Every figure this model derived for EXA.PA, 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
EXA.PA on one particular measure came for.
Ratio
Value
cash operating margin
6.62
ev ebit
64.52
ev sales
4.27
interest cover
1.18
operating margin
6.62
revenue growth
28.27
revenue growth per share
28.27
roic
7.22
rule of 40
34.89
sbc pct revenue
0.0
What to be careful about
What this model itself distrusts about EXA.PA's figures. Written by the
derivation as it ran, not added afterwards.
operating cash flow last tagged 2023-12-31, 731 days before the revenue period (2025-12-31); dropped rather than divided by current revenue
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 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
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 rests on 4 of 5 inputs; not tagged: owner earnings
valuation rests on 1 of 2 inputs; not tagged: ev owner earnings
durability DROPPED from the total: only 0 of 4 inputs could be computed (worst year, contracted coverage, gross margin stability, cash flow stability not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
resilience rests on 2 of 3 inputs; not tagged: liquidity
growth DROPPED from the total: only 1 of 4 inputs could be computed (sustained growth, 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 (durability, growth -- 30% of the model), so this row is not comparable with the others; its total rests on what was left