IT Infrastructure Industry Management Effectiveness
Return-on-capital benchmarks for IT Infrastructure Industry: Return on Assets, Return on Investment and Return on Equity, with cross-industry rankings.
Where the margin profile measures profit per dollar of sales, these ratios measure profit per dollar of capital — how efficiently the industry turns assets, invested capital and equity into earnings. Commercial access adds ROIC, DuPont decomposition, asset turnover and financial leverage across the peer set.
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IT Infrastructure Industry Returns on Capital
| Metric | Q2 2026 | Q1 2026 | Q4 2025 | Q3 2025 | Q2 2025 |
|---|---|---|---|---|---|
| Return on Assets (TTM) Net income / total assets |
7.27% | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Return on Investment (TTM) Net income / invested capital |
8.23% | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Return on Equity (TTM) Net income / shareholders' equity |
13.65% | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
Multi-period returns on capital and peer rankings for IT Infrastructure Industry require a subscription or commercial license.
Returns on Capital in Capital Allocation, Credit & Equity Research
Return on assets, investment and equity answer a different question than margins do: not how much profit a sale carries, but how much profit the capital tied up in the business throws off. A company can run thin margins and still compound capital quickly if it turns its asset base over fast enough — which is exactly why these ratios sit at the centre of capital-allocation work.
Boards and management teams benchmark their returns against the industry to decide whether to reinvest, buy back stock or return cash; a business earning below its cost of capital destroys value no matter how the income statement reads. Where this industry's returns sit relative to peers, and which way they are trending, frames that call.
Lenders and credit committees lean on ROA and asset turnover to gauge how productively assets are financed, while equity analysts decompose ROE into margin, turnover and leverage (the DuPont view) to separate genuine operating quality from returns that are merely borrowed. For the per-dollar-of-sales side of the story, see the margin profile.
| Metric | Q2 2026 TTM | Q1 2026 TTM | Q4 2025 TTM | Q3 2025 TTM | Q2 2025 TTM |
|---|---|---|---|---|---|
| Core returns on capital | |||||
| Return on Assets Net income / total assets |
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| Return on Equity Net income / shareholders' equity |
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| Return on Invested Capital (ROIC) NOPAT / invested capital |
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| Operating ROA Operating income / assets |
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| Incremental ROIC Change in NOPAT / change in capital |
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| DuPont & efficiency | |||||
| DuPont ROE Net margin x asset turnover x leverage |
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| Financial Leverage Assets / equity (x100) |
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| Operating Leverage Operating leverage ratio |
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| Capital Intensity Assets / revenue (x100) |
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| Cash conversion | |||||
| FCF / Net Income Free cash flow vs net income |
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| FCF / Operating Income Free cash flow vs operating income |
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| Operating Cash Flow / Net Income Cash conversion |
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| Capital allocation & quality | |||||
| Retention Ratio Earnings retained vs paid out |
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| Sustainable Growth Rate ROE x retention |
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| Management Effectiveness Score Composite, 0-100 |
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| ROIC distribution (cross-sectional) | |||||
| ROIC Median Cross-sectional median |
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| ROIC 25th Pct. Lower quartile |
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| ROIC 75th Pct. Upper quartile |
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| ROIC Std. Dev. Dispersion across peers |
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| ROIC IQR (Spread) P75 - P25 |
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| ROIC 10th Pct. Lower decile |
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| ROIC 90th Pct. Upper decile |
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| ROIC Mean Abs. Deviation Robust dispersion |
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| ROIC Z-Score Std deviations from peer mean |
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| Coverage | |||||
| Operating Income Reported # companies reported |
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| Net Income Reported # companies reported |
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| Cross-industry percentile | |||||
| ROE Cross-Industry Percentile Where ROE ranks across all industries |
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Return on assets / invested capital, the DuPont decomposition, cash-conversion and dispersion stats for credit, risk and quant models require a commercial license.
| Metric | FY 2025 | FY 2024 | FY 2023 | FY 2022 | FY 2021 |
|---|---|---|---|---|---|
| Core returns on capital | |||||
| Return on Assets Net income / total assets |
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| Return on Equity Net income / shareholders' equity |
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| Return on Invested Capital (ROIC) NOPAT / invested capital |
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| Operating ROA Operating income / assets |
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| Incremental ROIC Change in NOPAT / change in capital |
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| DuPont & efficiency | |||||
| DuPont ROE Net margin x asset turnover x leverage |
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| Financial Leverage Assets / equity (x100) |
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| Operating Leverage Operating leverage ratio |
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| Capital Intensity Assets / revenue (x100) |
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| Cash conversion | |||||
| FCF / Net Income Free cash flow vs net income |
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| FCF / Operating Income Free cash flow vs operating income |
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| Operating Cash Flow / Net Income Cash conversion |
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| Capital allocation & quality | |||||
| Retention Ratio Earnings retained vs paid out |
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| Sustainable Growth Rate ROE x retention |
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| Management Effectiveness Score Composite, 0-100 |
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| ROIC distribution (cross-sectional) | |||||
| ROIC Median Cross-sectional median |
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| ROIC 25th Pct. Lower quartile |
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| ROIC 75th Pct. Upper quartile |
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| ROIC Std. Dev. Dispersion across peers |
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| ROIC IQR (Spread) P75 - P25 |
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| ROIC 10th Pct. Lower decile |
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| ROIC 90th Pct. Upper decile |
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| ROIC Mean Abs. Deviation Robust dispersion |
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| ROIC Z-Score Std deviations from peer mean |
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| Coverage | |||||
| Operating Income Reported # companies reported |
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| Net Income Reported # companies reported |
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| Cross-industry percentile | |||||
| ROE Cross-Industry Percentile Where ROE ranks across all industries |
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Return on assets / invested capital, the DuPont decomposition, cash-conversion and dispersion stats for credit, risk and quant models require a commercial license.
What drives return on capital in IT Infrastructure Industry
IT Infrastructure Industry earns about 7.3% on its assets and 13.7% on equity over the trailing year, with return on invested capital near 6.5%. Pricing does more of the work here than the balance sheet: a 14.7% net margin, assets turning 0.49x, and a modest 1.88x of financial leverage multiply out to roughly the 13.7% return on equity.
Across every industry we track, that return on equity lands in the 45th percentile, around the middle of the pack. In the licensed columns the ROIC distribution puts the typical industry near 2.0%, with the middle half running -11.6% to 6.6%. The spread is wide: the lower quartile sits at -11.6%, so a fair number of industries earn little or nothing on invested capital, and one quarter is a poor place to stop reading. Assets turn slowly here, about 0.49x a year, so the asset-turnover and capital-intensity figures matter as much as the return: in Technology, every point of ROIC above the cost of funding that asset base is hard won. On a cross-industry basis its ROIC sits about 0.08 standard deviations above the average industry.
For a private-equity or infrastructure buyer this is an asset-efficiency read. 6.5% on invested capital against the cost of carrying that asset base decides whether the asset is worth owning, and turnover near 0.49x caps how fast it can grow without fresh capital. Operating partners track the same numbers after a deal, and consultants use them to size the gap to the most efficient operators in Technology.
The series runs back about twenty years, recorded point-in-time and normalized the same way for every industry. That is what makes it useful to people building models instead of reading pages: the same panel that feeds a backtest feeds a retrieval setup, and an agent grounded on this industry's 7.3% return on assets, 0.49x asset turnover and its place in the ROIC distribution answers more steadily than one reasoning from a stack of raw filings, because the comparable-numbers problem is already solved. It is a dataset built to be queried; the reasoning stays with whatever model you point at it.
Industry Benchmarking Dataset for Institutional Use
CommercialThe data presented above is part of our institutional-grade Industry Benchmarking Dataset, designed for integration into credit risk models, portfolio analytics, and internal banking systems. The full dataset is available under a Commercial License, with delivery via API or bulk CSV datasets.
Decision Framework & Data Access
Power onboarding, benchmarking, and quantitative analysis with institutional-grade datasets structured for direct integration into financial models and risk frameworks.
- Industry benchmarking datasets (valuation, growth, profitability)
- Designed for quant models and benchmarking workflows
- Consistent time-series structure (Quarterly, TTM, Annual)
- Coverage across 100+ industries and 20+ years of history
