QL READTHROUGH / PUBLIC COMPANY INTELLIGENCE
One announcement.
Connected businesses.
Follow the evidence beyond the headline.
See who could be affected. Test what must be true.
Loading the evidence workspace…
01 / THE ORIGINATING EVENT DEMAND
Read the issuer release ↗Year over year
Q3: 33% → Q4: 39%
02 / FOLLOW THE CONNECTION
Evidence, not guesswork.
Select a company to inspect the relationship. Lines represent disclosed deployments—not revenue weights or proven effects.
Any ticker in the QL company network. Its suppliers, customers and partners appear here; tick the ones to test. These links come from QuantLogix's own relationship map, refreshed weekly, not from issuer disclosures. Verify before relying on them.
Complete pilot coverage is shown. Absence from this graph does not imply absence of a relationship.
03 / BUILD A TESTABLE IMPLICATION
Why it could matter
What could break the link
What to check next
No probability or price target is assigned.
04 / STRESS YOUR ASSUMPTIONS
How much would have to transmit?
The event is context—not a calibration. All three controls are hypothetical, including the change in demand for the supplier’s products.
HYPOTHETICAL TOTAL SUPPLIER REVENUE CHANGE
Revenue index starts at 100. Not dollars, stock returns, a forecast or a causal estimate. No downstream paths are summed.
Explore the sensitivity map
Rows: exposed revenue share. Columns: relevant demand change. Colour intensity scales with the size of the result. Select a cell to apply those assumptions; transmission stays fixed.
05 / SIMULATE THE TRANSMISSION
Play the scenario forward. Then widen it.
Three views generated from the assumptions above: a quarter-by-quarter revenue path under a lag profile, a distribution across ± ranges around each input, and which input moves the result most. Nothing here samples real market data or assigns a real-world probability.
2,000 uniform draws per run, seeded so the same settings reproduce the same picture. Hover or focus any mark for its value; every chart has a table view. Simulation settings are not stored in saved cases.
What must be true
Transmission factor the selected demand change would need for each total supplier revenue change, by exposed share. Cells above 100% are not reachable under that demand and exposure.
06 / KEEP THE CASE TESTABLE
Save the reasoning. Set a review.
Snapshots stay on this browser; no account sync. Agents opens a prefilled draft for your review and may use your plan’s credits. Sign-in and agent creation are required before monitoring starts. Free-text notes remain local.
YOUR RESEARCH RECORD
Saved cases
Up to 25 cases, stored only in this browser. Import merges a compatible ReadThrough export without replacing existing cases. Altered evidence or results are rejected; schema validation is not proof of authenticity. Files never leave your browser.
COMPARE BEFORE YOU COMMIT
What changed between your cases?
Use “Compare” on up to two saved cases for the selected supplier. Your working case updates live as you change the controls.
Only the same event, supplier and model version can be compared. Differences are percentage points of hypothetical revenue change—not stock returns, probabilities or evidence of causality. Review deadlines are shown separately; confirm your assumptions use comparable periods. Comparisons, saved cases and exports cover point-case assumptions only—not simulation lag profiles, uncertainty ranges, random seeds or simulated charts.
TAKE YOUR RESEARCH WITH YOU
A brief you can inspect and share.
Exports your current working case: evidence links, assumptions, countercase, your reasoning and the review checklist. Nothing is published or sent automatically.
Preview the working case brief
PROVENANCE
Every factual link has a source.
METHOD & LIMITS
A transmission test. Not a crystal ball.
Transparent arithmetic
Total supplier revenue change = relevant demand change × exposed revenue share × transmission factor. Percentages are converted to fractions. The model excludes lag distributions, margins, valuations, currency effects and other growth drivers.
Evidence before scale
Only two named, first-party hardware relationships are admitted. Exposure is unknown in the cited sources. A commercial relationship is not proof of a revenue impact. The pilot has no live ingestion, automatic outcomes or 20-company coverage yet. When you choose your own companies, the links come from the QL company relationship network (a labelled map QuantLogix maintains, refreshed weekly) and are marked as such: they are not issuer disclosures, they carry no revenue exposure, and they must be verified before use.
Honest about time
This case was reconstructed in September 2026 from historical disclosures. It was not published by QuantLogix in July 2025. Source pages may have changed since publication. Saved cases are not sealed Rewind records or a backtest.
The page opens in an illustrative scenario so its tables and charts carry data; the assumptions are labeled as yours, not disclosed exposures, and can be switched off. Simulated paths, distributions and driver swings are generated only from your ranges with a seeded generator. They are not probabilities of real outcomes.
For research and education. No investment recommendation, promised return or automatic trading. A forward monitor must first revalidate the historical relationship.