Didymus AnalyticsStart with what was sold
Organize revenue by the part of the business you actually make decisions about: service line, customer, project, job, product, or location.
Small-business profitability · Lincoln, Nebraska
Small-Business Profitability Analysis
Find out which products, services, customers, projects, jobs, or locations are actually creating profit—not just revenue. Didymus Analytics works from the data you already have to make the economics of the business easier to see.
Profitability analysis for owner-led businesses
Revenue tells you what sold. Profitability tells you what the work actually produced.
Didymus Analytics connects revenue to the full cost of delivering the work so you can compare the economics of products, services, customers, projects, jobs, or locations. The goal is not a more complicated report. It is a clearer decision about what to price, promote, standardize, change, or stop.
Match the real cost
Bring labor, materials, subcontractors, commissions, rework, owner time, and other delivery costs alongside the revenue they support. Owner time matters even when it does not appear as a payroll expense: hours spent delivering, revising, managing, traveling, or troubleshooting have an economic cost because they cannot be used elsewhere in the business.
See the tradeoff
Compare profit dollars and margin so high revenue does not automatically look like strong economics.
Illustrative example
The biggest revenue line is not necessarily the best business.
This example is illustrative, not client data. It shows the kind of distinction a profitability analysis can make visible.
Service-line snapshot
Work typeRevenueProfit · margin
Standard service$96K$44K · 46%
Custom projects$118K$17K · 14%
Maintenance plans$72K$43K · 60%
Rush jobs$32K−$4K · −13%
What the owner learns
A different decision appears when cost is attached to revenue.
Custom projects bring in the most revenue but much less profit than the maintenance plans. Rush work is losing money. That can change pricing, sales emphasis, staffing, or which work the business accepts.
What you receive
A focused answer you can use after the project ends.
The exact scope depends on the business question and the data available, but a first project is designed to stay practical and fixed in scope.
01
Define the questionChoose the decision the analysis needs to support.02
Use existing dataInvoices, bookkeeping exports, job records, calendars, POS data, or spreadsheets.03
Build the comparisonConnect revenue with the costs and operating drivers that matter.04
Leave with next actionsSee the result, the assumptions, and the practical choices it suggests.Common questions
Profitability questions Didymus can help investigate.
Which services or products are actually making money?
Compare revenue with the full delivery cost of each offering rather than relying on sales volume alone.
Is my largest customer also my best customer?
Client-level profitability can reveal whether high revenue is being offset by extra staff time, owner time, revisions, travel, support, or other delivery burden.
How should the owner's time be treated?
For an owner-led business, the owner's time is a real economic input even when it is not recorded as a normal payroll expense. A profitability analysis can assign a reasonable internal value to owner hours spent delivering work, revising projects, handling customer issues, traveling, supervising, or doing other work tied to a service or customer. The purpose is not to create a fictitious accounting expense. It is to show whether certain work only looks profitable because the owner's time is being treated as free.
Are rush jobs, custom work, or certain project types underpriced?
Job- or project-level analysis can surface work that looks attractive on the invoice but produces weak margins after the actual effort is included.
What data do I need?
Usually the place to begin is data you already have: sales or invoices, labor/time information, material or subcontractor costs, and whatever records distinguish one service, customer, or job from another.
Start with one question
What is the one question about your business you wish your numbers could answer?
Bring that question to a free, no-pitch 30-minute conversation. We will look at the data you already have and decide whether a focused analytics engagement can answer it.