Every figure this model derived for NNNN, 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 2025-12-31.
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 figures themselves rather than their scores — what somebody looking up
NNNN on one particular measure came for.
Ratio
Value
cash operating margin
66.7
current ratio
344.31
current ratio reported
344.31
dilution pct
3.27
ebit cagr
-17.29
ebit yoy
189.06
fcf margin
-77.94
operating margin
66.7
owner earnings margin
-77.94
revenue growth
5.64
revenue growth per share
2.3
roic
24.96
rule of 40
72.34
sbc pct revenue
0.0
What to be careful about
What this model itself distrusts about NNNN's figures. Written by the
derivation as it ran, not added afterwards.
revenue is annual, not TTM
operating income is annual, not TTM
no current stock compensation tagged; treated as zero, so owner earnings are overstated
no current capital expenditure tagged; treated as zero, so free cash flow is overstated and equals operating cash flow
no market cap; set `market_cap` in overrides.yaml
share count is from 2025-12-31 (242 days old, weighted average diluted); a stock split since then would make the market cap wrong. Set `market_cap` in overrides.yaml to be sure.
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
durability rests on 3 of 4 inputs; not tagged: contracted coverage
growth rests on 3 of 4 inputs; not tagged: sustained growth