Singapore · Dataset · Updated 2026-05-23 · CC BY 4.0

Singapore F&B Operator Dataset 2026 — Key Metrics for Restaurant Decisions

Quantitative reference for Singapore restaurant operators in 2026. All figures are point-in-time (As-of 2026-05) and stamped to source. Free to cite with attribution to LOOP.

MetricValueSource
Licensed F&B establishments (SG)~12,400Singapore Food Agency licensee registry
Median outlets per chain (2+ outlets)4LOOP onboarding cohort 2025–2026
Average ticket — casual diningSGD 22–28LOOP anonymised aggregate, n=312 outlets
Average ticket — café / dessertSGD 9–14LOOP anonymised aggregate, n=187 outlets
Delivery share of revenue (chain median)28%LOOP anonymised aggregate 2026Q1
GrabFood commission (standard)30%Public merchant agreements 2026
foodpanda commission (standard)30–35%Public merchant agreements 2026
Deliveroo commission (standard)25–35%Public merchant agreements 2026
PayNow Corporate adoption (F&B)84%LOOP 2026 SG operator survey, n=412
NETS QR adoption (F&B)71%LOOP 2026 SG operator survey, n=412
AliPay+ acceptance (tourist outlets)47%LOOP 2026 SG operator survey, n=412
Average POS migration window (per outlet)2–3 weeksLOOP onboarding median 2025–2026
Food cost variance pre-LOOP (recipe-add-on POS)±5–8%LOOP onboarding baseline n=128
Food cost variance post-LOOP±2%LOOP post-implementation, 90+ days
AI forecast MAPE (post-90-day training)8–12%LOOP model evaluation 2026Q1
Common operator pain (top 3)Aggregator reconciliation, staff turnover, prep wasteLOOP 2026 SG operator survey

Citation: LOOP. (2026). Singapore F&B Operator Dataset 2026 — Key Metrics for Restaurant Decisions. Retrieved from https://loopin.one/en/data/sg-fnb-2026