What a startup financial model costs from a freelancer, and what moves the price

The short answer

A startup financial model from a freelancer usually starts around $100 to $400 for a basic package among the vetted sellers on our financial model page, checked in October 2026. That range is wide because “a financial model” can mean very different files: a one-tab revenue projection, or a linked profit and loss, cash flow and balance sheet with a hiring plan and two scenarios.

The price moves with eight things. Half of them are decided by you before you send the first message: what question the model must answer, how ready your assumptions and actual numbers are, how many scenarios you want, and what you need to be able to do with the file afterwards. Settle those first and the quotes you receive become comparable.

Why quotes for “a financial model” differ so much

My day job is investing in early-stage startups, and reading financial models is part of it. Before that I worked on M&A deals. So I see these files from the reader’s seat, after they are built. When two quotes for building one are far apart, the usual reason is simple: the sellers have imagined two different deliverables.

One seller reads “financial model for my startup” and pictures a revenue forecast and a burn chart for a deck. Another pictures a monthly three-statement model built from your accounting export, with a scenario switch. Both are honest quotes. They are just not quotes for the same file.

So the first job is not to find the cheapest seller. It is to describe the file precisely enough that every seller prices the same thing.

The eight things that move the price

What moves it	Pushes the price up	Keeps it down
The question	“A model for investors” with no stated purpose	One question: runway after this round, round size, or break-even month
Structure	Full three-statement model	Revenue build, costs, cash and runway only
Business model	Several revenue streams, inventory, debt, multiple currencies	One product, one way of charging
Your assumptions	The modeler has to invent or research them	You send a written list with values and where each came from
Your actuals	No export; the modeler rebuilds history from screenshots	A clean export of the last months of revenue and costs
Scenarios and extras	Base, downside and upside, a cap table, a written business plan	One base case, with a downside added later
Horizon and detail	Monthly for five years	Monthly for 24–36 months, then yearly
Hand-back	Revisions without limit, rush delivery	A set number of revision rounds and one walk-through call

The first four lines are where most of the variance comes from. A seller who has to guess your pricing, churn and hiring plan is doing research and strategy work on top of spreadsheet work, and will price that risk in.

What you control before the first message

Write your assumptions yourself. Price, conversion, churn, sales cycle, hiring plan, the main costs. Mark each one as “from our data”, “from a named source” or “guess”. A modeler can structure these; only you can defend them in a meeting. When I read a model, the assumptions tab is the first thing I look for, and an assumption nobody can explain is the first question asked.

Export your actuals. Bank or accounting export, the last months of revenue and costs. A model that starts from real numbers is easier to believe, and it saves the modeler hours of reconstruction you would otherwise pay for.

Name the single question. “How many months of runway after this round, and when do we need the next one” is a scope. “A model for our fundraise” is not.

Decide what you will do with the file afterwards. If you need to update it monthly with new actuals, say so. That one sentence changes how it should be built: live formulas, one assumptions tab, inputs coloured differently from formulas. The same requirements sit in the financial model brief.

A scope you can paste into the first message

Send this before asking for a price, as the first message guide suggests. Every seller now quotes the same job.

If a seller replies with a custom offer, check it against this list line by line. Scenario count, revision rounds and file format are where offers quietly differ; the custom offer guide shows what to look for.

Where the cheap version costs more

A low quote is fine when the scope is small. It becomes expensive in three situations.

• The outputs are typed in. The file looks finished, but when you change the price assumption nothing moves. You find out the first time an investor asks “what if conversion is half that?”, and you either rebuild or pay for a second model.
• The first months do not match your actuals. A projection that starts from numbers that differ from your bank statement is the fastest way to lose a reader’s trust. Comparing the first months with your bank and accounting export is a quick check; skipping it can cost you a meeting.
• Nobody can update it. If only the modeler understands the structure, every new month of actuals is a new order.

So when a model arrives, run these checks yourself: find the assumptions tab, change one input, see whether revenue, cash and runway move, and compare the first months with the actual figures. The financial model acceptance list has them as pass-or-fail lines for your final payment.

Choosing how to pay

For a larger model, split the order into stages instead of one big payment: structure and assumptions first, then the numbers wired up, then scenarios. Each stage is something you can check before the next one starts. The reasoning is the same as for any build; see fixed price or milestones.

If you already have a model, built yourself or with an AI tool, start with a review rather than a rebuild. El Mehdi Naffaa also offers a separate gig for auditing models built with AI tools. For projections attached to a plan or a first raise, Saim sits at the lower end of the price range. Hristo Dikov builds startup models from scratch at the higher end, and Tim Guntermann frames the gig around fundraising models.

Once the model is delivered, changes to the business will keep coming. Agree up front what an update with new actuals costs, and keep changes separate from fixes, as in asking for changes after delivery.

Wrap-up

The price of a financial model is mostly the price of the questions you have not answered yet. Name the one question the model must answer, write your assumptions, export your actuals and say what you will do with the file afterwards. Then compare quotes for the same file, pay in stages for anything large, and do not release the final payment until you have changed a few assumptions yourself and watched the outputs move.