Generate Biomedicines, Inc. (GENB)

Every figure this model derived for GENB, the value it took, and the element in the company's own XBRL it was read from — so any of it can be checked against the filing rather than taken on trust. As at 2026-06-30.

The figures, and where each came from

This is the part no other screener shows. Each figure below names the XBRL element it was read from, so it can be checked against the filing itself.

The ratios

The figures themselves rather than their scores — what somebody looking up GENB on one particular measure came for.

Everything else this filing tags

112 more elements from GENB's own XBRL that this model has no measure for, newest reading each, largest first. Nothing here is converted, added up or renamed — it is the filing's own element names and the filing's own numbers.

What to be careful about

What this model itself distrusts about GENB's figures. Written by the derivation as it ran, not added afterwards.

• every figure here comes from two filings (10-Q), so there is no annual report and no history behind it. A company that has just reorganised files under a new registration number, and what it reported before that is not part of this record.
• only 180 days of filings, not a full year: margins and growth are measured, but return on capital and every enterprise-value multiple are refused rather than annualised
• no usable diluted share count, so growth is measured on total revenue rather than per share; a company issuing shares to fund that growth reads better than it is
• analyst estimate not used: trailing EPS is not positive, so a growth rate would be meaningless
• quality rests on 4 of 5 inputs; not tagged: roic
• valuation DROPPED from the total: only 0 of 2 inputs could be computed (ev ebit, ev owner earnings not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
• durability DROPPED from the total: only 0 of 4 inputs could be computed (worst year, contracted coverage, gross margin stability, cash flow stability not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
• growth DROPPED from the total: only 1 of 4 inputs could be computed (sustained growth, margin trend, margin recent not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
• 3 of 5 dimensions could not be measured (valuation, durability, growth -- 55% of the model), so this row is not comparable with the others; its total rests on what was left