Pharma-Labs Finance LLC☆Watch⊞Compare

Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.

Procedural diagnosis est. — rule-based common-sense checks over the filing pattern, issuer name, activity cadence, and surfaced operating evidence.

Pharma-Labs Finance LLC behaves more like a recurring private-offering issuer than a conventional venture-backed operating company.

No named principal in this company's public records yet — see all operators below.

Explore how these operators interlock with other companies in the operator network.

Pharma-Labs Finance LLC is one of 310 Pharma companies tracked from PHOENIX. By capital raised it ranks mid-pack (ahead of 49% of sector peers), and mid-pack by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

Round size and date are reported; the stage label is inferred from round size (latest is Seed — a $1.0M–$4.0M round). Valuation is modeled from stage benchmarks scaled by the pharma sector profile. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 310 companies in Pharma. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 49% of sector peers (real $). Modeled value above 69% of peers (estimate).

A tighter cohort than the sector chart above — only companies at the same stage (Seed) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #2 of 20.

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.

1. Seed$3.0M2020-06-29
   • First recorded raise — entered as Seed.
   • 6 investors on this round.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.

Pharma-Labs Finance LLC is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Pharma-Labs Finance LLC sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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