Every figure this model derived for JCI, 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
JCI on one particular measure came for.
Ratio
Value
cash operating margin
17.69
current ratio
1.42
current ratio reported
1.04
deferred revenue growth
19.54
dilution pct
-3.24
fcf margin
10.91
growth cv
5.25
interest cover
10.51
net debt ebitda
2.01
operating margin
13.81
owner earnings margin
10.31
revenue growth
5.1
revenue growth per share
8.62
roic
12.16
rpo growth
19.55
rule of 40
18.9
sbc pct revenue
0.6
What to be careful about
What this model itself distrusts about JCI's figures. Written by the
derivation as it ran, not added afterwards.
operating income last tagged 2016-06-24, 3567 days before the revenue period (2026-03-31); dropped rather than divided by current revenue
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 3.5% of revenue from the 2,506M 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 2026-03-31 (152 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