Like for Like: The Definitive Guide to Like for Like Metrics, Methods and Mastery

In the world of business analysis, the phrase Like for Like sits at the centre of meaningful comparison. Whether you are a retailer assessing store performance, a finance professional benchmarking revenue, or a strategist translating data into clear leadership insight, the concept of Like for Like helps strip away noise and reveal true growth. This comprehensive guide explains what Like for Like means in practice, why it matters, how to calculate it accurately, and how to communicate results with confidence to stakeholders. Along the way, you’ll find practical examples, common pitfalls, and forward-looking insights to keep your analyses robust in a fast-changing market.

What is Like for Like? Defining the Core Concept

Like for Like is a measurement that compares two sets of data in a way that keeps the comparison fair and consistent. In retail, Like for Like typically refers to same-store sales growth or like-for-like growth, which excludes the impact of newly opened or closed stores. In finance and accounting, the term can be used more broadly to describe adjustments that isolate normalised performance, removing one-off events or structural changes for a more apples-to-apples comparison.

Put simply, Like for Like asks: if we hold the same portfolio of assets or units, what is the real growth or decline you are seeing? This approach avoids overstating success when a business simply opens more stores or closes underperforming ones, and it avoids masking weakness by throwing in the effects of acquisitions or disposals. Like for Like is about comparability: it aims to create a consistent baseline so that stakeholders can judge performance accurately.

Because language matters in reporting, you will often see variations of the term, including like-for-like, like-for-like growth, and hyphenated forms like like-for-like. In practice, the choice of form rarely changes the underlying calculation; the emphasis remains on comparability and consistency. For the purposes of this guide, we will use Like for Like in headings and like-for-like or like for like within body text as appropriate, keeping in step with contemporary UK usage.

Like for Like in Retail: The Heart of Performance Reporting

In the retail sector, Like for Like is a cornerstone metric. It answers a foundational question: how well are existing stores performing, independent of the influence of new openings or store closures? The appeal is simple yet powerful: it reveals true operational momentum, customer demand, and the effectiveness of merchandising, pricing, and promotions.

Same-Store Sales vs. Like-for-Like Growth

While “same-store sales” is a commonly understood phrase in the retail trade, it is essentially a practical realisation of Like for Like. The definition may vary slightly by retailer, but the principle remains consistent: compare sales from stores that have been trading for a certain period, typically 12 months or longer, to a prior period. The result is a measure of Like for Like growth that is free from distortions caused by new openings, closures, or store relocations.

Here is a typical approach used by a mid-sized retailer: take the total net sales from stores open at the same time last year, exclude any revenue from stores opened or closed during the period, and adjust for calendar effects such as trading day differences. The outcome is a clean Like for Like figure that represents the underlying performance of the existing estate. Investors and lenders often rely on this measure when evaluating ongoing profitability and capital allocation decisions.

In addition to stores, retailers may apply Like for Like to channels such as e-commerce and omnichannel sales. The challenge is deciding which channels to include or exclude to preserve comparability. The guiding principle remains: keep the base period consistent and avoid mixing in structural changes that would distort growth interpretation.

Practical Calculation Considerations

To compute Like for Like, you typically start with the period you want to assess and identify the relevant set of stores or channels. Then you compare sales from those units that existed during both periods. If you are measuring year-on-year Like for Like, you compare the current period with the same period a year earlier, ensuring calendar alignment (for example, comparing a full quarter with the corresponding quarter from the previous year).

Seasonality matters. Some retailers experience strong seasonal fluctuations, so it is common to apply seasonally adjusted methods or to compare full-year results to achieve a more stable picture. When promotions or exceptional events occur in either period, analysts may adjust the figures or provide notes to explain their impact on the Like for Like outcome. Transparency is essential for credible reporting.

Another nuance is the treatment of acquisitions and disposals. If a retailer acquires a new business unit, it can be argued that including the acquired unit in Like for Like would distort comparability. Many firms publish both like-for-like figures and total or pro forma figures to provide a complete view. The key idea is to present a baseline that reflects ongoing performance in the existing footprint while flagging how acquisitions influence overall results.

Like for Like in Finance and Accounting: A Rigourous Benchmark

Beyond retail, the concept of Like for Like finds a home in accounting, financial reporting, and corporate benchmarking. In these fields, the aim is to create an unvarnished view of recurring performance, stripping out irregular items such as one-off gains or losses, restructuring costs, and other non-operational events. There is a close kinship between Like for Like and continued internal performance metrics, but the emphasis in finance is often on investor communications and external comparability.

Pro Forma vs Like-for-Like: What to Compare

A common question is how Like for Like differs from pro forma reporting. Pro forma figures are designed to present what results would look like if a company had always operated under current conditions, such as excluding the impact of mergers and acquisitions, currency fluctuations, or temporary market disruptions. Like for Like, by contrast, isolates the continuous operating performance of the existing business without these extraordinary items.

In practice, many organisations publish both sets of figures: Like for Like for a straightforward assessment of ongoing performance, and pro forma or statutory numbers for a complete, headline view. The distinction helps analysts unpack the drivers of change and communicate the sources of growth or decline with clarity.

Impact on Valuation and Investor Communications

Like for Like has a direct bearing on how investors perceive a company’s trajectory. Consistent Like for Like growth signals steady demand, competitive strength, and effective cost management. Conversely, weak Like for Like figures can prompt questions about strategic direction or operational efficiency. Companies should clearly define their Like for Like methodology in annual reports and quarterly results, including which items are excluded and how calendar effects are addressed. Clarity reduces misinterpretation and fosters trust among shareholders and lenders.

To bolster confidence, many organisations attach a short note explaining any adjustments, the treatment of seasonal patterns, and the impact of major store openings or closures. Transparency in the Like for Like methodology improves comparability across peers and time, which is invaluable in due diligence processes, equity research, and rating agency assessments.

How to Calculate Like for Like: Step-by-Step Guidance

Whether you are calculating Like for Like for a single store portfolio or a large multi-channel operation, the calculation follows a consistent framework. The steps below provide a practical blueprint you can adapt to your organisation’s reporting calendar and data systems.

Step 1: Define the Scope

Decide which stores, channels, or products will be included in the Like for Like calculation. Exclude units that did not operate in both periods and any stores opened or closed during the period. Clarify whether you will apply the metric to a specific geography, brand, or business line, and document any deviations for internal governance.

Step 2: Align the Time Period

Choose the comparison period. Year-on-year comparisons are common, but month-on-month or quarter-on-quarter Like for Like can be used for more granular insights. Ensure calendar alignment so that trading days and seasonal effects are comparable between periods.

Step 3: Gather and Clean Data

Collect sales data for the included units in both periods. Clean the data by removing duplicates, correcting errors, and ensuring consistency in currencies, deflators, and promotional allowances. Inconsistent data is a frequent source of distorted Like for Like results, so robust data governance is essential.

Step 4: Calculate Growth

Compute the percentage change in sales or any other relevant metric (e.g., gross margin, footfall) between the two periods for the selected units. Use a consistent formula: (Current Period Value – Baseline Value) / Baseline Value x 100. Repeat for each unit, then aggregate to the portfolio level as required.

Step 5: Aggregate and Report

Sum the Like for Like numbers across units to obtain total growth, or present a per-unit breakdown alongside the aggregate figure. When aggregating, ensure that the inclusion criteria are applied uniformly to maintain comparability. Publish the final Like for Like figure with a transparent note on scope, methodology, and any exclusions.

For organisations operating a multi-brand portfolio or diverse channels, a staged approach can be helpful. Publish separate Like for Like figures for each brand or channel, then present a consolidated figure. This dual or triple-layer reporting supports internal decision-making and external communications alike.

Examples and Practical Illustrations

Consider a retailer with 50 stores that have been open for at least a year. In the year ending December, 2025, 48 of these stores remained open, while two new stores opened mid-year and are excluded from Like for Like. The like-for-like sales for the existing 48 stores rose from £24 million to £25.5 million over the year. The calculation would be:

Current period = £25.5 million; Baseline period = £24 million. Like for Like growth = (25.5 – 24) / 24 x 100 = 6.25%.

In this example, the Like for Like growth of 6.25% reflects genuine momentum in the core estate, independent of the impact of the new openings. If the retailer reports total growth including new stores, the headline figure may be higher, but stakeholders can rely on the Like for Like figure to understand ongoing performance.

Another scenario involves a multinational retailer with both bricks-and-mortar stores and e-commerce. To avoid comparing apples to oranges, the company might calculate Like for Like separately for physical stores and for online sales, then present a combined Like for Like figure that excludes the effects of new channels while still acknowledging the contributions from the online business. Such a blended approach demonstrates the flexibility of Like for Like as a metric while preserving comparability.

Common Pitfalls and How to Avoid Them

Like for Like reporting, while valuable, can be misused if definitions are vague or changes are not properly disclosed. Here are some frequent pitfalls and practical fixes to keep your reporting credible.

Inconsistent Scope

Including stores from a different geography or brand in one period but excluding them in another can distort results. Maintain a stable scope and document any changes with a clear rationale. If changes are necessary, provide a revised baseline and a transparent reconciliation.

Promotions and Discounts

Promotional activity can inflate short-term Like for Like growth if you do not adjust for promotional rebates or returns. Decide whether to treat promotions as net sales or to exclude the incremental uplift from the calculation. Document the chosen approach and apply it consistently.

Currency Fluctuations

In multinational organisations, currency movements can distort Like for Like figures. If reporting in constant currency is not feasible, explain how currency effects are treated and whether the figures have been adjusted for exchange rate changes.

Seasonality and Calendar Effects

Seasonality can obscure true performance. Use seasonally adjusted figures where appropriate or compare equivalent periods to control for seasonal variation. Provide notes explaining any calendar-related adjustments to enhance interpretability.

One-off Events

Restructuring, asset sales, or exceptional items should be carefully handled. It is good practice to explicitly separate recurring Like for Like results from one-off adjustments so that readers can distinguish normal business momentum from atypical events.

Like for Like in the Digital Age: Data-Driven Insights

The rise of digital commerce and omnichannel strategies has expanded the reach of Like for Like concepts. Retailers now track Like for Like across multiple touchpoints, including online transactions, click-and-collect conversions, and store visits that translate into sales. In finance, better data integration between ERP, CRM, and e-commerce platforms enables more accurate and timely Like for Like reporting, assisted by automation and analytics.

As data grows richer, the risk of over-complication increases. A clear governance framework is essential. Define what is included, how to treat partial data, and what constitutes a materially different period. Remember that the goal of Like for Like remains comparability and clarity, not data density for its own sake.

Reversing the View: A Thoughtful Perspective on Like for Like

Sometimes, turning the phrase around highlights the underlying logic. For example: “Like for Like growth, year over year, reveals underlying demand after removing the effects of openings and closures.” Reversing the emphasis, “Year-over-year growth, like for like, reveals the true core performance.” This rhetorical exercise can aid communications with non-technical stakeholders, helping them grasp why the metric matters beyond headline numbers.

In practice, teams that master Like for Like also cultivate a healthy scepticism about data. They ask: Are the comparisons truly apples to apples? Are there any hidden biases in the base period? By staying vigilant, finance teams and commercial leaders can prevent misinterpretation and ensure that Like for Like remains a trusted compass for decision-making.

Best Practices for Communicating Like for Like

Clear communication is essential when discussing Like for Like with investors, board members, and colleagues. Here are practical guidelines to ensure your reporting is transparent, credible and actionable.

Document the Methodology

Publish a concise methodology note that defines what is included in Like for Like, how the base period is chosen, how calendar effects are addressed, and how one-off items are treated. Ensure this note is accessible alongside the main results and that any updates are clearly dated.

Differentiate Between Like for Like and Total Performance

Present Like for Like side by side with total or pro forma figures. Explicitly call out the drivers behind differences between the two. This approach helps readers understand how much of the movement is due to core operations versus structural changes.

Use Visual Aids

Charts and dashboards that show Like for Like alongside other metrics—such as gross margin, footfall, or conversion rates—support more intuitive interpretation. Use consistent scales, annotate notable events, and provide hover-text or captions that explain the context of the data.

Offer a Narrative That Complement the Numbers

Numbers tell part of the story; the narrative fills in the rest. Provide a concise explanation of what drove the Like for Like performance, what the management plans are to sustain or improve momentum, and how the organisation will address any headwinds. This helps stakeholders connect the data to strategy.

The Future of Like for Like: Trends and Considerations

As business environments evolve, so too will the practice of Like for Like reporting. Here are key trends to watch and how to adapt.

Increased Transparency and Standardisation

Regulators and market watchers push for greater standardisation of definitions and disclosures related to Like for Like. Expect more guidance on when to adjust comparisons, how to disclose anomalies, and how to present multiple variants of the metric for clarity. Organisations that pre-empt this trend will gain credibility and trust with stakeholders.

Granular, Multi-Channel Like for Like

As retailers become more sophisticated in measuring performance across channels, Like for Like may be reported at a more granular level—per channel, per region, or per format. Integrated data platforms will enable smoother calculations, more timely updates, and deeper insights into how customers move through the journey from online browsing to in-store purchases.

Automation and Real-Time Like for Like

Automation will allow more frequent Like for Like updates, closer to real-time. While this enhances responsiveness, it also heightens the importance of data governance. Organisations will need robust validation rules and anomaly detection to prevent misleading conclusions from provisional data.

Conclusion: Making Like for Like Work for Your Organisation

Like for Like is more than a technical calculation. It is a disciplined approach to assessing ongoing performance, isolating what truly matters from the noise of structural changes. In retail, finance, and beyond, Like for Like supports informed decision-making, credible reporting, and better strategic planning. By defining scope clearly, aligning time periods, ensuring data quality, and communicating transparently, you can harness the full power of Like for Like to tell the real story behind the numbers.

For leaders seeking practical guidance, remember these tenets: keep comparability at the forefront, separate the effects of openings and closures from core performance, disclose methodology with clarity, and complement numerical results with a compelling narrative. With these practices in place, Like for Like becomes not just a metric, but a trusted lens through which to view the health and trajectory of your business.

Like For Like is a versatile tool that, when used properly, sharpens insight, aligns stakeholders, and drives better strategic choices. Master the method, apply it consistently, and you will unlock value through clearer understanding of true performance, year after year.