Every figure this model derived for LNSR, 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.
Figure
Value
XBRL tag
As at
capex
83,000
PaymentsToAcquirePropertyPlantAndEquipment
2025-12-31
cash
13,565,000
CashAndCashEquivalentsAtCarryingValue
2026-06-30
current assets
47,026,000
AssetsCurrent
2026-06-30
current liabilities
19,640,000
LiabilitiesCurrent
2026-06-30
equity
14,905,000
StockholdersEquity
2026-06-30
ocf
-7,293,000
NetCashProvidedByUsedInOperatingActivities
2026-06-30
revenue
60,264,000
Revenues
2026-06-30
sbc
2,760,000
ShareBasedCompensation
2026-06-30
The ratios
The figures themselves rather than their scores — what somebody looking up
LNSR on one particular measure came for.
Ratio
Value
cash operating margin
-2.84
current ratio
2.81
current ratio reported
2.39
deferred revenue growth
15.78
dilution pct
3.82
fcf margin
-12.24
growth cv
0.59
operating margin
-13.48
owner earnings margin
-16.82
revenue growth
3.26
revenue growth per share
-0.55
roic
-479.07
rpo growth
8.75
rule of 40
-10.23
sbc pct revenue
4.58
What to be careful about
What this model itself distrusts about LNSR's figures. Written by the
derivation as it ran, not added afterwards.
no market cap; set `market_cap` in overrides.yaml
gross profit not tagged; rebuilt from Revenues - CostOfRevenue
no debt and no profit, so interest cover cannot be measured; scored on cash runway instead: 14M of net cash against a 7M annual burn is 1.8 years
no forward EPS estimate; growth rests on filings only. Analyst consensus is not published in XBRL, so it has to be fetched from a data provider or set by hand in overrides.yaml as `eps_growth_2y`
valuation DROPPED from the total: only 0 of 2 inputs could be computed (ev sales, ev owner earnings not tagged), so the score is not meaningful. Its weight is spread over the other dimensions