Ten food and beverage business models, with Excel and Claude resources for reviewing sales, production costs, staffing and cash.
Choose a starting point for a restaurant, counter-service business, catering operation or beverage producer. Adapt its operating assumptions, then investigate the costs and timing behind the plan.
The collection covers dining, takeaway, counter service, catering, mobile food and beverage production. Review each model’s defined format before selecting your starting point. Open a model’s product page to inspect its scope before selecting your starting point.
This Excel Restaurant Financial Model forecasts 2026–2030 sales for a 64-seat casual restaurant using seats, daily turns, service days, utilization, and five realized guest-ticket prices.
The Coffee Shop Financial Model is an Excel planning template that builds five-year financial projections for a counter-service coffee shop from daily drink demand, menu prices, beverage mix, operating costs, staffing, and startup investment. Monthly operating calculations feed the workbook’s financial statements and management reports.
The Cafe Financial Model is an Excel-based financial planning template for a single neighborhood counter-service cafe. It connects paid-order demand, an exclusive six-category sales mix, menu prices, food costs, labor, and occupancy expenses to a monthly operating forecast and annual EBITDA projections.
The Bakery Financial Model is an Excel planning template for an independent neighborhood retail bakery with on-site production and a staffed sales counter. It links daily baking capacity, the mix of products sold, menu prices, operating expenses, and staffing to monthly financial projections and annual reports.
The Food Truck Financial Model projects an owner-operated Austin grill truck’s meal orders, revenue, and operating results for 2026–2030. Sales are driven by capacity, utilization, seasonality, meal prices, and menu mix.
This Catering Service Financial Model Excel template converts inquiries, booking rates, event mix, and prices into monthly financial projections for 2026–2030. It links catering demand with staffing, event costs, overhead, and EBITDA.
The Pizza Restaurant Financial Model is an editable Excel template that converts paid orders, menu-basket prices, staffing, operating costs and opening investments into a five-year restaurant forecast. It connects the operating assumptions to monthly calculations and financial reporting for 2026 through 2030.
The Brewery Financial Model is an Excel financial planning template that converts brewing capacity, saleable beer yield, channel mix, and net selling prices into monthly revenue and a 2026–2030 operating forecast. It also connects ingredient costs, taproom expenses, staffing, startup investment, and financing controls to financial reports.
The Coffee Roasting Financial Model is an Excel financial planning template for a US production roastery selling roasted coffee by the pound. It connects roasting capacity, sales channel allocation, realized prices, direct costs, staffing and startup investment to a 2026–2030 forecast.
The Ice Cream Shop Financial Model is an Excel template for building 2026–2030 financial projections from dessert demand, product mix, net prices, operating costs, and staffing. It connects monthly revenue planning with financial statements and decision reports.
Choose a reporting or analysis workbook that fits the decision you are reviewing. Inspect its sample data, definitions, units and input structure, then adapt it to the business.
Review monthly profit, budget variance and fiscal year-to-date results with an editable P&L dashboard and report.
Keep the next 12 months of revenue, profit and cash in view as the latest closed month changes.
Turn a long expense list into a focused view of the cost categories that have the greatest effect on total spending.
Review manufacturing unit costs and the cost transferred from work in process.
Compare gross profit earned against the capital held in inventory.
Review stock cover, reorder triggers and safety-stock assumptions by SKU.
Evaluate the trade-off between taking an early-payment discount and retaining cash.
Review the distribution of quality-related costs and the components driving the total.
Trace physical output through production stages and review the economics of yield and scrap.
Reconcile energy spending and review cost intensity against the chosen operating unit.
Review the depreciation schedule and the period in which each asset stops contributing depreciation.
Explain the movement between planned and actual revenue through product quantities, selling prices and mix.
Investigate which products drive contribution and why a SKU can sell more units while earning less.
Review price and volume assumptions against a defined operating-profit target.
Compare proposed discounts with the margin floor and remaining discount headroom.
Examine the sales level needed to cover costs and the headroom above break-even.
Review how much attributable contribution remains after media spend.
Review the price an investor can pay when future receipts and investment assumptions change.
Compare available capacity and incremental costs when choosing overtime or outside support.
Plan headcount and compensation in one structured Excel workbook, then review how hiring dates, work arrangements, salary assumptions, bonuses, taxes, and wage increases shape total payroll cost.
Choose the relevant cash-planning or liquidity workbook for your question. These products are counted separately from the Excel tools above.
Organise expected cash receipts and payments by week and follow the opening and closing cash balances.
Turn expected receipts and payments into a day-by-day view of available cash, so you can see when liquidity is tightening before deciding which collections, purchases, or payments need attention.
Build a month-by-month view of cash coming into the business, cash leaving through operations and investment, financing activity, and the resulting cash balance across a 12-month period.
Compare planned cash inflows and outflows with recorded results, quantify the variance, and see how the difference affects monthly cash movement and the ending cash balance.
Review the connection between inventory, customer collection and supplier-payment timing.
The named packs provide instructions, templates, worked examples and review checks for use with your own source information and compatible Claude access.
25 finance playbooks covering data checks, planning, profitability, cash, funding and CFO decisions.
A 13-week cash forecast and eight focused agent definitions for reviewing receipts, payments and minimum cash balances.
A monthly review from source intake and account mapping through revenue and cost analysis, management commentary and independent checks.
Use the collection when comparing food-business formats or preparing a forecast. For an operating business, select the tools that fit its product mix, production process, staffing and cash questions.
Microsoft Excel for the workbooks and your own compatible Claude access for the AI resources. Some workflows use Claude Code; selected instructions can also be used in regular Claude chat. Code-based examples may require Python and separate API access, as stated in their setup guides.
Review the selected file’s scope, inspect its worked example and prepare the required inputs. Adapt the assumptions and reporting periods, then compare the calculations with your source information.
The bundle contains separate files, each with its own structure and instructions. Select the tools that fit the task and the operating business.
The four groups contain 38 named catalogue products. AI packs include multiple files; the counts do not represent a total of unique agents or individual worksheets.
The financial-model cases and supporting examples are illustrations for planning and review. Replace the relevant assumptions with information appropriate to the business.
Use your own Excel and Claude access. Software subscriptions, API charges, custom integrations and individual consulting services are separate from this digital collection.
Some supporting dashboards and AI resources are also available individually at no charge. This bundle combines the selected industry financial models with the named supporting resources. Created by Henry Sheykin / FinModelsLab.
