Every figure this model derived for FOA, 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.
The figures themselves rather than their scores — what somebody looking up
FOA on one particular measure came for.
Ratio
Value
cash operating margin
-8.76
current ratio
0.05
current ratio reported
0.05
dilution pct
15.07
fcf margin
-164.79
growth cv
1.63
interest cover
-0.12
operating margin
-20.35
owner earnings margin
-164.79
roic
-8.1
sbc pct revenue
0.0
What to be careful about
What this model itself distrusts about FOA's figures. Written by the
derivation as it ran, not added afterwards.
operating income last tagged 2021-03-31, 1917 days before the revenue period (2026-06-30); dropped rather than divided by current revenue
no operating income tagged; derived as revenue minus OperatingExpenses
no current stock compensation tagged (last tagged 2019-12-31); treated as zero, so owner earnings are overstated
no current capital expenditure tagged (last tagged 2022-12-31); treated as zero, so free cash flow is overstated and equals operating cash flow
no market cap; set `market_cap` in overrides.yaml
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
growth DROPPED from the total: only 2 of 4 inputs could be computed (revenue growth, margin recent not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
3 of 5 dimensions could not be measured (valuation, durability, growth -- 55% of the model), so this row is not comparable with the others; its total rests on what was left