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.
At a glance
UK licensed outlets · March 2026, 14.2% below 2020
Observed98,609
Active restaurants year on year · closures concentrated among independents
Observed−1.3%
Net margin · full-service restaurants
Observed3–6%
Aggregator commission most independents pay on platform-delivered orders
Observed25–30%
Hospitality businesses under turnover pressure from labour costs · April 2026, highest of any sector
Observed59%
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.
The commission is a multiple of the margin
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.
Incremental and substituted covers look identical
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.
This is a contracting market
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.
Labour has absorbed two legislated increases
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.
Nothing about this sector is registered
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 head—Not 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.
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
- 01DiscoverySearch, listing, review or passing trade
- 02BookingReserved, walk-in or ordered through a platform
- 03ArrivalSeated, collected or dispatched
- 04ServiceKitchen and front of house capacity consumed
- 05SpendCovers converted to revenue at spend per head
- 06ReviewPublic rating that governs future discovery
- 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.
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
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 · database98,609
Approximate restaurant closures · Q4 2024
Observed8 per day
Sector covers, occupancy and spend per head
Not established—
What this model does not claim
Not establishedThis 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.
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
Net margin · by format
Commission most independents pay on platform-delivered orders
Observed · convention25–30%
Modelled realisation waterfall
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
- 01Low visibilityPlatform-led, contribution unmeasured by channel
- 02ModerateContribution measured separately for delivered covers
- 03HigherOwn-channel collection and self-delivery where it pays
- 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.
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
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
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
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
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.
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
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
Modelled48%
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
- 01Second chefConsistency stops depending on one person
- 02Front-of-house managerOwner leaves the floor during service
- 03Booking and deposit systemNo-shows stop consuming paid capacity
- 04Channel reportingContribution known separately by channel
- 05Second siteCentral purchasing and menu development
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.
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
- 01DiscoverySearch, listing or review
- 02BookingReserved, walk-in or platform order
- 03ArrivalOr no-show
- 04ServiceCapacity consumed
- 05SpendConverted at spend per head
- 06ReturnRepeat, or not
Episode corridors
Modelled occupancy, full-service archetype
Modelled48%
Modelled contribution, on-premise against delivered
Modelled47% / 17%
Labour as a share of revenue
Observed25–35%
Sector occupancy and spend-per-head benchmarks
Not established—
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.
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.
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.
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.
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.
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.
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.
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.
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
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
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.
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.
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
- 1Absent — the figure is not held
- 2Anecdotal — known by feel, not recorded
- 3Recorded — captured but not reviewed
- 4Managed — reviewed on a cadence with an owner
- 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
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.