Revenue and Valuation Estimates turn the financial black box of private companies into a comparable, sortable layer of data. 5 employees OR at least 1 funding round, Specter models both metrics refreshed monthly, anchored to real disclosures as they emerge, and shipped with a confidence band on every estimate.
It finally enables the kind of analysis investors and analysts have long been missing in private markets: rank, sort, filter, and benchmark on revenue and valuation at scale.
Estimated vs Reported
Every company in Specter has two values for revenue and valuation, shown side by side:
Estimated: Specter's modelled value, refreshed monthly. Always accompanied by a confidence range.
Reported: A real, sourced value drawn from a verified primary source: a regulatory filing, a corporate disclosure, news coverage, or an investor update. Reported values are linked back to the source on the profile, and they anchor the Estimate when they exist.
❗️Note: Where a round was raised but the valuation wasn't disclosed, we still surface the round and tag it as undisclosed, so you see the funding event in context.
How Revenue Estimates Work
Revenue Estimates model a company’s current annualized revenue in USD, with a confidence range that narrows as more evidence becomes available.
The model evaluates a range of point-in-time signals, such as headcount and its functional distribution, web and app traction trends, recency-weighted funding history, geography, and industry- and tech-vertical revenue benchmarks derived from thousands of real company data.
Reported ARR signals from news, disclosures, and primary sources act as anchors, while the model layers in its own month-over-month momentum, ensuring estimates stay grounded in reality while continuously updating between disclosures.
How Valuation Estimates Work
Valuation Estimates model a company’s current post-money valuation in USD, with the same confidence range and trajectory view as revenue.
The model evaluates a broad set of signals, around 15 features per company, including revenue (with the Revenue Estimate as a core input), funding trajectory (last round, total raised, recency, stage), investor quality, headcount, company age, geography, and sector. It’s trained on tens of thousands of real financing rounds and public market benchmarks.
Priced funding rounds act as anchor points. As time passes from the last round, the model gradually shifts from that anchor to its own view of the company’s trajectory, staying grounded immediately after a raise while adapting as the company evolves.
Where You'll See This
Estimates and Reported values are surfaced everywhere you work in Specter
1. On a Company Profile
Open any Company Profile and you'll find dedicated Valuation and Revenue sections.
Valuation Chart:
Revenue Chart:
2. In Company DB
Both Estimated and Reported values are now available across the Company DB as filters and columns, so you can sort, compare, and rank companies using Revenue (Est.), Latest Revenue (Reported), Valuation (Est.), Latest Valuation (Reported), and estimated growth metrics (3M, 6M, 1Y) in a single view.
❗️Heads-up: Growth metrics are scoped to estimates only |
3. In Excel exports
All Estimated and Reported values plus the growth metrics are included in your exports.
🎯 Use Cases
Compare private companies side by side. Compare private companies side by side instantly rank unfamiliar names by revenue and valuation, using consistent benchmarks across the entire market.
Filter on growth at scale. Sort the Company DB by 6-month or 1-year estimated revenue growth to surface companies scaling fast — even if they haven't raised recently or said anything publicly.
If you'd like to learn more about how the models work in detail, feel free to reach out to the team here.