discovery
  7. 07ReturnOr not — repeat rate is the quiet variable

Archetype configurations

Independent full-service

Around 60 covers on table service across two services a day. Highest spend per head, highest labour share, and the format most exposed to substituted delivery covers.

Neighbourhood café or brunch

Daytime-led with high table turn and low spend per head. Labour-light relative to full-service and structurally limited by trading hours.

Quick-service and takeaway-led

Counter service, low spend per head, high throughput, and 35 to 60% of revenue through delivery channels. The format where aggregator commission is comparable to rent.

Multi-site local group

Three sites across mixed formats. Central purchasing and menu development improve food cost if the sites are genuinely standardised, and add overhead if they are not.

Delivery-led or ghost kitchen

No dining room. Published net margins of 10 to 30% reflect the absence of front-of-house cost, not a better product.

Wet-led pub

Outside the boundary. Drink-led gross margin, different licensing, different labour and different property economics.

Where value accumulates

28%

Kitchen & service delivery

26%

Cover occupancy

23%

Channel mix & margin

Data / financeability

Value in hospitality accumulates in occupancy and in channel discipline. Cooking well is necessary and confers less advantage than the sector believes — the market is full of good operators who closed. Advantage begins with filling seat-services that are already being paid for, compounds through channel mix that protects contribution, and is realised only when the site produces contribution without the owner in the kitchen.

An operator who owns the kitchen but not the channel decision has handed a third of their contribution to a supplier they never negotiated with.

Wet-led pubs are excluded on economics rather than on category: drink carries a different gross margin, a different labour model and frequently tied or tenanted property. A food-led pub sits inside the boundary; a drink-led one does not. The takeaway-led archetype is the interesting one, carrying 35 to 60% of revenue through delivery, which makes commission a modelled 12% of total revenue — comparable to rent, rates and utilities combined. Operators negotiate rent once a decade and accept commission as marketing. Only one of the two is changeable by a decision.

03

Market structure & demand

A contracting market losing outlets concentrated among independents.

Hospitality is the first sector in this series with no register of any kind. There is no regulator, no professional body count and no survey. Operator numbers come from commercial databases, and every operational figure in this model is modelled.

Demand segments

Occasion diner

Birthdays, anniversaries, celebrations. Highest spend per head, books ahead, and largely insulated from the discount competition.

Routine local

Weeknight and weekend habit trade. The repeat base that determines whether a site survives a quiet quarter.

Daytime and workday

Lunch, brunch and coffee. Limited by trading hours rather than by demand, and the segment most sensitive to nearby workplace patterns.

Delivery customer

Buys through a platform, has no relationship with the restaurant, and costs 25 to 30% of order value to reach.

Group and event

Pre-ordered, deposit-backed and capacity-efficient. The most profitable cover in the model and the least systematically pursued.

Discount-led

Arrives on a promotion and leaves with it. Fills seats at a spend per head that frequently fails to cover the marginal cost of service.

The demand regime

Underlying demand for eating outDurable
Discretionary deferral in a squeezeVery high
Price sensitivity, routine tradeHigh
Price sensitivity, occasion tradeLow
Switching costEffectively none

Commercial conclusion

This is a contracting market in which net closures fall disproportionately on independents. The commercial question is not how to capture share of a growing market. It is whether the unit economics of a given site survive two consecutive statutory labour increases and a growth channel that takes a quarter of order value.

Structural anchors

Active UK restaurants · commercial database

Observed · database

~89,600

Licensed outlets, March 2026 · different definition

Observed · database

98,609

Approximate restaurant closures · Q4 2024

Observed

8 per day

Sector covers, occupancy and spend per head

Not established

What this model does not claim

Not established

This model does not publish a UK hospitality market size, a regulator-grade operator count, or observed covers, occupancy or spend per head. There is no regulator and no survey. The two outlet figures cited measure different populations and are not reconciled. Margin benchmarks are operator-facing published guidance rather than surveyed data, cited as corridors.

Switching cost is effectively zero — no contract, no registration, no relationship, no friction of any kind — which is why the public review sits inside the value chain rather than after it. It is not feedback; it is how the next customer finds the site at all. It also explains the discount trap: a promotion reliably fills seats, and just as reliably fills them with customers who came for the promotion and do not return at full price. In a market losing a seventh of its outlet base, that is how a busy restaurant closes.

04

Revenue architecture

The same dish through two channels produces two different businesses.

Revenue begins with a fixed quantity of seat-services and is decided by two things the operator controls: how many are filled, and through which channel. The second decision is worth roughly thirty percentage points of contribution and is rarely made explicitly.

Revenue layers

On-premise covers

Seated service at full spend per head. Modelled contribution of 47% of menu price after food, packaging and direct labour.

Platform-delivered covers

25 to 30% commission before any cost of production. Modelled contribution of 17% on the same dish.

Direct and group

Own-channel collection, pre-ordered groups and events. Deposit-backed, capacity-efficient and the highest contribution per cover in the model.

Revenue identity

Site revenue = seats × services × occupancy × spend per head

Observed · commission against margin

Aggregator commission · platform-delivered

27%
14%35%

Net margin · by format

7%
3%30%

Commission most independents pay on platform-delivered orders

Observed · convention

25–30%

Modelled realisation waterfall

Menu price100%
After commission72%
After food cost44%
After packaging39%
After kitchen labour17%

What the waterfall shows

This is the platform-delivered order. The same dish sold on-premise skips the commission and the packaging and retains a modelled 47% at the same point. Delivery is not unprofitable — seventeen pence in the pound is real contribution — but it is roughly a third of what the identical dish produces through the dining room.

The revenue-quality path

  1. 01Low visibilityPlatform-led, contribution unmeasured by channel
  2. 02ModerateContribution measured separately for delivered covers
  3. 03HigherOwn-channel collection and self-delivery where it pays
  4. 04Platform qualityGroup and event book, deposit-backed and forecastable

Commission rates are negotiable and vary by agreement, volume and location. Uber Eats’ published UK rate card is the firmest anchor; Deliveroo and Just Eat ranges are reported convention. Covers, occupancy and spend per head are modelled: no source publishes them at sector level.

The gap between 17% and 47% is the sector’s largest controllable variable and the hardest to act on, because the decision is not really about delivery. It is about whether a given delivered cover is incremental or substituted, and those are completely different transactions that look identical in every system a restaurant operates. A Tuesday cover filling an idle kitchen is clearly worth taking. A Saturday cover that would have booked a table has converted 47 pence in the pound into 17, and nothing in the till distinguishes them.

05

Unit economics

Modelled archetype corridors, bracketed against published benchmarks.

Owner labour is normalised to a market replacement rate before economic EBITDA, which matters here because the owner is frequently the head chef. Aggregator commission is shown as its own line rather than inside marketing, because at the takeaway-led archetype it is comparable to rent.

Independent full-service · 60 covers

Revenue · downside, base, high

£500k · £611k · £733k

Normalised EBITDA

Downside£30k
Base£55k
High£95k

Highest spend per head and highest labour share. Most exposed to substituted delivery covers.

Quick-service / takeaway · counter

Revenue · downside, base, high

£365k · £445k · £534k

Normalised EBITDA

Downside£33k
Base£53k
High£85k

Commission at a modelled 12% of revenue — comparable to rent, rates and utilities combined.

Multi-site local group · 3 sites

Revenue · downside, base, high

£1.41m · £1.72m · £2.06m

Normalised EBITDA

Downside£113k
Base£189k
High£309k

Central purchasing improves food cost only if the sites are genuinely standardised.

Base central model: 60 covers · 2 services · 6 days · 48% modelled occupancy · £34 spend per head — roughly 17,970 covers a year

Three break-evens

Contribution break-even

Food and direct labour covered

EBITDA break-even

Rent, rates, utilities and commission covered

Statutory-shock break-even

Two consecutive legislated labour increases absorbed

All values are modelled archetype configurations. Published guidance puts independent full-service EBITDA at 8–15% and a healthy restaurant EBITDA at 10%, with net margins of 3–6% full-service and 6–9% quick-service. The corridors above bracket those figures; that is a validation, not a derivation.

Sixty covers over two services and six days gives 37,440 seat-services a year; at 48% occupancy and £34 spend per head that is roughly £611,000, and four points of occupancy is worth about £51,000 at close to full contribution. The third break-even is the one that decides survival. On a 3 to 6% net margin, a two-point rise in labour share removes between a third and two thirds of the entire margin, and no cost programme available to a single site offsets that.

06

Capacity & the overhead staircase

Capacity is seat-services, and an empty seat costs almost what a full one does.

Seat-services bind absolutely and cannot be increased without capital expenditure or longer trading hours. An empty seat at a laid table in a staffed dining room costs almost as much as a full one, which is why occupancy is the widest driver in the sector.

The capacity equation

Seat-services available

Covers multiplied by services per day, trading days and trading weeks. Fixed by the premises and the rota. Modelled at 37,440 a year for a 60-cover site.

Occupancy

The share of seat-services actually filled. Modelled at 48% for the independent full-service archetype and concentrated heavily into a small number of services.

Spend per head and channel

What a filled seat-service is worth, and through which channel it arrived. The gap between channels is roughly thirty percentage points of contribution.

Occupancy of available seat-services, by archetype

Quick-service / takeaway63% occ.
Neighbourhood café55% occ.
Multi-site group, blended51% occ.
Independent full-service48% occ.
Modelled practical ceiling72% occ.

Modelled occupancy against available seat-services. No source publishes UK restaurant occupancy and every figure here is modelled. The practical ceiling sits well below 100% because demand is concentrated into Friday and Saturday evenings, and a site sized for peak trade is structurally empty midweek.

Modelled occupancy, independent full-service archetype

Modelled

48%

Fifty-two per cent of seat-services are never sold, and the seat, the rent and most of the labour are paid for regardless. Four points of occupancy is worth roughly £51,000 a year at close to full contribution.

The overhead staircase

  1. 01Second chefConsistency stops depending on one person
  2. 02Front-of-house managerOwner leaves the floor during service
  3. 03Booking and deposit systemNo-shows stop consuming paid capacity
  4. 04Channel reportingContribution known separately by channel
  5. 05Second siteCentral purchasing and menu development
The question is never whether to grow but which step is next and what has to be true before it pays for itself. The channel reporting rung costs almost nothing, attacks the second widest variable in the sector, and is the one almost no independent site has taken.

The practical ceiling sits at 72% for structural rather than operational reasons: demand concentrates into Friday and Saturday evenings, and a site sized for peak is necessarily oversized for the rest of the week. A restaurant can turn away bookings on Saturday and sit half empty on Tuesday against the same fixed cost base — which is also where the delivery question resolves. Tuesday delivery covers are genuinely incremental and worth their 17%; Saturday ones are almost certainly substituting for a 47% cover.

07

Customer journey & cohorts

Nothing in the till distinguishes an incremental cover from a substituted one.

Hospitality does not usually have a food problem. It has an occupancy and channel problem, and both are decided before the customer arrives — one by discovery and booking, the other by a supplier contract most operators never renegotiate.

The pipeline

  1. 01DiscoverySearch, listing or review
  2. 02BookingReserved, walk-in or platform order
  3. 03ArrivalOr no-show
  4. 04ServiceCapacity consumed
  5. 05SpendConverted at spend per head
  6. 06ReturnRepeat, or not

Episode corridors

Modelled occupancy, full-service archetype

Modelled

48%

Modelled contribution, on-premise against delivered

Modelled

47% / 17%

Labour as a share of revenue

Observed

25–35%

Sector occupancy and spend-per-head benchmarks

Not established

Lifetime value is close to meaningless in independent hospitality and dangerous where it is assumed. Switching cost is zero, most sites cannot identify a repeat customer at all, and a delivery customer acquired through a platform belongs to the platform rather than the restaurant. Group and event customers are the exception and are the only segment where repeat behaviour can actually be tracked.

The dataset a diagnosis needs

  • Occupancy by service
  • Covers by service and day
  • Spend per head by service
  • Revenue by channel
  • Contribution by channel
  • Food cost against theoretical
  • Waste as a share of food cost
  • Labour as a share of revenue by service
  • No-show and cancellation rate
  • Commission paid by platform
  • Group and event covers
  • Repeat identifiable customers

Ask a prospect for these twelve figures. Most can produce revenue, covers and food cost. Contribution by channel, occupancy by service and waste against theoretical are the ones that are missing, and they bracket both of the sector’s widest drivers.

Two decisions determine whether a site works and neither happens during service. Occupancy by service is decided by discovery, booking and how the quiet periods are handled; channel mix is decided by a supplier contract. Both are invisible in the way most sites report — aggregate weekly covers conceal a full Saturday and an empty Tuesday, aggregate revenue conceals a channel taking 28% off the top. The available figures are the ones needed to file accounts; the missing ones are the ones needed to decide which covers are worth having.

08

The financeability ladder

Survival economics, not growth economics.

Hospitality has the lowest transferable value of any sector in this series and the highest failure rate. Roughly eight restaurants closed per day in the final quarter of 2024 and 3,353 hospitality businesses became insolvent in 2025, with losses concentrated among independents. The ladder below is ordered by survival, not by growth.

01

Owner in the kitchen

The owner is the head chef and the business is their working week. Consistency depends on their presence and nothing survives their absence.

Cost the owner’s kitchen time at a market head-chef rate.

02

Kitchen independent of the owner

A second chef holds the menu to standard. The site can trade without the owner present, though not without their oversight.

Measure food cost variance in the owner’s absence.

03

Channel economics known

Contribution measured separately for on-premise and delivered covers, and the incremental question answered for this site.

Instrument contribution by channel and occupancy by service.

04

Demand shaped, not accepted

Quiet services actively targeted, bookings deposit-backed, and a group and event book that is forecastable.

Report occupancy by service and group covers as a share of the total.

05

Transferable site economics

Contribution repeats without the owner, the menu is documented, and the site’s numbers survive a change of chef.

This is the only rung at which a site is worth more than its fixtures.

Structural signal

98,609 licensed outlets in March 2026 is 14.2% below 2020. Active restaurants fell 1.3% year on year to approximately 89,600. More than 4,000 closures occurred during 2024, roughly eight per day in the final quarter, and 3,353 hospitality businesses became insolvent during 2025. Net closures are concentrated among independent operators — the businesses with the least capital buffer, the weakest purchasing terms and no central function to absorb two consecutive statutory labour increases.

Outlet figures come from commercial databases rather than a regulator, and the two counts cited measure different populations. They are cited with that provenance. This model does not value hospitality businesses.

Competence is not sufficient, and the closure statistics say so. A site running a 3 to 6% net margin has almost no tolerance for error: two statutory labour increases on a base already at 25 to 35% of revenue, plus a channel taking a quarter of order value, can remove the entire margin without any operational failure. The honest position on rung five is that an independent restaurant is rarely worth much even at the top of the ladder. The rungs are worth taking for the operator’s own income, not for a saleable asset.

09

Risk & sensitivity

For the central archetype, occupancy is the widest modelled mover.

Modelled effect on normalised EBITDA of a one-standard-step move in each driver, independent full-service archetype, widest first. In a single-digit-margin business every driver on this list is capable of removing the entire margin on its own.

Modelled EBITDA sensitivity

Occupancywidest
Channel mix, delivery sharevery wide
Spend per headwide
Food cost percentagewide
Labour cost percentagewide
Rent and ratesmoderate

Reading the order

Unusually for this series, five of the six drivers sit close together. That is what a 3 to 6% net margin does: there is so little margin that almost any variable can consume all of it, which is why the sector’s failure rate is what it is.

Scenarios

Downside · labour absorbed

Two legislated increases taken without offsetting change. On a 3 to 6% net margin, two points of labour share removes a third to two thirds of the entire margin.

Base · channel unmeasured

48% occupancy, £34 spend per head, delivery contribution unmeasured. Roughly £611,000 and 9% normalised EBITDA.

High-performing · channel and occupancy managed

Four points of occupancy in quiet services plus delivered covers confirmed incremental. About £51,000 at close to full contribution.

Scaled winner · deposit-backed demand

Group and event book forecastable, kitchen buying against certainty rather than forecast, and food cost and waste falling together.

Indicators worth watching

  • Occupancy by service
  • Contribution by channel
  • Spend per head by service
  • Food cost against theoretical
  • Waste as a share of food cost
  • Labour share by service
  • No-show and cancellation rate
  • Commission paid by platform
  • Group covers as a share of total
These are modelled sensitivities on archetype configurations, not forecasts and not causal claims. That occupancy and margin move together in the model establishes where to look first, not that a given site will improve margin by pursuing occupancy. Causation must be tested on the operator’s own data before any intervention is priced.

This sensitivity chart looks different from every other in the series. Elsewhere two drivers dominate and the rest trail; here five of six sit close together, and the clustering is itself the finding. A two-point move in labour share, a three-point move in food cost, a five-point move in occupancy or a shift of covers from dining room to platform can each remove the entire margin independently. In most sectors an operational error costs margin. In this one it can cost the business, and 2025 delivered several at once.

10

AI & operating systems

Technology creates value only when it changes a measurable operating driver.

Technology creates value in hospitality only when it moves one of the drivers on the previous page. This is not a software catalogue and this sector is unusually well supplied with systems that add cost without adding contribution. Each intervention below names the driver and the test.

The drivers an intervention has to move

Occupancy by service

Seat-services actually filled

Contribution by channel

On-premise against delivered

Spend per head

Menu design and service

Food cost and waste

Actual against theoretical

Labour share by service

Rota against forecast covers

Contribution measured by channel

Driver: channel mix. Deducting food, packaging and direct labour separately for delivered and seated covers is an afternoon’s work and produces the single most useful number an independent site can hold. Test: contribution per cover by channel.

Occupancy reporting by service

Driver: occupancy. Aggregate weekly covers conceal a full Saturday and an empty Tuesday, and the quiet services are where both delivery and demand generation actually pay. Test: occupancy by service, weekly.

Deposit-backed booking

Driver: occupancy. A no-show consumes a reserved seat-service at a site already running roughly half empty. Deposits remove most of it at no ongoing cost. Test: no-show and cancellation rate.

Quiet-service demand targeting

Driver: occupancy. Midweek capacity is already paid for, so a cover added on Tuesday contributes far more than one added on a full Saturday. Test: occupancy by service, midweek.

Theoretical food cost tracking

Driver: food cost and waste. Actual against theoretical cost by dish separates purchasing problems from portioning problems from waste. Test: food cost variance against theoretical.

Rota against forecast covers

Driver: labour share. Scheduling built on forecast covers rather than on habit is the only labour lever available that does not reduce service. Test: labour share by service.

The commercial test that governs all six

Every intervention must name the driver it moves, the figure that will change, the measurement window and the threshold below which it is judged not to have worked — before it is built. An intervention that cannot state those four things in advance is not an economic intervention and should not be bought as one.

Sequence

Measure first, intervene second, re-measure third. In hospitality the correct order is almost always: measure contribution by channel, then occupancy by service, then fix no-shows, then target quiet services. Buying more demand before measuring channel contribution risks filling seats at a contribution that does not cover the marginal cost of service.

Almost every restaurant can be sold a booking system, a marketing package or a loyalty scheme, and for most none of those is the right first move: they all add covers, and adding covers is only valuable if the covers contribute. A site that does not know its contribution by channel cannot tell whether its last hundred delivered covers made money or moved money from a 47% channel to a 17% one. Measuring it requires no software purchase — the menu and a settlement report produce the number in an afternoon.

11

Maturity — from model to diagnosis

The sector model becomes commercially useful when a named operator is scored against it.

The sector model becomes commercially useful at the moment a named site is scored against it. The eight dimensions below convert everything in this model into a diagnostic that can be completed in a single working session with the operator’s own till, booking and settlement data.

Eight dimensions

Occupancy visibility

Occupancy by service, not aggregate covers

Channel economics

Contribution measured separately by channel

Menu contribution

Dish-level margin after actual food cost

Waste control

Actual food cost against theoretical

Labour scheduling

Rota built against forecast covers

Demand shaping

Quiet services targeted, bookings deposit-backed

Revenue quality

Group and event covers as a share of the total

Owner replaceability

Kitchen holds standard without the owner

Scored one to five

  1. 1Absent — the figure is not held
  2. 2Anecdotal — known by feel, not recorded
  3. 3Recorded — captured but not reviewed
  4. 4Managed — reviewed on a cadence with an owner
  5. 5Governed — targeted, forecast and acted on

What the scoring needs

  • Occupancy by service
  • Contribution by channel
  • Spend per head by service
  • Food cost against theoretical
  • Waste as a share of food cost
  • Labour share by service
  • No-show and cancellation rate
  • Group covers as a share of total
A site scoring at levels one and two across channel economics and occupancy visibility does not have a food problem, whatever the reviews say. It is running a single-digit-margin business without the two numbers that decide whether it survives, in a market that lost 14.2% of its licensed outlets in six years. Scoring the operator against these eight dimensions is what turns this sector model into a specific, priced piece of work.

Channel economics scores one almost universally among independents, and not because operators are careless: aggregator revenue arrives net in a settlement report and till revenue arrives gross, so the two are never naturally compared. The output is a profile rather than a total, and in a single-digit-margin business the profile decides which intervention is worth the operator’s limited attention. Sequencing follows the sensitivity ordering, which here means measurement before demand generation without exception — adding covers that do not contribute is actively harmful.

This is a sector-level economic model, not operator-level advice. Built from outlet databases, published margin benchmarks, platform rate cards, dated statutory labour changes, five archetype configurations and the Axial Economic OS. Observed facts, inferences, estimates and modelled values stay visibly separate. Evidence was read to 28 August 2026. Modelled values are archetype configurations rather than reported sector averages or benchmarks, and nothing here is a forecast. Where the sector supports no defensible figure the model says Not established rather than substituting a plausible one. A named-operator diagnosis confirms every relevant figure against that operator's own data before any intervention is priced.

See where your business sits against this model.

The model is the sector's. The numbers are yours. The diagnostic prices the gap between the two.