PayMongo Inc.Summer 2019Active☆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.

PayMongo Inc. is one of 1063 Fintech companies tracked from SAN FRANCISCO, NCR, Philippines, on record since 2019. By capital raised it ranks among the largest (ahead of 96% 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”

Modern online payments for the Philippines

PayMongo builds products and tools that enable thousands of individuals and businesses in the Philippines to make and receive payments over the Internet. We support payments through credit or debit cards, electronic wallets, over-the-counter payments and many more. We build robust APIs, plugins and other products that abstract out the complexities of payments from our users so they can get up and running quickly and focus on their business. Our investors include Founders Fund, Peter Thiel, Bedrock Capital and Stripe.

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 fintech sector profile. Directional, not a quoted figure.

Benchmarked against 1063 companies in Fintech. 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 96% of sector peers (real $). Modeled value above 96% 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 #1 of 14.

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$14.7M2020-09-14
   • First recorded raise — entered as Series A.
   • 23 investors on this round.
2. Series B$31.0M2022-02-25
   • Raised 17 mo later, in step with the ~12 mo sector norm.
   • Round 2.1× larger than the prior — scaling up.
   • 7 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.

PayMongo 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 PayMongo 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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