Cambridge Associates, Macrobond, Bloomberg. US equities: S&P 500 Index; Private infrastructure: Cambridge Associates Infrastructure Index (unsmoothed); Global equities: MSCI World Index; Global bonds: Bloomberg Global Aggregate Index. Analysis conducted from Q1 2006 – Q4 2025. Inflation refers to changes in headline Consumer Price Index (CPI). Average annual inflation over the period was 2.4%. Past performance is not indicative of future returns. For illustrative purposes only.
CHAPTER 3
Built to keep pace with inflation
Infrastructure’s relationship with inflation goes beyond revenue protection. With contractual and regulatory structures that can link revenues to price indices, infrastructure has historically demonstrated resilience across inflationary environments, helping preserve the real value of cash flows while supporting earnings growth over time.
Many private infrastructure assets operate under long-term contracts or regulatory frameworks that can link revenues to inflation indices. This structure has historically allowed revenues to adjust as prices rise, helping preserve the real value of cash flows during inflationary periods. Between 2006 and 2025, private infrastructure delivered resilient returns across both above and below-average inflation environments.
Average annualised returns during above - and below-average inflation
Key takeaway
Private infrastructure has historically delivered resilient returns across both above and below-average inflation environments
Not all infrastructure sectors respond to inflation in the same way. Regulated networks and digital infrastructure have historically exhibited stronger inflation linkage, while airports and toll roads have been influenced more by economic growth.
Infrastructure revenue growth by sector
Key takeaway
The combination of inflation-linked and growth-linked sectors helps support resilience across a range of environments.
Bloomberg, Macquarie Asset Management (June, 2025). Drawing on MAM's comprehensive proprietary data and a range of publicly available data sources, we have compiled a detailed and extensive financial statement database of 211 private infrastructure assets. The dataset of realised and unrealised assets covers the period 2008 to 2024 (inclusive). Aggregate time series for revenue and EBITDA are calculated by weighting sectors according to their share of total deal volumes. The five sectors are transport, utilities and power, digital infrastructure, energy midstream and diversified infrastructure (e.g. waste). The dataset primarily includes brownfield operating assets and excludes greenfield or development projects. The outlier data points were detected and removed using the interquartile range (IQR) method. No assets were otherwise excluded. For illustrative purposes only. Past performance is not indicative of future returns.
EBITDA growth has historically remained positive across both above and below‑average inflation environments, with digital infrastructure demonstrating particular resilience. This reflects the structural demand underpinning many infrastructure assets, rather than reliance on a single macroeconomic backdrop.
Average EBITDA growth by sector during above- and below-average inflation
Key takeaway
Infrastructure EBITDA growth has remained positive across both above and below-average inflation environments.
Bloomberg, Macquarie Asset Management (June, 2025). Drawing on MAM's comprehensive proprietary data and a range of publicly available data sources, we have compiled a detailed and extensive financial statement database of 211 private infrastructure assets. The dataset of realised and unrealised assets covers the period 2008 to 2024 (inclusive). Aggregate time series for revenue and EBITDA are calculated by weighting sectors according to their share of total deal volumes. The five sectors are transport, utilities and power, digital infrastructure, energy midstream and diversified infrastructure (e.g. waste). The dataset primarily includes brownfield operating assets and excludes greenfield or development projects. The outlier data points were detected and removed using the interquartile range (IQR) method. No assets were otherwise excluded. For illustrative purposes only. Past performance is not indicative of future returns.
How infrastructure responds to inflation
Revenue linkage supports resilience
Many infrastructure assets operate under contractual or regulatory frameworks that can allow revenues to adjust alongside inflation.
Diversified revenue drivers
A mix of inflation-linked and growth-linked sectors gives infrastructure diversified revenue drivers across inflation environments.
Infrastructure supports earnings
Infrastructure EBITDA growth has historically remained positive across both aboveand below-average inflation environments.
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Built for growth
Portfolio and risk metrics
Efficient frontier: The set of portfolios offering the highest expected return for a given level of risk, or the lowest expected risk for a given level of return.
Volatility: A measure of how much an asset’s returns fluctuate over time. Higher volatility indicates greater variability in returns.
Correlation: A measure of how closely the returns of two assets move together. Lower correlation between assets can contribute to portfolio diversification.
Drawdown: The decline in an investment’s value from a previous peak to a subsequent low, used to assess the severity of losses during periods of market stress.
Standard deviation: A statistical measure of the variation in returns, commonly used to quantify volatility.
Macroeconomic terms
GDP: Gross Domestic Product. The total value of goods and services produced within a country.
CPI: Consumer Price Index. A measure of the average change over time in the prices paid by consumers for a basket of goods and services, commonly used as a measure of inflation.
Deglobalisation: A shift towards less globally integrated trade and production, often reflected in more regionalised supply chains and a greater focus on domestic resilience.
Financial and valuation metrics
EBITDA: Earnings Before Interest, Taxes, Depreciation and Amortisation. A common measure of operating profitability.
EV/EBITDA: Enterprise value, or EV, measures a company’s total value and, when compared with its EBITDA, shows whether the company is overvalued or undervalued.
CAGR: Compound Annual Growth Rate. The constant annual rate at which an investment or metric would have grown over a specified period, assuming compounding.
Unsmoothed returns: Returns are adjusted to remove the artificial calm from lagging appraisals so a private investment’s true volatility can be fairly compared with daily-priced assets.
Infrastructure-specific terms
Contracted or regulated revenues: Revenues governed by contractual agreements or regulatory frameworks, which can provide greater visibility over future cash flows.
Concession agreement: An agreement granting a private operator the right to develop, operate or maintain an infrastructure asset for a specified period, subject to defined terms and obligations.
Energy midstream: Infrastructure involved in the transportation, storage and processing of energy commodities between production and end-market distribution.
Private and listed infrastructure: Private infrastructure comprises unlisted assets typically held directly or through private funds. Listed infrastructure comprises publicly traded companies that own or operate infrastructure assets.
Indices referenced
Broad market indices
Cambridge Associates Infrastructure Index: Represents the performance of private infrastructure funds and is used as the private infrastructure return benchmark.
S&P 500 Index: Measures the performance of large-cap US equities and is used as the US equities comparator.
MSCI World Index: Captures large- and mid-cap equity performance across developed markets and is used as the global equities comparator.
Bloomberg Global Aggregate Index: Measures the performance of global investment-grade fixed-rate debt markets and is used as the global bonds comparator.
Dow Jones Brookfield Global Infrastructure Total Return Index: Measures the total return performance of listed infrastructure companies globally and is used as the listed infrastructure comparator.
Credit and alternative indices
Bloomberg Global High Yield Corporate Index: Measures the performance of global below-investment-grade corporate bonds.
Bloomberg Global Aggregate Corporate Index: Measures the performance of global investment-grade corporate bonds.
Cambridge Associates US Private Equity Index: Represents the performance of US private equity funds and is used as the private equity comparator.
Cambridge Associates Real Estate Index: Represents the performance of private real estate funds and is used as a private real estate comparator.
Cliffwater Direct Lending Index: Measures the performance of US middle-market direct lending and is used as the private credit comparator.
INREV Global Real Estate Fund Index (GREFI): Measures the performance of non-listed real estate funds globally and is used as the private real estate comparator.
Research methodology
Unsmoothed returns
Unsmoothed returns: Returns are adjusted to remove the artificial calm from lagging appraisals so a private investment’s true volatility can be fairly compared with daily-priced assets.
Private and listed equity valuation comparisons: Comparisons between private and listed equity valuations are subject to differences in valuation methodology, asset liquidity and risk profile.
Methodology pertaining to chapter 5
To ensure the time series is as accurate and representative as possible, we have used the following principles to build it:
Quality sources: We have used our trusted internal database of EV/EBITDA multiples and reliable external data sources, such as Inframation and Bloomberg.
Large sample size: Our database contains 1,054 data points for private infrastructure transactions that reached financial close between 2008 and 2022, inclusive.
Long history: Our time series covers a period of 15 years, including two recession periods, the GFC and COVID-19, and two recoveries.
Strict definition: The dataset primarily includes brownfield assets that are underpinned by regulated or contracted cash flows, with limited exposure to assets with significant merchant risk.
Diversification by sector: The dataset is well diversified by sector, including transport, utilities, digital infrastructure, renewables, energy midstream and diversified infrastructure.
Diversification by country: The dataset is also well diversified by country, with the largest exposures being to the US, UK, Spain, Italy, France and Australia.
Transparent approach: No adjustments have been applied to the reported multiples, except for the calculation of monthly, or quarterly where applicable, moving averages.
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