Every figure this model derived for GOLD, 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 2026-03-31.
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
GOLD on one particular measure came for.
Ratio
Value
cash operating margin
0.91
current ratio
1.2
current ratio reported
1.18
deferred revenue growth
117.81
dilution pct
1.33
fcf margin
0.9
growth cv
0.8
interest cover
2.85
operating margin
0.75
owner earnings margin
0.89
revenue growth
109.44
revenue growth per share
106.69
roic
19.36
rule of 40
110.19
sbc pct revenue
0.01
What to be careful about
What this model itself distrusts about GOLD's figures. Written by the
derivation as it ran, not added afterwards.
presents no operating result; summed as revenue minus the costs it does tag (CostOfGoodsAndServicesSold, SellingGeneralAndAdministrativeExpense). Checked against the company's own figures: the answer lands 0.3% of revenue from the 110M pre-tax profit it reports, which is its interest and other non-operating items
no market cap; set `market_cap` in overrides.yaml
share count is from 2026-05-01 (121 days old, dei cover page); 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
growth DROPPED from the total: only 2 of 4 inputs could be computed (margin trend, margin recent 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, growth -- 45% of the model), so this row is not comparable with the others; its total rests on what was left