Calculate the capital expenditure intensity, the share of revenue a company reinvests in property, plant and equipment.

Capex intensity shows how capital-heavy a business is: utilities, telecoms, semiconductor manufacturers and energy producers spend a large part of their revenue on capital expenditure, software and services companies very little. Over time a rising intensity points to an investment cycle (capacity being built ahead of revenue), a falling one to a business that is harvesting its existing assets. Damodaran uses it, together with the capex to depreciation ratio, to judge how much a company has to reinvest to grow.

The formula is as follows:

\[\text{Capex Intensity} = | \text{Capital Expenditure} | / \text{Revenue}\]

Capital expenditure is reported as a negative cash outflow, so its magnitude is used. A revenue of zero or less gives NaN.

Also known as: capex to revenue, capex to sales, capex ratio, capital spending intensity.

Capex Intensity in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_capex_intensity as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["TSM", "INTC", "MSFT"],
    api_key="FINANCIAL_MODELING_PREP_KEY",
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.ratios.get_capex_intensity()

Or, after setting up the Finance Toolkit MCP, ask:

How much of their revenue did TSMC, Intel and Microsoft spend on capital expenditure in each year from 2021 to 2025?

Which returns:

  2021 2022 2023 2024 2025
INTC 0.2573 0.3973 0.4748 0.4509 0.2771
MSFT 0.1227 0.1205 0.1326 0.1814 0.2291
TSM 0.5351 0.4813 0.442 0.3303 0.3367

Parameters

get_capex_intensity accepts the following parameters.

ParameterTypeDescriptionExample
roundingint | NoneThe number of decimals to round the results to. Defaults to None, which uses the rounding of the Toolkit (4 unless set otherwise).2
growthboolWhether to calculate the growth of the ratios. Defaults to False.True
lagint | list[int]The lag to use for the growth calculation. Defaults to 1.4
compoundboolWhether the growth is the compound annual growth rate over the lag (e.g. lag=5 for the five-year CAGR) instead of the total change. Defaults to False.False
standardizeboolWhether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.True
trailingintThe number of periods to sum flows (income and cash flow statement items) over. E.g. 4 with quarterly data gives the trailing twelve months (TTM) and 3 with annual data a three-year cumulative figure. Defaults to None, which uses single-period flows.4
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