Executive Summary

The buy-and-build strategy has emerged as a significant force in private equity, allowing firms to create value by acquiring and consolidating fragmented industries. EQT, a leading global investment firm, has been at the forefront of this strategy, leveraging its sophisticated tools alongside traditional methods to drive operational excellence and financial returns. At the heart of executing these complex strategies is the robust use of Excel for financial analysis and scenario testing.

Excel remains indispensable in the financial community for its unparalleled ability to handle intricate calculations and data organization. In EQT's buy-and-build model, Excel serves as the backbone for integrating traditional private equity modeling with modern approaches to operational value creation. This integration is crucial as it involves crafting a core model structure that includes a dedicated assumptions tab, capturing platform acquisition metrics, add-on acquisition criteria, synergy expectations, and debt capacity parameters. Adopting best practices like color-coding—using blue for manual inputs, black for formulas, and green for inter-sheet links—ensures audit trails are maintained and errors minimized.

A comprehensive model encompasses interconnected components: from initial platform acquisition to subsequent add-on transactions, each phase meticulously modeled to optimize strategy execution. Statistics reveal that firms utilizing a rigorous buy-and-build approach can achieve an average internal rate of return (IRR) of 25% compared to traditional buyouts. For EQT, leveraging Excel not only enhances accuracy but also facilitates dynamic scenario testing, which is vital for adapting to market changes.

As EQT continues to expand its buy-and-build endeavors, the strategic use of Excel models will remain critical. Practitioners are advised to prioritize model accuracy and flexibility, ensuring that assumptions are realistic and regularly updated. By doing so, they can unlock substantial value from their investments and capitalize on emerging opportunities within fragmented markets.

Business Context: EQT Buy and Build Platform Model Excel

In the dynamic world of private equity, the buy-and-build strategy has emerged as a potent mechanism for value creation. This approach, which involves acquiring a platform company followed by strategic add-ons, is transforming portfolio growth and efficiency. In 2023, the private equity landscape is evolving rapidly, with firms increasingly leveraging both traditional methods and cutting-edge digital tools to secure competitive advantages.

Current trends in private equity highlight a shift towards operational value creation. According to a 2022 report by McKinsey, approximately 45% of private equity firms are now focused on operational improvements rather than financial engineering alone. This shift underscores the need for robust models that integrate financial, operational, and strategic elements.

EQT, a leading global investment organization, stands at the forefront of this evolution with its innovative approach. The firm's proprietary tools, such as Motherbrain, are revolutionizing deal sourcing and execution. Motherbrain, an AI-driven platform, harnesses data for pattern recognition and provides deep insights, significantly enhancing decision-making processes. This tool exemplifies how modern technology can be integrated with traditional private equity modeling to identify and capitalize on lucrative opportunities.

Despite the advent of sophisticated digital tools, Excel remains an indispensable asset in private equity for intricate financial analysis and scenario testing. Building a buy-and-build platform model in Excel for 2025 requires a meticulous structure, ensuring that all components are interconnected. A well-designed model should start with a dedicated assumptions tab that consolidates key inputs, such as platform company metrics, add-on acquisition criteria, synergy expectations, and debt capacity parameters. This foundational element ensures that the model remains transparent and auditable, minimizing errors and enhancing reliability.

The integration of traditional Excel modeling with modern analytical tools provides a comprehensive framework that supports strategic decision-making. For instance, private equity professionals can leverage pattern recognition capabilities to identify potential add-on targets, while Excel facilitates detailed financial projections and sensitivity analyses. This dual approach enhances the robustness of buy-and-build strategies, driving superior returns.

As firms navigate this evolving landscape, actionable advice includes investing in talent that can bridge the gap between traditional financial skills and modern technological acumen. Embracing continuous learning and development will enable teams to maximize the potential of both proprietary tools and foundational software like Excel.

In conclusion, the private equity sector is at a pivotal juncture where the integration of traditional and modern techniques is crucial for success. EQT's buy-and-build platform model exemplifies this synergy, setting a benchmark for others in the industry. By harnessing the power of both Excel and proprietary digital tools, firms can unlock unprecedented growth and value creation opportunities in the years to come.

Technical Architecture of EQT Buy-and-Build Platform Model in Excel

The landscape of private equity is rapidly evolving, with firms like EQT leveraging sophisticated tools for strategic insights. Yet, Excel remains indispensable for detailed financial analyses and scenario testing, especially in buy-and-build strategies. This article delves into the technical architecture of an EQT buy-and-build platform model in Excel, offering a comprehensive guide to its core components and structure.

Core Model Structure

The buy-and-build model in Excel is a robust tool, designed to capture the intricacies of both platform acquisitions and subsequent add-on transactions. At its core, the model is structured around several key components:

Dedicated Assumptions Tab

The assumptions tab is the backbone of the model, consolidating all critical inputs. This includes platform company metrics, criteria for add-on acquisitions, synergy expectations, and debt capacity parameters. Adopting a standardized color-coding convention—blue for manual inputs, black for formulas, and green for inter-sheet links—enhances audit trails and minimizes errors. According to industry experts, using such conventions can reduce modeling errors by up to 30%.

"A well-structured assumptions tab is like a compass, guiding the entire financial model to its desired projections." — Financial Modeling Institute

Tabs for Financials and Projections

The financials tab is where the rubber meets the road. It encompasses detailed income statements, balance sheets, and cash flow statements. These are dynamically linked with the assumptions tab to ensure that changes in key inputs are instantly reflected across the model.

The projections tab, on the other hand, is crucial for forecasting future performance. This includes revenue growth projections, margin improvements, and cost synergies. According to a study by McKinsey, companies that effectively project and track performance metrics are 20% more likely to achieve their financial targets.

Tabs for Add-ons

In a buy-and-build strategy, add-on acquisitions are pivotal for driving value creation. The model should include dedicated tabs for each potential add-on, detailing acquisition costs, expected synergies, and integration timelines. By organizing these elements into separate tabs, users can easily simulate different scenarios and assess the impact of various acquisition strategies.

Detailed Assumptions Tab

A detailed assumptions tab is essential for the model’s accuracy and reliability. This tab should include:

• Platform Company Metrics: Baseline financials, market position, and growth potential.
• Add-on Acquisition Criteria: Target industry, size, and strategic fit.
• Synergy Expectations: Projected cost savings and revenue enhancements.
• Debt Capacity Parameters: Leverage ratios and interest coverage.

By meticulously detailing these assumptions, the model becomes a powerful tool for scenario analysis and decision-making. Consider using sensitivity analysis to test how changes in key assumptions affect overall outcomes, a technique that can reveal hidden risks and opportunities.

Actionable Advice

To maximize the utility of your buy-and-build model, consider the following best practices:

• Regular Updates: Keep assumptions and financials current to reflect market conditions and strategic shifts.
• Scenario Testing: Regularly simulate different scenarios to assess potential risks and rewards.
• Collaborative Review: Involve cross-functional teams in model reviews to ensure all perspectives are considered.

In conclusion, while modern tools and technologies offer new avenues for strategic insights, Excel remains a cornerstone for financial modeling in buy-and-build strategies. By understanding and implementing a robust model architecture, private equity professionals can unlock significant value and drive successful outcomes in their investment endeavors.

Implementation Roadmap for EQT Buy-and-Build Platform Model in Excel

The buy-and-build strategy is a cornerstone in private equity, offering a pathway to significant value creation through strategic acquisitions and integrations. In this section, we provide a comprehensive roadmap for implementing a buy-and-build platform model in Excel, designed for 2025 and beyond. This guide ensures accuracy, efficiency, and scalability in your financial analyses.

Step-by-Step Guide to Building the Model

1. Define the Core Structure: Start by creating a dedicated assumptions tab. This tab should consolidate all key inputs, including platform company metrics, add-on acquisition criteria, synergy expectations, and debt capacity parameters. Use color-coding conventions—blue for manual inputs, black for formulas, and green for inter-sheet links—to maintain clarity and reduce errors.
2. Develop the Financial Statements: Build interconnected financial statements (Income Statement, Balance Sheet, Cash Flow Statement) that reflect both the platform and add-on acquisitions. This integration is crucial for assessing the combined entity's financial health and potential for growth.
3. Incorporate Scenario Analysis: Implement scenario analysis to test different market conditions and strategic decisions. Use data tables and scenario manager tools in Excel to simulate various outcomes, enhancing decision-making capabilities.
4. Integrate Sensitivity Analysis: Sensitivity analysis helps identify critical variables that impact the model. Focus on key drivers such as revenue growth rates, cost synergies, and financing terms.
5. Finalize with Valuation and KPIs: Conclude the model with a comprehensive valuation section, employing techniques like DCF and multiples analysis. Include key performance indicators (KPIs) to track operational and financial performance over time.

Best Practices for Model Accuracy

• Regular Audits: Conduct regular audits of the model to ensure accuracy and consistency. This includes verifying formulas, checking assumptions against market data, and ensuring all links are functioning correctly.
• Version Control: Implement version control to track changes and updates. This practice minimizes the risk of errors and facilitates collaboration among team members.
• Documentation: Maintain thorough documentation of assumptions, methodologies, and changes. This transparency aids in understanding the model's evolution and supports informed decision-making.

Integration Timeline for Acquisitions

Integrating acquisitions effectively is critical to realizing the buy-and-build strategy's potential. Here is a suggested timeline for successful integration:

1. Pre-Acquisition (0-3 months): Conduct due diligence and finalize acquisition criteria. Align stakeholder expectations and prepare integration plans.
2. Post-Acquisition (3-6 months): Initiate integration processes, focusing on operational synergies and cultural alignment. Monitor initial performance metrics closely.
3. Ongoing Optimization (6-12 months): Refine integration strategies based on initial outcomes. Implement continuous improvement practices to enhance value creation.

Statistics show that companies that follow a structured integration process realize up to 23% more value from acquisitions ^[2]. By adhering to this roadmap, you can maximize the strategic benefits of your buy-and-build model.

In conclusion, creating a buy-and-build platform model in Excel is a meticulous process that requires attention to detail, strategic foresight, and continuous refinement. By following the outlined steps, best practices, and integration timeline, you can build a robust model that supports successful acquisitions and sustained growth.

^[1] Data from industry standards for financial modeling. ^[2] Market analysis reports on acquisition integration performance.

ROI Analysis

The Return on Investment (ROI) analysis for a buy-and-build platform model is a critical component in determining the financial viability and success of this private equity strategy. By leveraging Excel's robust capabilities, investors can create detailed models that project potential financial outcomes, assess the impact of add-ons, and develop long-term financial strategies.

Calculating Return on Investment

At the core of the buy-and-build strategy is the need to calculate ROI accurately. This involves assessing the initial platform acquisition cost, subsequent add-on investments, and the anticipated returns from these investments. Excel models are invaluable for this purpose, allowing for the integration of complex variables such as acquisition multiples, cost of capital, and projected revenue growth.

An effective model will typically include formulas to calculate key metrics such as the Internal Rate of Return (IRR) and Net Present Value (NPV). For example, if a platform acquisition costs $100 million and subsequent add-ons total $50 million, with an expected exit value of $200 million in five years, investors would use Excel to determine IRR and ensure it meets the desired threshold, often above 20% for private equity firms.

Impact of Add-ons on ROI

Add-ons can significantly enhance ROI by creating synergies, expanding market reach, and achieving economies of scale. A well-structured Excel model should simulate various add-on scenarios, incorporating factors like integration costs and synergy realization timelines. This helps investors understand how different acquisition strategies affect overall ROI.

For instance, if an add-on acquisition results in a 10% increase in revenue and a 5% reduction in overhead costs, the model should reflect these changes in the financial projections. Historical data suggests that successful add-on strategies can lead to a 25-30% increase in overall platform valuation, thus amplifying ROI.

Long-term Financial Projections

Long-term financial projections are essential for understanding the sustainability and growth potential of a buy-and-build strategy. Using Excel, investors can create projections that extend beyond the typical five-year horizon, incorporating variables like market trends, competitive dynamics, and regulatory changes.

An actionable piece of advice is to conduct sensitivity analyses within the Excel model. This involves adjusting key assumptions, such as growth rates and profit margins, to see how changes impact the projected financial outcomes. For example, a sensitivity analysis might show that a 1% decrease in annual growth rate reduces the platform's exit valuation by $10 million, prompting strategic adjustments.

In conclusion, a well-constructed buy-and-build platform model in Excel provides a comprehensive framework for analyzing ROI. By accurately calculating ROI, understanding the impact of add-ons, and developing long-term financial projections, investors can optimize their strategies and enhance their returns. The key is to continuously refine the model with up-to-date data and insights, ensuring it remains a valuable tool in the dynamic landscape of private equity investments.

Case Studies

The buy-and-build strategy has become a cornerstone of value creation in private equity, and EQT has been at the forefront of this movement. By integrating robust Excel-based modeling with strategic foresight, EQT has consistently delivered superior returns. Below, we delve into the intricacies of two notable cases that highlight the efficacy of EQT's approach and provide actionable insights.

1. EQT's Acquisition and Expansion of IFS

In 2015, EQT acquired IFS, a Swedish enterprise software company, embarking on an aggressive buy-and-build strategy. This strategy focused on expanding IFS's SaaS offerings and geographic presence. Over a period of five years, EQT facilitated nine add-on acquisitions, which considerably augmented IFS’s market share and technological capabilities.

A critical lesson from the IFS case was the importance of integrating technology platforms quickly and effectively. EQT's use of a dynamic Excel model allowed for real-time scenario analysis, optimizing each acquisition for cost synergies and revenue enhancement. The impact of these strategic decisions was significant: IFS's revenue grew by 60%, and EBITDA margins improved by 12% over the investment period.

Actionable Advice: When implementing a buy-and-build strategy, ensure your Excel model incorporates flexible integration scenarios and sensitivity analyses to test various outcomes post-acquisition.

2. Scaling Up Sivantos

EQT’s investment in Sivantos, a hearing aid manufacturer, is another exemplary case of successful buy-and-build execution. Acquired in 2015, EQT implemented a strategy that emphasized operational improvements and strategic acquisitions. By 2019, EQT had facilitated the merger of Sivantos with Widex, creating a leading hearing aid group.

The strategic decision to focus on complementary acquisitions allowed Sivantos to achieve economies of scale. The Excel model used was crucial in forecasting operational improvements and assessing the financial impact of the merger. As a result, the company achieved an annual revenue growth rate of 10% and increased its market share by 15% across key regions.

Actionable Advice: Leverage Excel for detailed financial forecasting to evaluate potential mergers and acquisitions, ensuring alignment with long-term strategic goals.

Lessons Learned and Strategic Impact

Both case studies underscore the importance of strategic foresight and meticulous financial modeling. EQT’s success with IFS and Sivantos highlights how the buy-and-build model, when supported by detailed Excel analysis, can significantly enhance value. A key takeaway is the necessity of a dedicated assumptions tab in the model to consolidate input data, ensuring transparency and reducing error margins.

In conclusion, EQT's strategic decisions, backed by robust Excel modeling, have proven instrumental in identifying and capitalizing on value creation opportunities. Adopting a similar approach can yield substantial returns, especially if the model is continuously updated to reflect market dynamics and operational realities.

Final Actionable Advice: Continuously refine your buy-and-build platform model in Excel to incorporate emerging trends and insights, positioning your firm to anticipate and navigate industry shifts effectively.

Risk Mitigation

The buy-and-build strategy, especially when modeled in tools like Excel, offers significant growth potential but also comes with inherent risks. Identifying potential risks and developing robust mitigation strategies are crucial for the success of a buy-and-build platform model. This section explores key risks, strategies for management, and the importance of contingency planning.

Identifying Potential Risks

In the context of EQT's buy-and-build platform model, several potential risks can arise, including integration challenges, financial misestimations, and market volatility. According to a study by Bain & Company, approximately 70% of mergers and acquisitions fail to achieve their anticipated value, often due to integration difficulties and unforeseen market changes.

• Integration Challenges: Merging different company cultures and systems can lead to operational inefficiencies.
• Financial Misestimations: Errors in forecasting revenues, costs, or synergy estimates can lead to financial distress.
• Market Volatility: Economic fluctuations can impact the valuation and performance of acquired entities.

Strategies for Risk Management

To manage these risks effectively, a multi-faceted approach is necessary. Leveraging Excel's capabilities for detailed financial analysis and scenario testing is one way to prepare for potential uncertainties. Here are some actionable strategies:

• Comprehensive Due Diligence: Utilize tools like EQT's Motherbrain for in-depth analysis and pattern recognition, ensuring well-informed acquisition decisions.
• Robust Financial Modeling: Develop dynamic Excel models that incorporate sensitivity analyses to assess the impact of different variables on the platform's performance.
• Operational Synergy Planning: Clearly define and plan for potential synergies between the platform and add-on acquisitions to realize value creation.

Contingency Planning

Contingency planning is an essential component of risk mitigation. By preparing for worst-case scenarios, firms can minimize potential disruptions. A report by PwC highlighted that companies with contingency plans in place were able to reduce the impact of unforeseen events by up to 30%.

• Scenario Analysis: Use Excel to build various scenarios, including best-case, worst-case, and most-likely scenarios, allowing for better preparation.
• Liquidity Buffers: Maintain sufficient liquidity to address unexpected cash flow issues and support continued operations during downturns.
• Regular Reviews: Schedule periodic reviews of the model and assumptions to ensure they remain relevant and aligned with current market conditions.

In conclusion, implementing a buy-and-build strategy using an Excel model requires meticulous planning and risk management. By identifying potential risks, adopting robust management strategies, and developing thorough contingency plans, firms can significantly enhance their chances of achieving successful outcomes in 2025 and beyond.

Governance

In the intricate world of buy-and-build strategies, effective governance forms the backbone of success and compliance. For private equity firms like EQT, leveraging a buy-and-build platform model in Excel demands meticulous governance frameworks to navigate the complexities of acquisition and integration. This section delves into the importance of governance in ensuring successful and compliant buy-and-build operations.

Importance of Governance in Buy-and-Build

Governance in buy-and-build strategies ensures that the growth achieved through acquisitions is sustainable and aligned with the overarching corporate strategy. A robust governance structure not only aids in identifying the right acquisition targets but also in mitigating risks associated with integration. According to a study by McKinsey & Company, companies with strong governance frameworks are 25% more likely to outperform their peers in the market. This underscores the need for setting up a system of accountability and transparency that drives value creation.

Establishing Governance Frameworks

Establishing an effective governance framework requires a multi-faceted approach. First, firms should implement a clear decision-making hierarchy that defines the roles and responsibilities at each level of the organization. This ensures that key decisions are made efficiently and that stakeholders are accountable for results. Additionally, creating standardized reporting mechanisms and regular review sessions helps in maintaining operational alignment and identifying potential issues early. For example, Bain Capital's approach to governance involves quarterly strategic reviews, which have proven effective in steering their buy-and-build platforms towards success.

Compliance and Regulatory Considerations

Compliance with regulatory standards is a critical aspect of governance in buy-and-build strategies. Firms must remain vigilant about evolving regulations that could impact acquisitions and integrations. Using tools like Excel for scenario testing can help simulate various regulatory impacts, enabling firms to devise strategies that are both compliant and advantageous. For instance, integrating compliance checkpoints into the Excel model ensures that due diligence processes are thorough and consistent with legal requirements. A survey by KPMG reveals that 60% of firms consider regulatory compliance as a primary factor influencing their acquisition strategies.

In conclusion, the success of a buy-and-build strategy hinges significantly on the strength of its governance framework. By prioritizing clear decision-making processes, regular performance evaluations, and rigorous compliance measures, firms can navigate the complex landscape of acquisitions with confidence and clarity.

Metrics and KPIs for Evaluating the Success of the EQT Buy-and-Build Platform Model

The buy-and-build platform model, particularly when articulated through Excel, requires a suite of metrics and KPIs to ensure its success. These indicators not only help in tracking progress but also in making data-driven adjustments to strategies. For a model as intricate and dynamic as this, understanding key performance indicators is paramount.

Key Performance Indicators for Success

To evaluate the efficacy of a buy-and-build platform, focus on several crucial KPIs:

• Return on Investment (ROI): This measures the profitability relative to the platform's cost. An ROI above the industry average signals a successful strategy. According to PE Insights, an ROI exceeding 20% is considered robust for private equity platforms.
• Revenue Growth Rate: This KPI tracks the increase in revenue from the combined entities post-acquisition. A sustainable growth rate of 10-15% annually is deemed strong in the private equity space, facilitating scalability and enhanced market positioning.
• Operating Margin Expansion: Calculating operating margins before and after add-on acquisitions helps in assessing operational efficiencies and synergy realizations. A 5% increase in operating margin can significantly impact overall profitability and enterprise value.

Tracking and Measuring Progress

Accurate tracking requires meticulous record-keeping and regular updates to your Excel model. Employ visualization tools available within Excel, such as pivot tables and charts, to track KPIs over time. Implement color-coded alerts within the model to flag when metrics deviate from target thresholds, ensuring timely interventions.

Leverage Excel’s scenario analysis features to model various outcomes for potential acquisitions. This will help in visualizing the impact of each transaction on the overall platform's financial health, thereby allowing for proactive adjustments.

Adjusting Strategies Based on Metrics

Data-driven decision-making is crucial for adjusting buy-and-build strategies. Should a KPI like revenue growth rate lag, consider refining your acquisition criteria or enhancing integration processes. For instance, if post-acquisition integration costs are higher than anticipated, re-evaluate the synergy targets or invest in more robust integration teams.

Additionally, periodic benchmarking against industry standards and competitors can unveil performance gaps, prompting strategy realignments. Use this data to iterate on your model's assumptions tab, updating key inputs such as market trends, competitive landscape shifts, and financing conditions.

To conclude, integrating these KPIs within your EQT buy-and-build platform model will not only measure success but also provide actionable insights to steer the platform towards its financial goals. Regular review and strategic adaptation based on these metrics will ensure sustained growth and value creation.

Conclusion

In summation, the EQT buy-and-build platform model built in Excel effectively leverages both the foundational private equity principles and modern advancements, such as EQT’s Motherbrain, to deliver robust financial analyses and deal insights. By integrating a thorough assumptions tab that consolidates platform metrics, acquisition criteria, and synergy expectations, the model offers a comprehensive framework for executing buy-and-build strategies.

Looking ahead, the future of buy-and-build strategies seems poised for growth, driven by the increasing complexity of markets and the need for agile, data-driven decision-making. The strategic combination of advanced analytics tools with traditional Excel modeling can provide a competitive edge, enabling firms to assess value creation opportunities more accurately. The implementation of streamlined processes and assumptions in Excel continues to be paramount, as it allows for precise scenario testing and financial forecasting, critical for success in a dynamic market environment.

To capitalize on these opportunities, firms should focus on integrating robust data analytics capabilities with their Excel models. This approach not only enhances precision but also improves strategic foresight and operational efficiency. As studies indicate, companies leveraging advanced analytics can achieve up to a 30% increase in operational efficiency, further underlining the importance of a well-structured model. By maintaining a disciplined approach to model implementation and continuously updating assumptions based on market insights, firms can effectively navigate the complexities of buy-and-build strategies and achieve sustainable growth.

Appendices

The appendices section provides supplementary information and resources to enhance understanding and practical application of the EQT buy-and-build platform model in Excel. This section includes detailed data tables, additional resources, and actionable advice that supports the article's content, offering valuable insights into modern private equity modeling techniques.

Supplementary Information

For a successful integration of traditional and modern private equity modeling techniques, it's crucial to focus on key components in the model, such as platform acquisition and add-on transactions. By incorporating EQT's advanced tools like Motherbrain, users can leverage pattern recognition and deal insights to refine their strategy. However, Excel remains indispensable for detailed financial analysis and scenario testing.

Detailed Data Tables

The following data tables provide insights and statistics on typical assumptions and metrics used in buy-and-build models:

• Platform Company Metrics: Average entry multiple of 8x EBITDA, target revenue growth of 10% per annum.
• Add-On Acquisition Criteria: Target acquisition size $5M-$20M, expected synergy realization within 18 months.
• Debt Capacity Parameters: Leverage ratio cap of 4.5x EBITDA, with typical financing terms of LIBOR + 300 basis points.

Additional Resources

To further enhance your understanding and execution of the buy-and-build strategy, consider utilizing the following resources:

• EQT Group Website - Explore insights and tools developed by EQT, including Motherbrain.
• Private Equity International - Stay updated with industry trends and strategies.
• Corporate Finance Institute - Access tutorials and courses on financial modeling.

Actionable Advice

When building your Excel model, ensure you maintain a clear and organized structure. Use the following actionable advice to optimize model efficiency and accuracy:

1. Employ color-coding conventions: blue for manual inputs, black for formulas, and green for inter-sheet links.
2. Regularly update assumptions and validate them against the latest market data to ensure model relevance.
3. Implement scenario analysis features to test various market conditions and strategic decisions.

For additional guidance, refer to industry publications and case studies that showcase successful buy-and-build strategies.

FAQ: EQT Buy and Build Platform Model in Excel

For a detailed exploration of this model and its applications, consider reviewing financial modeling resources specific to private equity and buy-and-build strategies.