Every figure this model derived for MGAM, 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
MGAM on one particular measure came for.
Ratio
Value
current ratio
0.23
current ratio reported
0.22
dilution pct
115.39
interest cover
-142.13
roic
-272.78
sbc pct revenue
0.0
What to be careful about
What this model itself distrusts about MGAM's figures. Written by the
derivation as it ran, not added afterwards.
WITHHELD: operating margin, cash operating margin, owner earnings margin, fcf margin, net margin, capex intensity, ocf margin, ebitda margin -- net margin came out at -26,468% against a scale that tops out near 1,500%, which is arithmetic on a revenue figure of 10,017 rather than a margin. The figure is absent rather than corrected: there is no right value to put here.
no current stock compensation tagged; treated as zero, so owner earnings are overstated
no market cap; set `market_cap` in overrides.yaml
share count is from 2026-05-12 (110 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`
quality DROPPED from the total: only 2 of 5 inputs could be computed (operating margin, owner earnings, cash operating margin not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
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 (worst year, gross margin stability not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
growth DROPPED from the total: only 1 of 4 inputs could be computed (revenue growth, sustained growth, margin trend not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
4 of 5 dimensions could not be measured (quality, valuation, durability, growth -- 85% of the model), so this row is not comparable with the others; its total rests on what was left