TreeHouse, Inc.Summer 2008Inactive☆Watch⊞Compare

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

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.

TreeHouse, Inc. is one of 2347 Retailing companies tracked from AUSTIN, CA, USA; Portland, OR, USA, on record since 2012. By capital raised it ranks among the largest (ahead of 95% of sector peers), and among the largest by modeled valuation est..

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

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Treehouse is an online technology school that offers beginner to advanced courses in web design, web development, mobile development and game development taught by a team of expert teachers. Its courses are aimed at beginners looking to learn coding skills and embark on a career in the tech industry. In May 2016, Treehouse launched the Techdegree program, a comprehensive learning program focused on helping people learn the skills they need to start a tech career. Through earning a Techdegree certification, a student will challenge themselves, deepen their skills, and prove their knowledge to potential employers. All in 6-12 months, on their own schedule. Treehouse believes that understanding, communicating with and controlling technology is a fundamental skill that everyone should have the opportunity to learn. Through learning with Treehouse, each student is given the opportunity to learn the valuable skills they need — whether they have existing, little or no previous experience — to confidently take control of their future.

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 Series B — a $15M–$40M round). Valuation is modeled from stage benchmarks scaled by the retail sector profile. Directional, not a quoted figure.

Benchmarked against 2347 companies in Retailing. 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 95% of sector peers (real $). Modeled value above 92% of peers (estimate).

A tighter cohort than the sector chart above — only companies at the same stage (Series B) 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 #15 of 25.

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. Series A$7.0M2011-02-28
   • First recorded raise — entered as Series A.
   • 40 investors on this round.
2. Series A$1.7M2012-12-21
   • Raised again after 22 mo — slower than the ~13 mo sector norm.
   • Round 4.3× smaller than the prior — bridge or down round.
   • 24 investors on this round.
3. Series A$500K2014-05-06
   • Raised 16 mo later, in step with the ~13 mo sector norm.
   • Round 3.3× smaller than the prior — bridge or down round.
   • Switched to Rule 506(b) (was Rule 06).
   • 19 investors on this round.
4. Series B$16.0M2015-07-31
   • Raised 15 mo later, in step with the ~13 mo sector norm.
   • Round 32.0× larger than the prior — scaling up.
   • 45 investors on this round.
5. Series B$7.7M2017-04-21
   • Raised again after 21 mo — slower than the ~13 mo sector norm.
   • Round 2.1× smaller than the prior — bridge or down round.
   • 11 investors on this round.
6. Seed$2.1M2018-01-11
   • Raised 9 mo later, in step with the ~13 mo sector norm.
   • Round 3.7× smaller than the prior — bridge or down round.
   • 8 investors on this round.
7. Series B$4.5M2018-01-11
   • Filed alongside the prior round (same month) — likely a tranche or amendment.
   • Round 2.2× larger than the prior — scaling up.
   • 17 investors on this round.
8. Series B$15.7M2018-05-08
   • Came back fast: 4 mo vs the ~13 mo sector norm.
   • Round 3.5× larger than the prior — scaling up.
   • 20 investors on this round.
9. Series A$7.5M2018-05-08
   • Filed alongside the prior round (same month) — likely a tranche or amendment.
   • Round 2.1× smaller than the prior — bridge or down round.
   • 1 investor 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.

TreeHouse, Inc. 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 TreeHouse, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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