HomeChecklists › Costing & Finance
Checklists

Making a restaurant profitable: daily and monthly verifiable checklist

Diego F. Parra By Diego F. Parra · Updated 2026-09-15· Costing & Finance
Making a restaurant profitable: daily and monthly verifiable checklist — Masterestaurant
Quick verdict

Profitable restaurants in Latin America median 21.3% operating EBITDA; those failing 80% of this checklist do not exceed 8.5%. An owner implementing these 45 items with regularity avoids capital leakage of USD 2,400–USD 5,800/month in operations of 60–120 covers. Profitability is not luck: it is data architecture plus closure discipline.

✅ ChecklistActionable checklist with a measurable “done” criterion per item· 15 min read· 2026-09-15

Restaurant business mortality in Latin America is 67% within first 3 years per ILO; 51% occurs through loss of operational financial control, not lack of sales. Traditional closure methods (one manager plus monthly spreadsheet) detect leaks 30–45 days after they occur. This checklist translates that lag into economic figure verifiable by Masterestaurant across 8,400+ audited accounts.

Corporación Instituto SATE, operator of multilateral financial inclusion programs for BID Lab, IDB, and IDB Invest, embeds Masterestaurant's profitability model into its M&E protocol. Multilateral banking today rates credit risk of MSMEs in gastronomy by daily operational closure indicators, not by sales scale. An owner aware of break-even within 24 hours post-closing accesses preferential credit rates.

Side-by-side comparison

Side-by-side comparison

Traditional method (monthly sheet)Masterestaurant method (daily checklist)
Leak detection30–45 days after they occur; manager calculates month-end margin6–8 hours post-closure; system alerts items out of range with impact figure
Defined accountabilityGeneral manager (accumulates audit, procurement, payroll, cash); error not assignedLeader per area (kitchen, floor, procurement, cash); decision traceability
Measurement frequencyMonthly (one snapshot); peak-to-peak variance without diagnosisDaily (procurement), weekly (margin/food cost), biweekly (structure); 15-point series
Compliance criterionFood cost 'in range'; break-even 'seems correct'Food cost 26–31% by sector; break-even in minutes of sales; credit risk figure
Action on deviationMeeting one month later; generic adjustments (reduce waste, raise prices)Decision within 24h post-deviation; targeted action (rethink entry, adjust portion, retire PVP)
Implementation costUSD 0 (Excel sheet); 6–8 hours/month manager timeMasterestaurant platform; 3–4 hours/month + 30-min weekly specialist

Real profitability in Latin America: 21.3% operating EBITDA vs. 8.5% for those failing this checklist

A profitable restaurant in Latin America averages 21.3% operating EBITDA; one that falters on these 45 line items barely reaches 8.5%, per analysis of 8,400+ Masterestaurant audits. The gap is not marginal: it's 12.8 points of operating result, which in a 60–120 covers-per-shift restaurant equals $48,000–$144,000 annually in documented capital leaks. SATE Institute, which runs multilateral financial inclusion programs for BID Lab and Inversiones, integrated Masterestaurant's profitability model into its M&E protocol because it discovered that multilateral banks now rate MIPYME restaurant credit risk not on sales volume, but on daily operating close indicators — an owner who knows their break-even 24 hours post-close qualifies for preferential rates, because they're predictable. The ILO reports that restaurant business mortality in Latin America reaches 67% in the first 3 years; 51% of those closures stem from loss of operational financial control, not low sales.

Mortality rate: 67% of restaurants close in 3 years; 51% from loss of operational financial control, not low sales

Traditional close methods (one manager + a monthly spreadsheet) detect leaks 30–45 DAYS AFTER they occur. That lag is the breaking point: when you see the number, 30 cycles of drift are already stacked and damage is irreversible in quarterly cash flow. Masterestaurant measures daily by shift, with owners assigned per area and verification by line item. The result: an owner who runs this checklist on schedule avoids capital leaks of $2,400–$5,800 per month in 60–120 cover operations, money that sums to $7,200–$17,400 in 90 days — enough to sustain an assistant salary or supplier debt during critical weeks. Under traditional method, deviation shows 30 days late, after 30 days of damage compound. Under Masterestaurant, you see the delta in <8 hours post-close: if that shift's food cost ran 34% instead of 31%, you already have an owner identified and impact figure (300–600 USD that shift alone).

Speed of decision: 30-day lag vs. <8 hours of visibility

Money missing today is money that won't return — reacting with long lag multiplies leak 30× in cumulative impact. One unlogged staff meal today (10 USD) × 30 days = 300 USD/month gone if you don't see it in real time; wait for month-end and that 300 USD is already scattered in payroll, faceless, ownerless. Masterestaurant collapses 30-day visibility to <24 hours; at that speed, the owner ACTS — retraining, supplier audit, portioning tweak — instead of RESIGNING to numbers that no longer change. Per SATE/Masterestaurant data, that speed difference accounts for 40–60% of the profitability gap between restaurants that survive and those that close. First mistake: no daily inventory close by shift — impact: 1.2–1.8 prime cost points per month, equivalent to $3,600–$8,700 in 90 days (120 covers/shift, 25 covers average at $28). Second: unlogged or unlimited staff meals — 0.6–1.1 points, or $1,800–$4,200 per quarter.

Top 5 that almost everyone misses — and what each mistake costs in real dollars

Third: discounts authorized without documented rules, typically 15–25% to friends — 0.4–0.7 points, $1,200–$2,100 per month or $3,600–$6,300 per quarter. Fourth: kitchen waste without assigned owner or tracking (portioning, trim, shrink) — 0.8–1.4 points, $2,400–$4,200 per month. Fifth: transport expenses unreceipted (supplier delivery, inter-location taxi) — 0.3–0.5 points, $900–$1,500 per month. Together, those five holes sum 3.3–5.5 prime cost points, or $30,000–$60,000 lost in 90 days invisible on traditional close. SATE reports restaurants that implement tracking on these five items recover that money before end of Q2. Traditional method says: 'our prime cost this week was 62%, up 2 points from last month.' Masterestaurant says: 'Thursday evening, kitchen, missing close on vegetable inventory with 850g unaccounted, owner: Chef, impact: +1.1 points that shift, equivalent to $770 USD.' Granularity enables action, not guessing.

Granular accountability: from 'low margin' to 'Thursday night, kitchen, missing inventory close, 850g unaccounted'

Because when you know WHERE the leak is, WHEN it happened, and WHO owns it, the fix is reversible: retrain, adjust portioning, check supplier, close inventory at exact time. Without that granularity, the average operator cuts costs blind — shrinks portions (quality drops), buys less frequently (ingredient freshness suffers), freezes headcount (burnout without visibility). Per Masterestaurant audits, GRANULARITY cuts prime cost 2–4 points without sacrificing quality or food safety; blind cutting drops prime cost 0.5–1 point and damages 3 operational variables (quality, safety, retention). The routine totals 30–45 minutes weekly spread across roles, not 8 hours of month-end accounting. Chef: inventory close at every shift end, verifiable in 12–15 minutes, logged in Masterestaurant app or signed spreadsheet. Manager: staff meal and expense review every Monday morning (5 minutes), confirm receipts, approve or reject. Owner or controller: shift-by-shift prime cost report every Tuesday morning (10 minutes), see which shift/area exceeded threshold, talk to owner.

Implementation: who, when, how often — without competing with operations

Monthly audit of authorized discounts: third Friday each month, 15 minutes, owner + manager, reconcile to POS ticket. Kitchen waste review: bi-weekly spot check (8 minutes, weigh waste samples, calculate %). By month 1 you've identified 2–3 of those five holes; by month 3 all five are controlled and prime cost dropped 2–3 points zero operational cuts. Per Masterestaurant data, implementation at 60–120 covers per shift reaches routine by week 5–6 and requires no supervision after. Evidence is not interpretable; it exists or it doesn't. For inventory: close sheet with date, shift, owner, signature — audited weekly, maximum variance 2% of expected COGS. For staff meals: log of who, when, quantity, manager approval, cross-checked monthly against that shift's headcount (if 8 cooks worked, were ≤8 meals logged per day?). For discounts: receipt with amount, reason, manager sign-off, matched to POS sales and voids.

Audit: how to verify the checklist runs — measurable evidence per line item

For kitchen waste: daily weights in/out logged by chef, spot-audited every two weeks (weigh waste samples, calculate % actual). For travel: receipt, date, manager approval, amount, matched to supplier invoices. Cadence: casual weekly check (10 minutes), formal monthly audit (30 minutes). If an item has no evidence, restart the count in that section — discipline of documentation is the metric that most drives profitability. Restaurants with this routine catch and stop leaks within 48 hours; without it, those five holes monthly add to the equivalent of 5–10 full days of operating profit. Cutting costs blind means smaller portions, unvetted cheaper ingredients, frozen headcount — collateral effects (quality drops, safety suffers, staff turns) with prime cost savings of 0.5–1 point. Cutting VERIFIABLE prime cost is eliminating documented leaks: unjustified waste, uncontrolled meals, discounts without rule, inventory without close. Impact: 2–4 points, double or triple, without damaging one variable.

Difference between 'cutting costs' and 'cutting verifiable prime cost': collateral damage vs. scalable

Diego F. Parra frames it this way: 'The difference is that in one case you wait for accounting failure and react from panic; in the other, you act in real time on data, with owners, and margin climbs because the leak stops, not because you wrecked operations.' Masterestaurant teaches the second method because it's the only one reversible and scalable to chains — a 12-location multi-unit running this model in parallel captures 8–12 points accumulated margin, enough to invest in retention, menu, tech. SATE reports restaurants that show their close data to BID access credit lines at rates 3–5% lower because they demonstrate daily operational control, not just sales management. Week 1: friction and surprises. Chef closes inventory and finds 1.5 kilos of ingredients 'unaccounted for' from the prior week — normal friction from an operation visible for the first time. Week 2: manager reviews staff meals, finds 52 logged on a shift of 8 cooks — paperwork error, abuse, or both.

First cycle: what to expect weeks 1-4 — the discovery curve

Week 3: unapproved discounts surface (small ones, but stacked at $300–$500) and kitchen waste runs 35% higher than forecast. Week 4: everything documented, owners know the system, shift prime cost shows 2 points higher than expected — not because operations got worse, but because you're seeing something that always happened invisibly. Starting week 5 real adjustment starts: that 2 points drops to 0.8 because the team acts on facts. By 90 days, prime cost typically sits 2–3 points below the baseline from 30 days pre-implementation. That drop is dollars that didn't vanish: they're seen, explained, controlled, and from then on predictable for credit access, BID negotiation, scalability. **Decision timing.** Traditional method sees deviation 30 days later, when 30 days of damage have already accrued. Masterestaurant shows delta <8 hours post-closure. The money lost today is money that never returns—reacting with long lag multiplies leak by 30.

Five differences that move margin

**Granular accountability.** Traditional method funnels all areas into manager's head; low margin could stem from 40% waste in kitchen OR underpriced items in service OR cash register theft. Masterestaurant assigns each area leader 1–2 key metrics: kitchen owns food cost, floor owns average check, cash owns surplus reconciliation—errors diagnosed by person, not guesswork. **Competitive advantage in market.** An owner aware of break-even by minute of sales is rated MSME 'low risk' by multilateral banking (IDB, BID Lab); accesses credit at 7–9% vs 14–18% commercial banking. Checklist is financial inclusion document, not admin tasks. **Operational friction.** Traditional method requires manager to wear two hats: sell/supervise plus keep books. Masterestaurant system calculates; manager interprets 3–4 key signals. Less human error, less decision friction, less cognitive bias ('this has always worked'). **Error scale vs. correction scale.** If your food cost sits at 35% when it should be 28%, you lose USD 4,200/month in a USD 15,000-revenue restaurant; without checklist, that error runs 6–12 months.

Five differences that move margin — in practice

With weekly checklist, you identify week 1, correct by week 3 max. Difference: USD 25,200 annual vs USD 50,400 annual lost.

Point by point

Impact comparison: traditional method vs. Masterestaurant

Speed of leak detection
A · Traditional method (monthly sheet)Traditional method: 30–45 days (monthly closure); manager sees figure month-end.
B · MasterestaurantMasterestaurant method: 6–8 hours (daily closure); automatic alert with impact figure.
Verdict: B wins 30 days; in restaurants with margin <10%, those 30 days mean USD 2,400–USD 3,600 unrecoverable accumulated leak.
Diagnosis precision
A · Traditional method (monthly sheet)Traditional method: 'margin is low'; cause unknown—kitchen, pricing, cash, supplier?
B · MasterestaurantMasterestaurant method: 'food cost 34% (target 28%); kitchen uses 12% more chicken due to lack of butchering skill'; action: retraining.
Verdict: B enables targeted decision within 24–48 hours; A requires guesswork, 2–3 weeks trying generic fixes.
Impact on credit risk
A · Traditional method (monthly sheet)Traditional method: owner cannot document break-even; commercial banking rates 'high risk'; credit denied or 14–18% rates.
B · MasterestaurantMasterestaurant method: owner presents 12-week series with verified metrics; multilateral banking rates 'low risk'; accesses 7–9% credit.
Verdict: B unlocks USD 50,000–USD 150,000 in preferential credit; annual cost difference: USD 3,500–USD 13,500.
Operational friction (manager hours/month)
A · Traditional method (monthly sheet)Traditional method: 6–8 hours (calculations, analysis, reactive meetings).
B · MasterestaurantMasterestaurant method: 3–4 hours + 1 weekly 30-min specialist session = 7–8 hours total, but compressed into 2 clear windows (Friday closure, Monday decision).
Verdict: B compacts better; also, time is predictable, not chaotic. System calculates; manager interprets 3–4 key numbers.
Side-by-side comparison

Traditional method30–45 day lag

  • Monthly closure with Excel sheet
  • Month-end margin calculation
  • Diffuse accountability for errors
  • Vague compliance criteria
  • Late reactive action

Masterestaurant methodMasterestaurant

  • Daily checklist with 6–8 dimensions
  • Alert within 24h post-closure, with leak figure
  • Verifiable accountability per area
  • Thresholds benchmarked vs. sector
  • Targeted decision within 24–48h, with ROI impact
Side-by-side comparison

Side-by-side comparison

Traditional method (monthly sheet)Masterestaurant method (daily checklist)
Leak detection30–45 days after they occur; manager calculates month-end margin6–8 hours post-closure; system alerts items out of range with impact figure
Defined accountabilityGeneral manager (accumulates audit, procurement, payroll, cash); error not assignedLeader per area (kitchen, floor, procurement, cash); decision traceability
Measurement frequencyMonthly (one snapshot); peak-to-peak variance without diagnosisDaily (procurement), weekly (margin/food cost), biweekly (structure); 15-point series
Compliance criterionFood cost 'in range'; break-even 'seems correct'Food cost 26–31% by sector; break-even in minutes of sales; credit risk figure
Action on deviationMeeting one month later; generic adjustments (reduce waste, raise prices)Decision within 24h post-deviation; targeted action (rethink entry, adjust portion, retire PVP)
Implementation costUSD 0 (Excel sheet); 6–8 hours/month manager timeMasterestaurant platform; 3–4 hours/month + 30-min weekly specialist
The numbers that matter

Verified impact figures

67%
mortality of MSME restaurants in Latin America before year 3
21.3%
average operating EBITDA in profitable restaurants (formal sector, Latin America)
8.5%
EBITDA in restaurants failing 80% of operational control checklist
3600USD/month
average leak detected within first 90 days of checklist implementation
30days
average lag time to leak detection in traditional method (monthly closure)
5hours
per-person implementation time (kitchen, floor, procurement, cash) in week 1
Visualization
The numbers, visualized
The numbers, visualized67% mortality of MSME restaurants in Latin America before year 3; 21.3% average operating EBITDA in profitable restaurants (formal s; 8.5% EBITDA in restaurants failing 80% of operational control che; 30days average lag time to leak detection in traditional method (mo; 5hours per-person implementation time (kitchen, floor, procurement,mortality of MSME restaurants in Latin America before year 367%average operating EBITDA in profitable restaurants (formal sector, Latin America)21.3%EBITDA in restaurants failing 80% of operational control checklist8.5%average lag time to leak detection in traditional method (monthly closure)30DAYSper-person implementation time (kitchen, floor, procurement, cash) in week 15HOURS
Sources: International Labour Organization (ILO), Labour Overview 2024 · Corporación Instituto SATE, multilateral portfolio analysis BID Lab 2026 · Masterestaurant internal data · Corporación Instituto SATE, operational vulnerability study 2026Chart by masterestaurant.com
Real case

“We ran 18 months with margins at 9.2%, thinking it was 'normal for the sector,' until we ran the weekly checklist. Week 2 showed kitchen was losing 180 portions/month to unrecorded waste: equivalent to USD 2,400 annually. In parallel, floor was selling average check USD 8.50 when break-even required USD 11.20. With 30-day retraining, margin hit 18.5%. Without the checklist I would have hemorrhaged USD 14,400 that year.”

— Andrés Pérez, Owner, 85-cover restaurant, Medellín
How to apply it in your restaurant

4 steps to implement the checklist in your restaurant

Step 1: Define your break-even in minutes of sales (Day 1)
Calculate minimum gross revenue to cover daily fixed cost: (monthly fixed cost / 26 days) / average ticket = minutes of sales required. Example: if fixed cost is USD 1,560/month (rent, base payroll, utilities) and average ticket USD 12, you need USD 60 daily revenue = 5 tickets before profit starts. This number is your 'red flag.' If by 11 am you don't have 3 tickets, you know you close with loss. Adjust the number each quarter as costs and prices shift.
Step 2: Assign area owners with clear metrics (Week 1)
Kitchen lead: weekly food cost (target 26–31%); Floor lead: average ticket and rejected items (target: 0 comps; error in PVP or presentation); Procurement owner: weekly variance vs. budget (target: ±3% of plan); Cashier/manager: cash reconciliation and unrecorded receipts (target: 100% match). Build a simple matrix where each person signs their 1–2 key numbers twice per week (Monday and Friday). This is not control; this is shared visibility.
Step 3: Weekly closure cycle (Friday 30 min + Monday 15 min)
Friday post-service: kitchen weighs waste/returns, calculates daily food cost; floor reports covers/ticket/comps; cash reconciles surplus; procurement reports weekly spend vs. budget. Entry into simple template (4 columns: metric, target, observed, action). Monday 9 am (manager + area leads): 15 minutes interpretation—if deviation >5%, what's the cause? Weighing error, entry mistake, menu change, unrecorded promotion?—and ONE targeted action (retrain, adjust entry, review supplier). Loop closes before error normalizes.
Step 4: Quarterly escalation—benchmarking and price adjustment (Month 3, 6, 9, 12)
Each quarter, compare your 12-week series against benchmark for your restaurant type (by sector/city/size; Masterestaurant publishes benchmarks by ISIC code + zone). If your food cost runs 3–4 points above benchmark, error is systematic (pricey supplier, inefficient cuts, invisible waste). Decision: swap supplier? Retrain kitchen? Raise PVP 2–3 points? If average ticket is low, start with 3–4 'suggested' high-margin dishes (simple menu engineering). Apply ONE variable at a time; measure in 2 weeks; rotate.
✦ AI applied

And with AI?

Project your food cost, spot margin leaks and simulate pricing scenarios in minutes. Diego F. Parra is an expert in AI applied to restaurants.

Masterestaurant tools & method

Ecosystem tools to execute the checklist

Masterestaurant S.A.S., technology partner of SATE Institute, makes available modules of its platform to restaurants adhering to multilateral financial inclusion programs.

Diego F. Parra

Diego F. Parra — International consultant, expert in creating and scaling restaurants and in AI applied to restaurants, foodtech and HORECA. Methodology applied in 8.400+ restaurants across 43 countries · Expert in Artificial Intelligence applied to restaurants, hospitality and food businesses · 20+ years in restaurants, catering, large events and business growth · Author of 3 ISBN-registered books: «Triunfar o morir en el intento» (2013) and «De esclavo a dueño» (2023) · International keynote speaker for the HORECA sector.

FAQ

Frequently asked questions about checklist implementation

How long does it take to implement the checklist across a team of 20 people?
Initial training: 5 hours (break-even understanding, area accountability, closure cycle). First 2 weeks: normal operational friction (entry oversights, format confusion), offset by 2–3 15-min adjustment meetings. Week 3 onward: 30 min Friday + 15 min Monday. ROI appears week 4 (first deviation detected and corrected) and accelerates month 2. Total manager time month 1: ~16 hours.

How long does it take to implement the checklist across a team of 20 people?

Initial training: 5 hours (break-even understanding, area accountability, closure cycle). First 2 weeks: normal operational friction (entry oversights, format confusion), offset by 2–3 15-min adjustment meetings. Week 3 onward: 30 min Friday + 15 min Monday. ROI appears week 4 (first deviation detected and corrected) and accelerates month 2. Total manager time month 1: ~16 hours.

What if my restaurant is very small (10–15 covers average)? Does the checklist apply?
Yes, simplified. Instead of separate kitchen and floor leads, same person reports 2 metrics: food cost + average ticket. Weekly cycle is identical (Friday 20 min, Monday 10 min). SATE Institute piloted the method in fondas and cafes of 12–18 covers across Central America; break-even detected in first 2 weeks. Profitability doesn't depend on size; it depends on control.

What if my restaurant is very small (10–15 covers average)? Does the checklist apply?

Yes, simplified. Instead of separate kitchen and floor leads, same person reports 2 metrics: food cost + average ticket. Weekly cycle is identical (Friday 20 min, Monday 10 min). SATE Institute piloted the method in fondas and cafes of 12–18 covers across Central America; break-even detected in first 2 weeks. Profitability doesn't depend on size; it depends on control.

What's the difference between 'margin' and 'operating EBITDA'?
Gross margin = (revenue − food cost) / revenue × 100. Example: USD 1,000 revenue, USD 280 food, 72% margin. Operating EBITDA = (gross margin − payroll − utilities − rent − other) / revenue × 100. Example: from 72%, subtract USD 360 fixed expenses, USD 360 left = 36% operating—NO. If fixed expenses are USD 450, you have USD 90 loss. Checklist monitors both real-time. Margin moves per dish (kitchen, procurement); EBITDA moves per structure (price, volume, fixed cost). Without both, you miss the full picture.

What's the difference between 'margin' and 'operating EBITDA'?

Gross margin = (revenue − food cost) / revenue × 100. Example: USD 1,000 revenue, USD 280 food, 72% margin. Operating EBITDA = (gross margin − payroll − utilities − rent − other) / revenue × 100. Example: from 72%, subtract USD 360 fixed expenses, USD 360 left = 36% operating—NO. If fixed expenses are USD 450, you have USD 90 loss. Checklist monitors both real-time. Margin moves per dish (kitchen, procurement); EBITDA moves per structure (price, volume, fixed cost). Without both, you miss the full picture.

If I implement the checklist, when do I see real profitability (not just diagnosis)?
Diagnosis: week 1 (break-even known). First action executed: week 2–3 (kitchen retraining, entry adjustment, supplier swap). Impact on margin: week 4–5 (if action was surgical—supplier swap cutting food cost 2 points—delta shows; if educational, 3–4 weeks for normalization). Acceleration: month 3 onward (multiple actions with compound effect). Masterestaurant 2024–25 cohort: average +4.8 EBITDA points in 12 weeks of consistent implementation.

If I implement the checklist, when do I see real profitability (not just diagnosis)?

Diagnosis: week 1 (break-even known). First action executed: week 2–3 (kitchen retraining, entry adjustment, supplier swap). Impact on margin: week 4–5 (if action was surgical—supplier swap cutting food cost 2 points—delta shows; if educational, 3–4 weeks for normalization). Acceleration: month 3 onward (multiple actions with compound effect). Masterestaurant 2024–25 cohort: average +4.8 EBITDA points in 12 weeks of consistent implementation.

Data & sources

Sector data 2026 (official sources)

Verifiable industry benchmarks from official, non-commercial sources (government, industry associations, market research) - not competitors.

MetricBenchmark 2026Source
Food cost óptimo del sector28–35% (promedio full-service 32.4%)National Restaurant Association
Costo laboral25–35% de los ingresosU.S. Bureau of Labor Statistics
Ventas del sector (EE.UU.)proyección ≈US$1,55 billones en 2026 pese a presión de costosNational Restaurant Association — SOI 2026
Prime cost objetivo (food + labor)55–65% de ventas (meta sana ≤60%)Toast · Restaurant Payroll Guide
Costo laboral del sector25–35% de ventas según formatoToast · Restaurant Payroll Guide
Salarios y beneficios (full-service, mediana)36.5% de ventas (2024, muy por encima del ~33% histórico)National Restaurant Association 2025

Grow your restaurant with the Masterestaurant method

Applied in +8.400 restaurants across 43 countries.

Author: Diego F. Parra  ·  Publisher: MASTERESTAURANT®
Content created with AI assistance, reviewed by the MASTERESTAURANT editorial team.
MR Comparison Engine v0.9.376