Every figure this model derived for EMR, 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
EMR on one particular measure came for.
Ratio
Value
current ratio
1.0
current ratio reported
0.9
deferred revenue growth
0.44
dilution pct
-1.27
ev owner earnings
29.0
ev sales
5.0
fcf margin
18.57
growth cv
2.33
owner earnings margin
17.25
revenue growth
4.82
revenue growth per share
6.17
rpo growth
7.87
sbc pct revenue
1.32
What to be careful about
What this model itself distrusts about EMR's figures. Written by the
derivation as it ran, not added afterwards.
presents no operating result; summing the costs it tags misses its own pre-tax profit by 7.5% of revenue, far more than interest can explain, so a cost line it does not tag is missing and the sum was refused rather than used
presents no operating result, and rebuilding it from the statement missed the reported pre-tax profit by 2.63% of revenue, so it is refused rather than used (no value anywhere for InterestIncomeOperating)
no operating income found in XBRL
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, roic, cash operating margin not tagged), so the score is not meaningful. Its weight is spread over the other dimensions
valuation rests on 1 of 2 inputs; not tagged: ev ebit
resilience rests on 2 of 3 inputs; not tagged: interest cover
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 (quality, growth -- 50% of the model), so this row is not comparable with the others; its total rests on what was left