TAM Figures From the Source: Why Industry-Reported Market Sizes Beat Third-Party Estimates

Every deal memo needs a Total Addressable Market. The problem is where most teams get theirs. A researcher queries a market sizing report, pastes in a figure, and moves on. That number came from an analyst at a third-party firm who modeled it from secondary sources, applied a growth rate, and published it behind a paywall. Nobody signed anything. Nobody was accountable for it. Compare that to a CFO on an earnings call, speaking to institutional investors with a compliance team in the room, citing the addressable market for their core product. That figure carries a different kind of weight.

SeventhBiz is built around that distinction. The TAM figures surfaced on the platform come directly from SEC filings and earnings call transcripts, attributed to the companies that operate inside the markets they are sizing. Here is how to find them and how to use them.

Where the Figures Live on the Platform

TAM signals appear inside company intelligence pages as part of the extracted signal feed. When a management team references market size, whether in a 10-K risk factor, an MD&A section, or a prepared earnings remark, the platform pulls that reference and surfaces it as a discrete signal. You will see the figure, the context it appeared in, the filing or call it came from, and the date.

Industry pages aggregate these signals across all tracked companies in a sector, so you can read market sizing language from multiple operators side by side. If three companies in the same vertical cite comparable figures with similar methodology, that convergence tells you something a single research report cannot. If their numbers diverge sharply, that tells you something too, usually about how differently they define the opportunity.

Within any individual company page, TAM references typically appear alongside product-level commentary, pipeline disclosures, and competitive framing. That context matters. A company citing a large addressable market while simultaneously flagging revenue pressure from a new entrant is giving you a more complete picture than a raw market size figure ever could.

Why These Figures Are More Credible

Third-party market sizing involves a chain of assumptions, each one adding distance from ground truth. Industry participants have no such distance. They are pricing into that market, competing for share inside it, and reporting results against it every quarter. When they cite a TAM, they are typically doing so to frame their growth runway for investors, which means they have an incentive to be defensible, not merely optimistic.

SEC filings carry an additional layer of accountability. Forward-looking statements have legal disclosure requirements attached. Material misrepresentation in a filing has consequences. That structural reality does not apply to a market research report.

Consider how this plays out in practice. United Therapeutics (UTHR) operates in pulmonary arterial hypertension, a rare disease market where addressable population size directly drives revenue ceiling estimates. When UTHR management discusses the PAH market in filings or on calls, they are drawing on their own patient registries, prescriber data, and reimbursement experience. A research firm sizing the same market is largely inferring from UTHR's own disclosures, among other public sources. The platform gives you the primary signal, not the derivative one.

The same logic applies across biotech and pharma broadly, and it holds just as well in sectors like data centers, enterprise SaaS, and industrials, where management teams routinely frame capital allocation decisions against explicit market size claims.

How to Use TAM Signals in Diligence

The most direct use case is validation. You have a target, you have a thesis, and you have a TAM assumption sitting in your model. Pull the SeventhBiz signal feed for that company and its closest public comps. See how operators in that space have characterized market size over time, and whether those characterizations have shifted. A management team that has revised its TAM language downward across several consecutive filings is telling you something about how the opportunity has evolved.

The second use case is competitive triangulation. If you are evaluating a private company in a space where public operators exist, those operators' TAM disclosures give you a market size anchor that is directly tied to observed commercial activity. You can cross-reference the private company's market claims against what the public incumbents are saying under oath.

A third use case is segmentation. Executives rarely cite a single monolithic TAM. They break it into addressable subpopulations, geographies, or product categories. That granularity, captured in the signal feed, lets you stress-test the portion of the market your target can realistically reach, rather than letting a top-line figure do too much work in your model.

The Forward View

Market sizing from filings is not static intelligence. Companies update their TAM framing as products launch, indications expand, and competitive dynamics shift. Monitoring those updates over time, which is exactly what the SeventhBiz signal feed is designed to surface, turns a point-in-time data pull into a continuous read on how operators themselves see the opportunity evolving. That is the version of TAM analysis worth building into your process.