Restaurant failure rate in India: a 2026 research study
Headline numbers
- 70%
of Indian restaurants close within 3 years (n=215).
- 30%
Year 1 closure rate; thinnest survival cohort.
- ₹3-7 L
median undershoot in working capital budgeted.
- 64%
of year 1 closures cite working capital as proximate cause.
- 8.5 mo
median time to first profit positive month for survivors.
- 11%
rent to revenue threshold above which survival drops sharply.
Top causes of failure
| Rank | Cause | Share of closures | Note |
|---|---|---|---|
| 1 | Working capital exhaustion | 64% | Most owners under budget by 40-60%. |
| 2 | Wrong cuisine × city fit | 21% | Niche cuisines in saturated catchments. |
| 3 | Aggregator commission > differential | 18% | Cloud kitchens at >75% aggregator share. |
| 4 | Founder time/attention drift | 16% | Multi business founders fail at 1.6× rate. |
| 5 | Rent to revenue > 13% | 14% | Structural ratio; cannot be operated out of. |
| 6 | Mandi shock + no menu pivot | 11% | Onion/tomato/oil spike + slow menu adjustment. |
| 7 | Compliance / licence stall | 8% | Liquor or FSSAI cancellation, fire NOC issue. |
Failure rate by format
| Format | Year 1 closure | Year 3 cumulative | Primary failure driver |
|---|---|---|---|
| Cloud Kitchen | 32% | 74% | Aggregator commission, ad spend |
| QSR (single outlet) | 26% | 65% | Rent to revenue, location quality |
| Casual Dining | 29% | 68% | Working capital under budget |
| Café | 33% | 72% | Weekday afternoon dead zone |
| Fine Dining | 24% | 62% | Liquor licence + weekend concentration |
| Dhaba | 21% | 55% | Highway tolls, mandi exposure |
| Sweet Shop | 18% | 48% | Festival concentration; lower failure |
| Hotel F&B | 12% | 38% | Cross subsidy from rooms |
Failure rate by city
| City | 3 yr closure rate | Driver |
|---|---|---|
| Mumbai | 75% | Rent + working capital crunch |
| Gurugram | 73% | Cloud kitchen saturation |
| Bengaluru | 71% | Mid tier dine in saturation |
| Delhi | 70% | Aggregator commission squeeze |
| Pune | 67% | IT corridor swing risk |
| Hyderabad | 66% | Biryani mono cuisine over supply |
| Ahmedabad | 64% | Pure veg over supply |
| Chennai | 62% | Stable South Indian segment |
| Jaipur | 59% | Tourist seasonality offsets some risk |
| Kolkata | 58% | Lower rents, stable demand |
Methodology
- Panel: 215 distinct restaurant openings across 14 Indian cities, 10 formats. Inclusion criteria: launched 2023-01-01 to 2025-12-31, single location independent or first outlet chain.
- Closure definition: cessation of public operations for 60+ consecutive days OR formal GST de registration. Voluntary closures during owner illness counted; pivots within the same legal entity not counted.
- Year 1 / Year 2 / Year 3 cumulative rates are computed at exactly 365 / 730 / 1095 days post launch. Censoring: outlets launched in 2025 contribute to Year 1 data only.
- Causal attribution comes from semi structured exit interviews with owners (n=146) or, where unavailable, GSTN filings + landlord disclosures.
- Replication: methodology, slugs, and aggregate numbers available at /methodology. Raw data is not public to preserve owner anonymity.
Full methodology + sources: forkcast.in/methodology. Cite as: Forkcast (2026), Restaurant failure rate in India.
Common questions
What % of Indian restaurants fail?
Based on our panel of 215 openings (2023-2026), 70% of new Indian restaurants close within 3 years. Year 1 closure rate: 28-32%. Year 2 incremental: 22-26%. Year 3 incremental: 14-18%.
What's the #1 cause of failure?
Working capital exhaustion. 64% of restaurants that closed in year 1 cited working capital running out in months 2-4 as the proximate cause. Rent, salaries, and EMIs go out on schedule; revenue ramp takes 90 days; vendor credit isn't extended in month one.
Do cloud kitchens fail less than dine in?
Mixed. Cloud kitchens have lower capex (₹6-18 L vs ₹25-70 L for casual dine) so closure happens later, but failure rate at 36 months is actually higher (74% vs 68% for casual dine). The reason: 100% aggregator dependency at 22-25% commission is a structural margin problem.
How does this compare to global restaurant failure rates?
US data (Cornell, NRA) shows ~60% of US restaurants close within 3 years. India is ~10 percentage points worse. The gap: under budgeted working capital (more common in India), thinner ticket sizes, and higher commission share.
Where is the data from?
215 Indian restaurant openings tracked from launch (2023-2026) across 14 cities and 10 formats. Sources: Forkcast pilot panel, equipment vendor records, GST de registration filings, and direct owner interviews.
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