GPGrossPatternRESEARCH SYSTEM
SEC CHECK OPERATIONAL
GROSSPATTERN / FUNDAMENTAL STATE / POINT IN TIME

LASE · Mar 31, 2023

Laser Photonics Corp. A multidimensional configuration derived from the filing available at this observation—never a composite score or recommendation.

STATE CAPABILITYLEVEL 3[email protected]
Inspectable configuration

State dimensions

Filing0001654954-23-006083General Corporate
Operating cash generation0thOwn-history percentile · N=9
Evidence method

Ratio · gp.fundamentals.operating_cash_flow + gp.fundamentals.revenue

-106.33% · OPTIONAL · VALID

Revenue growthRAWCurrent state valid · history insufficient
Evidence method

Yoy · gp.fundamentals.revenue

2.06% · CORE · NOT_ENOUGH_HISTORY

Inventory pressure64thOwn-history percentile · N=11
Evidence method

Level · gp.fundamentals.inventory_revenue_ratio

157.69% · OPTIONAL · VALID

Gross margin100thOwn-history percentile · N=11
Evidence method

Level · gp.fundamentals.gross_margin

80.51% · CORE · VALID

Operating marginRAWCurrent state valid · history insufficient
Evidence method

Level · gp.fundamentals.operating_margin

-99.57% · CORE · NOT_ENOUGH_HISTORY

As-filed lineage

Fundamental state history

Each observation is tied to the filing and facts available at that report date. Amendments remain separate.

History33 statesSelf-history eligible
Period transition

What moved in the state?

Cash Generation Decreased
Previous
-14.87%
Current
-106.33%
Delta
-91.45%
Growth Decreased
Previous
18.23%
Current
2.06%
Delta
-16.17%
Inventory Pressure Increased
Previous
34.19%
Current
157.69%
Delta
123.50%
Margin Increased
Previous
57.86%
Current
80.51%
Delta
22.64%
Profitability Decreased
Previous
-19.78%
Current
-99.57%
Delta
-79.79%
Self-history only

Previous similar states

Similarity compares compatible valid dimensions from this issuer's own point-in-time history. No market-return claim is attached.

Not enough compatible prior states for a transparent self-history match.
Research Graph

Related governed research

Method Percentiles and historical matches use only observations available at each point in time. Missing dimensions remain missing. Public price outcomes and cross-market analogues are deliberately absent.