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Real Estate — Co-working

Co-working

A spread business dressed as real estate: take space on a long lease, fit it out, and sell it by the seat at a markup. The spread is thin, the capex is real, and the whole model turns on occupancy holding above the rent line.

Realisation per seat minus rent and amortised fit-out is the entire economics. Above roughly 48% rent-to-revenue on a fitted-out property, the maths stops working — so occupancy, lock-in and centre size decide everything.

01 — Market Map

Four parties, five formats, one fragmented market.

Who is in the deal

  • Landlord
    Owns the asset. Under profit-share structures, also funds the fit-out.
  • Operator
    Takes the space, fits it out, sells seats. The equity in the spread.
  • Client
    From single desks to whole-floor anchors.
  • Brokers / IPCs
    CBRE, JLL, Cushman. A channel with a cost attached.

Formats, cheapest to richest

  • Virtual office
    Address only, often for GST registration. Negligible capex.
  • Co-working
    Retrofit, furniture, fittings, amenities. The classic shared format.
  • Flexible workspace
    Short-tenure, variable seat count.
  • Built to suit
    A section dedicated to one company.
  • Managed office
    Entire space taken by one client — from the operator's standpoint, the cream: fully occupied, better tenure.
STRUCTURE

~400 operators

Top 10 control roughly 60% of seats. Fragmented below that.

FOOTPRINT

1,250 vs 400+ centres

Tier 1 versus Tier 2. Bangalore and Pune are the two largest markets.

DEMAND

~40% IT & ITES

Followed by services and finance. GCCs, MNCs, large corporates and SMEs.

02 — Structure & Economics

The spread, and the thresholds that protect it.

Around 90% of the industry runs on a straight lease. The operator signs a long lease, funds the fit-out, and carries the occupancy risk. The alternatives are asset-light: a managed-aggregation or profit-share structure where the landlord funds capex against a minimum guarantee — typically three to six months of rent or deposit — or an owned/fractional model.

Space is taken in three conditions. Bare shell is cheapest and needs the most capex; warm shell sits in between; fitted-out costs more in rent but almost nothing upfront. The trade is capex today against rent forever, and the rent-free period negotiated at acquisition is a real part of the return.

The two hard thresholds. A centre below roughly 6,000 sq ft is not operationally sustainable. On a fitted-out property, once rent exceeds about 48% of revenue it is difficult to make money. These are the fastest screens to apply to any new centre in the pipeline.

Industry standards

  • Area per seat
    30–35 sq ft carpet
  • Capex, bare shell
    ~₹2,250 per sq ft carpet — about ₹2.5–3 crore for a 10,000 sq ft centre
  • Average occupancy
    ~72%, with only 10–15% floating seats. 100% is never reached
  • Client tenure (ALOS)
    12–18 months for ~55% of clients; ~25% stay three years
  • Stabilised occupancy
    Roughly 12 months post-launch

Capex composition

  • AC — 25%
  • Furniture & chairs — 20%
  • Electrical — 15%
  • Partitions & glass — 15%
  • Flooring & carpet — 10%
  • IT — 5%
  • Painting — 5%
  • Miscellaneous — 5%
Revenue is not only rent. Seat rental is the base, with parking, F&B and value-added services layered on top. Micro-market matters enormously: a BKC or CBD Bangalore location commands rents that a Pune or Noida micro-market cannot, so a seat-count expansion into Tier 2 lowers blended realisation per seat even as the headline seat number grows.
03 — What Drives a Winner

Occupancy, tenure, and capital structure.

— 01

Occupancy above the rent line

At ~72% average occupancy and a 48% rent-to-revenue ceiling, there is little margin for error. Sustained occupancy in mature centres is the whole business.

— 02

Managed & anchor tenure

Managed offices are fully occupied with better tenures. Large clients — those above 100 or 300 seats — bring longer lock-ins and lower churn than the 12–18 month co-working norm.

— 03

Asset-light structure

Profit-share and managed-aggregation models push capex to the landlord and diversify risk. The payback period must sit inside the lease lock-in, or the operator is exposed.

04 — Diligence Checklist

What to answer before underwriting.

  • Model split. Straight lease versus managed aggregation versus owned. What share of centres sits in each, and where is the capex burden?
  • Does payback fit the lock-in? The single most important structural question. If payback runs past the lease lock-in, the operator carries uncompensated risk.
  • Occupancy by cohort. Mature versus recently launched centres, and across Tier 1 and Tier 2. A blended number hides the ramp.
  • Realisation per seat by micro-market. How much of seat growth is coming from lower-rent micro-markets, and what does that do to blended realisation?
  • Client concentration and lock-in. Top-five and largest-client share, weighted average lock-in, and fall-off rates at 12, 18 and 36 months.
  • Multi-centre clients. What share of occupied area comes from clients taking seats in more than one centre? A stickiness indicator.
  • Signed but not operational. LOIs and under-construction seats against the current base, and the construction-to-launch timeline.
  • Channel mix. Seats sold direct versus through IPCs and brokers, and what alternate channels are being built.
  • Landlord terms. Rent-free period post-acquisition, minimum guarantee, and where landlords push back on funding capex.
  • Minimum centre size. What threshold will the company not operate below, given the ~6,000 sq ft sustainability floor?
05 — KPIs to Track

What to monitor, quarter by quarter.

KPICalculation / sourceBenchmark or read-through
Occupancy %Occupied seats ÷ operational seats~72% industry average; split mature vs ramping centres
Realisation per seatRevenue ÷ occupied seats ÷ monthFalls as the mix shifts to Tier 2 — check against seat growth
Rent ÷ revenueLease cost ÷ centre revenueAbove ~48% on fitted-out property, profitability is very difficult
Capex per sq ftFit-out cost ÷ carpet area~₹2,250 bare shell; overruns extend payback directly
Payback vs lock-inMonths to recover capex vs lease lock-inPayback must sit inside the lock-in — the core structural test
Operational seats & pipelineLive seats, signed, under constructionSigned-but-not-live is future revenue and future capex
Time to stabilised occupancyMonths from launch~12 months; slippage signals weak demand or poor location
Weighted average lock-inContract scheduleLonger lock-ins de-risk the spread; managed offices score best
Churn / fall-off rateAt 12M, 18M, 36MAgainst the ALOS norm — ~55% at 12–18M, ~25% to three years
Client concentrationTop 5 and largest client shareRoughly 9% top-five and 3–4% largest is a healthy spread
Large-client cohortShare of base from 100+ and 300+ seat clientsHigher share = longer tenure and lower churn
Direct vs broker mixSeats sold by channelBroker dependence is a permanent cost on the spread
Centre-level EBITDA marginBy centre, and blendedBlended margin hides loss-making centres — always ask for the split
Ancillary revenue shareParking, F&B, VAS ÷ totalHigher-margin and less rent-sensitive than seat revenue
06 — Risks & Red Flags

How the thesis breaks.

  • !
    Duration mismatch. Long leases against 12–18 month client tenures is the structural fragility of the model. A demand shock leaves the rent obligation intact.
  • !
    Occupancy slipping below the rent line. With a 48% rent-to-revenue ceiling and ~72% typical occupancy, a few points of occupancy decides profit or loss.
  • !
    Growth that dilutes realisation. Adding seats in low-rent Tier 2 micro-markets grows the headline seat count while lowering revenue per seat and possibly margin.
  • !
    Sub-scale centres. Anything below ~6,000 sq ft is structurally unviable; a pipeline full of small centres is a warning.
  • !
    Capex ahead of demand. Fit-out is sunk on signing. Speculative expansion into unproven micro-markets is where the capital goes.
  • !
    Anchor client loss. A managed-office or large anchor departure leaves a large block of empty, fully-rented space at once.
  • !
    Sector concentration. With ~40% of demand from IT and ITES, a tech hiring downturn hits occupancy across the portfolio simultaneously.
07 — Key Numbers

The figures, and where they stand.

MetricValueNoteBasis
Operators in India400+Top 10 control ~60% of seatsResearch note
Lease-model share~90%Straight lease dominates the industryResearch note
Centres — Tier 1 vs Tier 21,250 vs 400+Bangalore and Pune the two largest marketsResearch note
Client mix — IT & ITES~40%Then services and financeResearch note
Area per seat30–35 sq ftCarpet areaIndustry standard
Capex, bare shell~₹2,250 / sq ft≈ ₹2.5–3 crore for 10,000 sq ftIndustry standard
Minimum viable centre~6,000 sq ftBelow this, not operationally sustainableIndustry standard
Rent-to-revenue ceiling~48%Fitted-out property; above this profitability is very hardIndustry standard
Average occupancy~72%Only 10–15% floating seatsResearch note
Client tenure (ALOS)12–18M (~55%)~25% stay three yearsResearch note
Time to stabilised occupancy~12 monthsPost-launchEst.
Minimum guarantee to landlord3–6 monthsSpace or deposit, under profit-share structuresResearch note
Healthy client concentrationTop 5 ~9%Largest client 3–4%Research note
Basis. Figures are drawn from the firm's sector research notes and stated as ranges where sources differ. Point-in-time data should be re-dated before it is relied on in a live thesis; items marked Est. are directional.