// DEEP-CONTEXT INTELLIGENCE · SGAI · Singapore · 2026

Starting a cleaning company in Singapore, decoded.

It looks like the easiest business to start — a van, a mop, a few cleaners. The numbers say otherwise. Singapore's cleaning industry turns over ~S$3.6 billion a year, yet the official statistics show the whole sector keeping a sliver: an operating surplus of about 2.4% — and a loss in 2022. Here is what the “start with S$0” guides skip: the mandatory NEA licence, a cleaner wage floor that rises by law every year, a quota on the workers you depend on, and the one model that actually holds its margin.

~S$3.6B

cleaning receipts / year

SingStat (SSIC 812), 2024

~2.4%

sector operating surplus

negative in 2022 — SingStat

S$1,910

cleaner wage floor / mo

PWM entry, from Jul 2025

Licence

NEA, mandatory

up to S$10k fine to skip

The verdict, in one number

The MOAT Score: is a cleaning company worth building?

Before the details, our one-number read. The MOAT Score grades a sector's economic quality on the value-investing lens of Graham, Buffett and Munger — four pillars (Margin, Operating moat, Appetite, Treadmill), each out of 25. Cleaning is a genuine puzzle: the most durable demand and the stickiest contracts of any low-skill trade, gated by a real licence — wrapped around the thinnest margins we have measured anywhere.

M — Margin: 7/25O — Operating moat: 11/25A — Appetite: 19/25T — Treadmill: 12/25DMOAT
The MOAT Score
49/100

Winner-takes-most

Winner-takes-most — hard.

The MOAT Score · M · O · A · T

How the score is built

The MOAT Score sums four pillars — each scored 0–25 — from the value-investing lens of Graham, Buffett and Munger. No black box: here is the working.

  • Margin

    7/25

    Does the average operator actually keep money — real net margin and return on the capital tied up?

    This sector: the thinnest in our coverage — SingStat's own “Cleaning Activities” industry kept a ~2.4%SourceSingStat SSIC 812, 2024 operating surplus, and ran a loss in 2022. Asset-lightness and a disciplined contract book are the only way to beat the squeezed average.

    Buffett 1979 — “a high earnings rate on equity capital… without undue leverage”; 1986 owner earnings.

  • Operating moat

    11/25

    Pricing power and a durable competitive advantage — can a typical operator raise prices and have customers shrug?

    This sector: the one redeeming pillar: a real statutory licenceSourceNEA Cleaning Business Licence (EPHA), 2024 plus genuine switching costs on multi-year B2B / MCST / government contracts — but the bar is low and tenders are fought on price, so it is a mild moat, not a deep one.

    Buffett, FCIC 2010 — pricing power is “the single most important decision”; 1991 franchise; 2007 moat.

  • Appetite

    19/25

    Demand durability — steady, recession-resistant repeat demand vs fragile, discretionary or faddish.

    This sector: cleaning is non-discretionary and recurring — offices, hospitals, condos, food courts and town councils always need it; demand is steady through any cycle.

    Graham, Security Analysis Ch.2 — inherent stability “derives from the character of the business”.

  • Treadmillinverted · less is better

    12/25

    Capital intensity and structural drag — rent, churn, fashion, discounting. Scored inverted: less treadmill, more points.

    This sector: asset-light is the saving grace, but a statutory wage floorSourceMOM Progressive Wage Model, 2025 rising ~+9%/yr, a foreign-worker quota + levy and a chronic labour shortage are a relentless drag.

    Buffett 2007 — “the worst sort of business… requires significant capital… Think airlines.”

Total · Winner-takes-most — hard

M + O + A + T, out of 100

49/100

The MOAT Score is a transparent SGAI judgement on a sector’s economic quality through a value-investing lens — not a verdict on any individual business, and not a comment on an owner-operated livelihood (a sector can score low on capital returns yet work as a job).

The read: it's not a cleaning business — it's a labour-arbitrage business with a government-set floor

Almost every other sector we cover sells a product with a margin. Cleaning sells labour, and the price of that labour is set by the state, not by you. For every Singaporean or PR cleaner, the Progressive Wage Model fixes a minimum monthly wage — S$1,910SourceMOM PWM, Cleaning, Jul 2025 for an entry-level office cleaner today — and that floor rises by law to S$2,420 by 2028, about +54% over five years, with a mandatory two-week bonus on top. You cannot out-cheap that. Your competitor pays the same floor.

So you reach for foreign workers — and hit the second wall. Cleaning sits in the Services sector, where Work Permit + S Pass holders are capped at a 35%SourceMOM Dependency Ratio Ceiling, Services, 2026 Dependency Ratio Ceiling, each carrying a monthly levy of S$300–800SourceMOM services-sector Work Permit levy, 2026. To unlock that foreign quota you must employ enough locals — the very workers who, in the government's own words, are “not keen to join the sector.” You are squeezed on both sides at once.

That is why the sector aggregate is so thin. SingStat's industry table for “Cleaning Activities” shows operating costs consuming ~99.8% of every revenue dollar in 2024, leaving a sector-wide operating surplus near 2.4% — and a collective loss in 2022 as wage hikes bit. The escape is not effort; it is contract design: sticky, recurring, outcome-based B2B work where you compete on reliability and productivity, not on the lowest man-hour quote.

The comparison

The wage floor you can't undercut

Under the Progressive Wage Model, the minimum monthly wage for an entry-level office/commercial cleaner (citizens & PRs) is set by law and rises on a fixed ladder. This is your largest cost line — and it only goes up.

Source: MOM Progressive Wage Model — Cleaning sector, Group 1 (office/commercial), entry-level cleaner, 2023–2028

The map: a ~S$3.6B industry — and the “S$300M market” everyone repeats is junk

For once there is a clean, official number. SingStat's industry statistics put “Cleaning Activities” (SSIC 812) at ~S$3.6BSourceSingStat, Key Indicators by Detailed Industry, 2024 of operating receipts across about 2,316 establishments, up roughly 6.7% a year from S$2.6B in 2019. Ignore the sourceless ~S$300MShaky figure — treat with cautionindustry blog, no citationA figure that circulates with no source or year. SingStat puts the industry at ~S$3.6B. Anchor on SingStat. figure that circulates online, and ignore the market-research PDFs that paywall their numbers and contradict each other — one redacts the dollar value entirely and leaks only a 5.8% CAGRShaky figure — treat with cautionaggregator reportPublic page redacts the actual market value behind a paywall and cites no Singapore primary data. Use SingStat instead.. And mind the distinction: a contract cleaner on a recurring office/condo book is a different business from a gig home-cleaning platform — one is sticky, one is commoditised.

~S$3.6B

cleaning receipts / year

SingStat SSIC 812, 2024

2,316

cleaning establishments

SingStat, 2024

~2.4%

sector operating surplus

loss in 2022 — SingStat

~55,000

cleaners in the workforce

~41,200 resident — NEA, 2022

The trend

The market grows; the margin doesn't

Operating receipts for the cleaning industry have climbed steadily — but the gross operating surplus barely registers, and turned negative in 2022 when Progressive Wage hikes and post-COVID costs bit. Growth without margin is the sector's signature.

2014: S$1,646M20142019: S$2,607M20192023: S$3,268M20232024: S$3,601M2024S$3,601M

2024S$3.60B receipts — but only ~S$87M operating surplus (~2.4%)

Source: SingStat, Key Indicators By Detailed Industry In All Services Industries (SSIC 812, Cleaning Activities), operating receipts, 2014–2024

The players: who you're really studying

Two leagues, two destinies. The integrated contract cleaners run sticky multi-year books and command real enterprise value; the gig home-cleaning platforms are commoditised and fragile. The single most predictive question is whether revenue recurs under contract — or is re-won, job by job.

The comparison

Contract stickiness separates the survivors

  • 800 Super

    Integrated environmental + cleaning

    Model
    Waste + cleaning + conservancy, long govt contracts
    Recurring contracts?
    Real moat?
    Financial signal
    ~6% net (FY18); ~S$380M→>S$600M EV (2019–24)
  • ISS Facility Services SG

    Local arm of global ISS A/S

    Model
    Integrated facilities + cleaning
    Recurring contracts?
    Real moat?
    Financial signal
    5,000+ staff in SG; scale + compliance edge
  • Chye Thiam / Campaign / Ramky

    Established contract cleaners

    Model
    B2B/government contract cleaning
    Recurring contracts?
    Real moat?
    Financial signal
    Private — no audited accounts public
  • Helpling / Luce

    Home-cleaning platforms

    Model
    Gig / part-time home cleaning, ~S$18–26/hr
    Recurring contracts?
    Real moat?
    Financial signal
    Price-transparent, low switching cost
  • Sendhelper

    Home-services platform

    Model
    Pure gig home cleaning
    Recurring contracts?
    Real moat?
    Financial signal
    Closed April 2025
yes partial noSource: SGAI synthesis of company filings + reporting, 2018–2026. Private contract-cleaner revenues are not publicly audited; 800 Super FY2018 = S$9.1M net on S$151.1M (integrated group, since privatised).

The cautionary tale: Sendhelper

Sendhelper was a well-known home-services platform — and it shut its cleaning business in April 2025. Pure gig home-cleaning has near-zero switching cost: the customer compares hourly rates, the cleaner can be booked through anyone, and the platform captures a thin take. Volume is not a moat. The lesson runs the other way too — the operators that compound are the ones holding a recurring contract book, not the ones chasing the next one-off booking.

The customer: the dollars are in contracts, not in homes

Cleaning demand splits into a sticky institutional majority and a fragmented retail tail. The largest, stickiest dollars come from B2B / public-sector contracts — offices, condos bought through the MCST managing agent (the real decision-maker, not the residents), F&B, healthcare, and town councils, where government buyers have been required to use outcome-based contractingSourceNEA Environmental Services ITM, since May 2020. Residential is higher-frequency but lower-ticket and price-driven. No source publishes a clean split; the shares below are an SGAI estimate of dollar value, clearly flagged.

The customer

Where cleaning revenue comes from (by dollar value)

Indicative SGAI estimate of demand by value: the recurring B2B/public contract book dwarfs retail home cleaning. No official split exists — treat the proportions as a directional frame, not a measured figure.

Offices & commercial (incl. malls, retail): 34%Condos / MCSTs (via managing agent): 20%Government / town councils (conservancy): 18%Healthcare, industrial, schools, F&B: 16%Residential / home cleaning: 12%
B2Brecurring contracts are the prize
  • Offices & commercial (incl. malls, retail)34%Daily weekday contracts — the largest single driver
  • Condos / MCSTs (via managing agent)20%The MA is the buyer & gatekeeper, not the residents
  • Government / town councils (conservancy)18%Huge, sticky, outcome-based since May 2020
  • Healthcare, industrial, schools, F&B16%Compliance-heavy, specialised contracts
  • Residential / home cleaning12%High-frequency, low-ticket, price-driven, commoditised

Source: SGAI estimate of demand by dollar value (no official split exists). Directional only. Channel facts: MCST/MA buyer (Ohmyhome/PropertyGuru); govt OBC mandate from May 2020 (NEA ES ITM).

The economics: labour eats almost everything

The good news: you can start lean. Unlike a café or clinic, there is little fit-out — equipment is modest (and the Productivity Solutions Grant subsidises robotic scrubbers through Mar 2027). The bad news is the P&L. Labour — wages, CPF, the PWM bonus, the foreign-worker levy — is the overwhelming cost, and it is set by statute. SingStat's industry figures show operating costs taking ~99.8% of revenue in 2024. The model only clears a real margin with high contract density, low overhead, and pricing that passes through the wage ladder — not the lowest bid in the tender.

The range

All-in to start a small commercial cleaning company

TypicalS$45k
S$15kS$120k+

ACRA (~S$300), the NEA licence (S$130, S$180 from Apr 2026), bizSAFE + WSQ training for every cleaner, equipment/supplies, insurance, and — the real number — working capital to fund payroll before contracts pay you. Class 2 needs S$25k paid-up capital; Class 1 needs S$250k. Asset-light, but cash-flow-hungry.

Source: SGAI synthesis of NEA fees + ACRA + training/equipment + working-capital needs, 2026. Indicative.

The margin breakdown

Where the cleaning-contract dollar goes

A typical commercial contract-cleaning P&L, modelled per S$100 of revenue. Labour — statutory PWM wages, CPF, the mandatory bonus and the foreign-worker levy — is the line that dominates everything.

Revenue (per S$100 of contract value)100%
Cleaner wages + CPF + PWM bonusForeign-worker levy + supervisionConsumables + equipment + transportOverhead (admin, licence, bizSAFE, insurance)Bad debt / contract slippageNet margin
Revenue (per S$100 of contract value)100%
  • Cleaner wages + CPF + PWM bonus
    58%
    42% left

    Statutory PWM floor rising to S$2,420 by 2028 · MOM PWM

  • Foreign-worker levy + supervision
    12%
    30% left

    S$300–800/head/mo levy; site supervisors · MOM levy, Services

  • Consumables + equipment + transport
    13%
    17% left

    Chemicals, machines (PSG-subsidised), logistics

  • Overhead (admin, licence, bizSAFE, insurance)
    11%
    6% left

    Compliance + back-office

  • Bad debt / contract slippage
    2%
    4% left

    Late-paying buyers, scope creep

Net margin

What the owner actually keeps

4%

Verdict: A modelled ~4% — better than the SingStat sector average of ~2.4%, and only achievable with high contract density and tight overhead. One under-priced tender or a missed quota and it flips negative.

Illustrative model on SG benchmarks + SingStat SSIC 812 cost ratios (2024). Cleaning net margins are among the thinnest measured anywhere; the sector ran an outright loss in 2022. Not financial advice.

Labour as a share of revenue70%

Wages + levy + supervision typically run ~55–75% of a contract. The lower you can push it with route density and productivity tech, the more survives.

SGAI model on SG benchmarks; SingStat opex ratio ~99.8% (2024)

Sector operating surplus (SingStat)2.4%

The whole industry kept ~2.4% of receipts as operating surplus in 2024 — and lost money in 2022. The thinnest margin in our coverage.

SingStat SSIC 812 — gross operating surplus / operating receipts, 2024

The value-investing verdict · Graham · Buffett · Munger

Cleaning services company

No

Would a value investor own the average operator here?

A value investor would not want the average cleaning operator — margins are the thinnest we measure and the wage floor only rises — but the disciplined winner with a recurring B2B contract book and real licence is a genuinely different, ownable business.

Pricing powerMostly price-taker
Price-takerPrice-maker

Open tenders are won on price; the PWM floor is shared by every competitor. Pricing power exists only via specialisation, outcomes and switching costs on an embedded contract.

Buffett, FCIC 2010 — pricing power is “the single most important decision”

Moat Stable
Licence / IP

A real NEA Cleaning Business Licence + switching costs on multi-year B2B/MCST/govt contracts — but a low licence bar and commodity, price-fought tenders keep the moat shallow.

Buffett 1991 — a franchise needs a barrier and freedom from price regulation

Return on capitalMediocre

Asset-light, so even thin profit is a decent return on little capital tied up — but the profit itself is wafer-thin.

Buffett 1979 — a high earnings rate on capital, unleveraged

Capital intensity / treadmillLight

Low fit-out; equipment is modest and PSG-subsidised. The binding constraint is working capital and labour, not capital expenditure.

Buffett 2007 — the worst business needs much capital; this one does not

Demand durabilitySteady

Non-discretionary and recurring — offices, hospitals, condos and town councils always need cleaning, through any cycle.

Graham, Security Analysis Ch.2 — inherent stability is qualitative

Labour / wage treadmillHeavy

A statutory PWM wage floor rising ~+9%/yr, a foreign-worker quota + levy, and a chronic labour shortage — the structural drag is brutal even though capital is light.

MOM PWM + Dependency Ratio Ceiling, Services

If not the average — what a winner needs

A recurring B2B/MCST/government contract book (the real switching-cost moat), specialisation that escapes the price war (post-reno, disinfection, medical, façade), and productivity/AI on rostering + outcome-audit so you win on outcomes, not headcount.

Assessment uses the value-investing lens on SG cleaning unit economics (SingStat SSIC 812, MOM PWM, NEA licensing, 2024–2026). A lens on economic quality, not a verdict on an owner-operated livelihood.

Model your own contract margin — drag the sliders:

S$24
10
30% · cap 35%
180h
S$1,910
S$600
14%

Local wages carry ~21% on top for CPF + the mandatory PWM bonus. Foreign cleaners add the monthly levy (no CPF), and are capped at a 35% Dependency Ratio Ceiling for the Services sector. Currently modelling 7 local and 3 foreign cleaners.

Net margin on the contract

31.1%

vs ~2.4% sector average (SingStat, 2024)

Monthly net

S$13,444

Labour / revenue

55%

healthy

Verdict: Strong for this sector — pressure-test your billing rate; in open tenders it’s the fragile input.

Illustrative model on SG benchmarks + MOM PWM/levy figures (2025–2026). The cleaning sector keeps ~2.4% operating surplus industry-wide and ran a loss in 2022, so this is a starting frame, not financial advice. Labour gauge: ≤55% healthy, 55–70% tight, >70% danger.

How to actually start one (in the order that matters)

The licence is cheap; the compliance behind it is the real work. And the counterintuitive first question is: are you cleaning premises for others (you need the NEA licence) or only homes (you don't)?

The setup stack, sequenced

  1. ACRA — register the company (~S$300 in govt fees).
  2. Decide the scope. Commercial / public-area cleaning needs the NEA licence; pure residential home cleaning is exempt (Excluded Cleaning Work Notification 2014). This determines everything below.
  3. bizSAFE Level 3 — required for Class 1 & Class 2 (so, for almost any serious B2B operator). Gate 1.
  4. Paid-up capital — S$25k for Class 2, S$250k for Class 1. Class 3 has none but is non-renewable (new firms only). Gate 2.
  5. WSQ trainingevery cleaner employed 3+ months must be trained (Environmental Cleaning WSQ). Gate 3 — the one founders miss.
  6. PWM wage plan — submit progressive wage plans for all SC/PR cleaners (S$1,910/mo floor and rising).
  7. NEA Cleaning Business Licence — S$130 (S$180 from Apr 2026), processed in ~14 working days, valid 2 years.

The real bottleneck

It is not the S$130 licence — it is the 100%-trained-cleaners rule and the paid-up-capital + bizSAFE gates, plus a payroll that must clear the statutory wage floor from day one. Operating commercial cleaning without the licence risks a fine up to S$10,000 and S$1,000 a day — and your buyer can be fined too, which is exactly why serious clients only hire licensed firms. Treat the licence as table stakes; the contract book is the business.

Where a new cleaning company actually wins

You will never win the lowest-bid man-hour war — the wage floor is shared and the incumbents have scale. You win by changing the game: stickier contracts, a premium niche, and productivity that lets you bid on outcomes instead of headcount.

Own the MCST channel

Condo cleaning is bought through the managing agent — the real decision-maker. Almost no one markets to MAs well. Win the relationship and you win recurring, multi-year contracts.

Specialise out of the price war

Post-renovation, disinfection (NEA-grade), medical/cleanroom, façade/high-rise, carpet & upholstery — higher-ticket, less commoditised work where a low bid is a red flag, not an advantage.

Bid on outcomes, not headcount

Government buyers must use outcome-based contracting (since May 2020) and only ~40% of large buyers have adopted it — an opening for a productivity-native entrant to differentiate against headcount-billing incumbents.

Recurring contracts, not gig jobs

The contract book is the moat; the one-off home job is not (ask Sendhelper). Build for retention, SLAs and renewals — the asset that compounds.

Trust-productise the home segment

If you do serve homes, attack the no-show / inconsistent-quality pain directly: vetted, insured, guaranteed-arrival, transparent pricing — the gig platforms leave this wide open.

The honest AI edge

AI genuinely helps where labour is the constraint: rostering across labour-scarce multi-site teams, demand forecasting for the CNY surge, and photo-based quality audit that evidences outcome-based SLAs. It will not clean a floor — that is robotics — so deploy it on scheduling and proof, not as a gimmick.

Questions founders ask

Do I need a licence to start a cleaning company in Singapore?

For commercial and public-area cleaning, yes — the NEA Cleaning Business Licence is mandatory under the Environmental Public Health Act, and operating without one carries a fine of up to S$10,000 plus S$1,000 a day. There are three classes: Class 3 (new businesses, non-renewable), Class 2 (S$25,000 paid-up capital + bizSAFE Level 3) and Class 1 (S$250,000 + bizSAFE Level 3). The fee is S$130, rising to S$180 from 1 April 2026, and a licence lasts two years. The twist: pure residential / domestic home cleaning is EXEMPT (Excluded Cleaning Work Notification 2014) — so a home-cleaning operator does not need the NEA licence, while an office cleaner does.

How much do cleaners have to be paid in Singapore (the Progressive Wage Model)?

For Singapore citizens and PRs, wages are set by law, not the market. Under the Progressive Wage Model, an entry-level general cleaner at an office/commercial site must be paid at least S$1,910/month from July 2025, rising on a fixed ladder to S$2,080 (2026), S$2,250 (2027) and S$2,420 (2028) — about +54% over five years — plus a mandatory bonus of at least two weeks of pay. The old "S$1,060" figure some guides still quote is years out of date.

Are cleaning companies profitable in Singapore?

The sector aggregate is brutally thin. SingStat’s own industry statistics for "Cleaning Activities" show roughly S$3.6 billion of operating receipts in 2024 against operating costs of almost the same amount — a sector-wide operating surplus of about 2.4%, and an outright LOSS in 2022. That is the thinnest margin of any SME sector we cover. It is a labour-cost business with a statutory wage floor: a disciplined operator on recurring B2B contracts can do better than the squeezed average, but there is almost no margin of safety.

Is commercial or residential cleaning the better business to start?

Commercial / B2B contract cleaning (offices, condos via the MCST managing agent, F&B, town councils) is the larger, stickier dollar value: multi-year contracts, recurring revenue, real switching costs — the closest thing to a moat in this sector. Residential gig home-cleaning is higher-frequency but commoditised, price-transparent (~S$18–26/hr) and high-churn; the closure of platforms like Sendhelper in April 2025 shows how fragile the pure-gig model is. The recurring contract book is the asset; the gig job is not.

How big is the cleaning services market in Singapore?

Use SingStat, not the aggregator PDFs. The official "Cleaning Activities" industry recorded about S$3.6 billion in operating receipts across roughly 2,316 establishments in 2024, growing ~6.7% a year from S$2.6 billion in 2019. Ignore the sourceless "~S$300 million" figure that circulates online and the paywalled market-research reports that redact their numbers and contradict each other.

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About this report. Built with SGAI's Deep-Context Engine — human-directed, AI-accelerated. Figures draw on SingStat (Cleaning Activities, SSIC 812, 2024), MOM (Progressive Wage Model, foreign-worker rules), NEA (Cleaning Business Licence, Environmental Services ITM, outcome-based contracting), GoBusiness and market reporting (2014–2026). The S$3.6B market size and ~2.4% operating surplus are SingStat's own industry statistics; private contract- cleaner revenues are not publicly audited, and the demand split is an SGAI estimate. The MOAT Score is a transparent SGAI judgement on economic quality, not a verdict on an owner-operated livelihood. Verify fees, wage figures and licensing steps with each agency before acting.

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