Every figure this model derived for FGPR, 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 2026-04-30.
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 figures themselves rather than their scores — what somebody looking up
FGPR on one particular measure came for.
Ratio
Value
cash operating margin
16.14
current ratio
1.06
current ratio reported
1.06
ebit cagr
-5.76
ebit yoy
106.86
fcf margin
4.66
growth cv
1.96
interest cover
1.66
net debt ebitda
4.67
operating margin
10.52
owner earnings margin
4.66
revenue growth
-3.64
revenue growth per share
-3.64
rule of 40
6.89
sbc pct revenue
0.0
What to be careful about
What this model itself distrusts about FGPR's figures. Written by the
derivation as it ran, not added afterwards.
no current stock compensation tagged (last tagged 2018-07-31); treated as zero, so owner earnings are overstated
no market cap; set `market_cap` in overrides.yaml
share count is from 2021-10-31 (1764 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.
invested capital is 0M (cash exceeds equity plus debt), so return on capital is unbounded rather than undefined; scored as maximal
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
gross profit last tagged 2014-07-31 and no cost of sales line to rebuild it from; dropped from durability
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 DROPPED from the total: only 2 of 4 inputs could be computed (contracted coverage, gross margin stability not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
2 of 5 dimensions could not be measured (valuation, durability -- 35% of the model), so this row is not comparable with the others; its total rests on what was left