Interest Rates and M&A: How Market Dynamics Shift When Rates Rise or Fall

 Emanuele BAROLI

In this article, Emanuele BAROLI (MiF 2025–2027, ESSEC Business School) examines how shifts in interest rates shape the M&A market, outlining how deal structures differ when central banks raise versus cut rates.

Context and objective

The purpose is to explain what interest rates are, how they interact with inflation and liquidity, and how these variables shape merger and acquisition (M&A) activity. The intended outcome is an operational lens you can use to read the current monetary cycle and translate it into cost of capital, valuation, financing structure, and execution windows for deals, distinguishing—when useful—between corporate acquirers and private-equity sponsors.

What are interest rates

Interest rates are the intertemporal price of funds. In economic terms they remunerate the deferral of consumption, insure against expected inflation, and compensate for risk. For real decisions the relevant object is the real rate because it governs the trade-off between investing or consuming today versus tomorrow.

Central banks anchor the very short end through the policy rate and the management of system liquidity (reserve remuneration, market operations, balance-sheet policies). Markets then map those signals into the entire yield curve via expectations about future policy settings and required term premia. When liquidity is ample and cheap, risk-free yields and credit spreads tend to compress; when liquidity becomes scarcer or dearer, yields and spreads widen even without a headline change in the policy rate. This transmission, with its usual lags, is the bridge from monetary conditions to firms’ investment choices.

M&A industry — a definition

The M&A industry comprises mergers and acquisitions undertaken by strategic (corporate) acquirers and by financial sponsors. Activity is the joint outcome of several blocks: the cost and elasticity of capital (both debt and equity), expectations about sectoral cash flows, absolute and relative valuations for public and private assets, regulatory and antitrust constraints, and the degree of managerial confidence. Interest rates sit at the center because they enter the denominator of valuation models—through the discount rate—and they shape bankability constraints through the debt service burden. In other words, rates influence both the price a buyer can rationally pay and the feasibility of financing that price.

Use of leverage

Leverage translates a given cash-flow profile into equity returns. In leveraged acquisitions—especially LBOs—the all-in cost of debt is set by a market benchmark (in practice, Term SOFR at three or six months in the U.S., and Euribor in the euro area) plus a spread reflecting credit risk, liquidity, seniority, and the supply–demand balance across channels such as term loans, high-yield bonds, and private credit. That all-in cost determines sustainable leverage, shapes covenant design, and fixes the headroom on metrics like interest coverage and net leverage. It ultimately caps the bid a sponsor can submit while still meeting target returns. Corporate acquirers usually employ more modest leverage, yet remain rate-sensitive because medium-to-long risk-free yields and investment-grade spreads feed both fixed-rate borrowing costs and the WACC used in DCF and accretion tests, and they influence the value of stock consideration in mixed or stock-for-stock deals.

How interest rates impact the M&A industry

The connection from rates to M&A operates through three main channels. The first is valuation: holding cash flows constant, a higher risk-free rate or higher term premia lifts discount rates, lowers present values, and compresses multiples, thereby narrowing the economic room to pay a control premium. The second is bankability: higher benchmarks and wider spreads raise coupons and interest expense, reduce sustainable leverage, and shrink the set of financeable deals—most visibly for sponsors whose equity returns depend on the spread between debt cost and EBITDA growth. The third is market access: heightened rate volatility and tighter liquidity reduce underwriting depth and risk appetite in loans and bonds, delaying signings or closings; the mirror image under easing—lower rates, stable curves, and tighter spreads—reopens windows, enabling new-money term funding and refinancing of maturities. The net effect is a function of level, slope, and volatility of the curve: lower and calmer curves with steady spreads tend to support volumes; high or unstable curves, even with unchanged spreads, enforce selectivity.

Evidence from 2021–2024 and what the chart shows

M&A deals and interest rates (2021-2024).
M&A deals and interest rates (2021-2024)
Source: Fed.

The global pattern over 2021–2024 is consistent with this mechanism. In 2021, deal counts reached a cyclical peak in an environment of near-zero short-term rates, abundant liquidity, and elevated equity valuations; frictions on the cost of capital were minimal and access to debt markets was easy, so the economic threshold for completing transactions was lower. Between 2022 and 2024, monetary tightening lifted short-term benchmarks rapidly while spreads and uncertainty rose; global deal counts fell materially and the market became more selective, favoring higher-quality assets, resilient sectors, and transactions with stronger industrial logic. Over this period, global deal counts were 58,308 in 2021, 50,763 in 2022, 39,603 in 2023, and 36,067 in 2024, while U.S. short-term rates moved from roughly 0.14% to above 5%; the chart shows an inverse co-movement between the cost of money and activity. Correlation is not causation—antitrust enforcement, energy shocks, equity multiple swings, and the rise of private credit also mattered—but the macro signal aligns with monetary transmission.

What does academic research say

Academic research broadly confirms the mechanism sketched above: when policy rates rise and financing conditions tighten, both the volume and composition of M&A activity change. Using U.S. data, Adra, Barbopoulos, and Saunders (2020) show that increases in the federal funds rate raise expected financing costs, are followed by more negative acquirer announcement returns, and significantly increase the probability that deals are withdrawn, especially when monetary policy uncertainty is high. Fischer and Horn (2023) and Horn (2021) exploit high-frequency monetary-policy shocks and find that a contractionary shock leads to a persistent fall in aggregate deal numbers and values—on the order of 20–30%—with the effect concentrated among financially constrained bidders; at the same time, the average quality of completed deals improves because weaker acquirers are screened out. Work on leveraged buyouts links this to credit conditions: Axelson et al. (2013) document that cheap and abundant credit is associated with higher leverage and higher buyout prices relative to comparable public firms, while theoretical models such as Nicodano (2023) show how optimal LBO leverage and default risk respond systematically to the level of risk-free rates and credit spreads.

Related posts on the SimTrade blog

   ▶ Bijal GANDHI Interest Rates

   ▶ Nithisha CHALLA Relation between gold price and interest rate

   ▶ Roberto RESTELLI My internship at Valori Asset Management

Useful resources

Academic articles

Adra, S., Barbopoulos, L., & Saunders, A. (2020). The impact of monetary policy on M&A outcomes. Journal of Corporate Finance, 62, 1-61.

Fischer, J. and Horn, C.-W. (2023), Monetary Policy and Mergers and Acquisitions, Working paper Available at SSRN

Horn, C.-W. (2021) Does Monetary Policy Affect Mergers and Acquisitions? Working paper.

Axelson, U., Jenkinson, T., Strömberg, P., & Weisbach, M. S. (2013) Borrow Cheap, Buy High? The Determinants of Leverage and Pricing in Buyouts, The Journal of Finance, 68(6), 2223-2267.

Financial data

Federal Reserve Bank of New York Effective Federal Funds Rate (EFFR): methodology and data

Federal Reserve Bank of St. Louis Effective Federal Funds Rate (FEDFUNDS)

OECD Data Long-term interest rates

About the author

The article was written in November 2025 by Emanuele BAROLI (ESSEC Business School, Master in Finance (MiF), 2025–2027).

   ▶ Read all articles by Emanuele BAROLI.

Drafting an Effective Sell-Side Information Memorandum: Insights from a Sell-Side Investment Banking Experience

 Emanuele BAROLI

In this article, Emanuele BAROLI (ESSEC Business School, Master in Finance (MiF), 2025–2027) explains how to draft an M&A Information Memorandum, translating sell-side investment-banking practice into a clear, evidence-based guide that buyers can use to progress from interest to a defensible bid.

What is an Info Memo

An information memorandum is a confidential, evidence-based sales document used in M&A processes to enable credible offers while safeguarding the sell-side process. It sets out what is being sold, why it is attractive, and how the deal is framed, and it is structured—consistently and without redundancy—around the following chapters: Executive Summary, Key Investment Highlights, Market Overview, Business Overview, Historical Financial Performance and Current-Year Budget, Business Plan, and Appendix. Each section builds on the previous one so that every claim in the narrative is traceable to data, definitions, and documents referenced in the appendix and the data room.

Executive summary

The executive summary is the gateway to the memorandum and must allow a prospective acquirer to grasp, within a few pages, what is being sold, why the asset is attractive, and how the transaction is framed. It should state the perimeter of the deal, the nature of the stake or assets included, and the essence of the equity story in language that is direct, verifiable, and consistent with the evidence presented later. The narrative should situate the company in its market, outline the recent trajectory of scale, profitability, and cash generation, and articulate—in plain terms—the reasons an informed buyer might assign strategic or financial value. Nothing here should rely on empty superlatives; every claim in the summary must be traceable to supporting material in subsequent sections and to documents made available in the data room. Clarity and internal consistency matter more than flourish: the reader should finish this section knowing what the asset is, why it matters, and what next steps the process anticipates.

Key investment highlights

This section filters the equity story into a small number of decisive arguments, each of which combines a clear assertion, hard evidence, and an explicit investor implication. The prose should explain, not advertise sustainable growth drivers, defensible competitive positioning, quality and predictability of revenue, conversion of earnings into cash, discipline in capital allocation, credible management execution, and identifiable avenues for organic expansion or bolt-on M&A. Each highlight should read as a self-contained reasoning chain—statement, proof, consequence—so that a buyer can connect operational facts to valuation logic.

Market overview

The market overview demonstrates that the asset operates within an addressable space that is sizeable, healthy, and legible. Begin by defining the market perimeter with precision so that later revenue segmentations align with it. Describe the current size and structure of demand, the expected growth over a three-to-five-year horizon, and the drivers that sustain or threaten that growth—technological shifts, regulatory trends, customer procurement cycles, and macro sensitivities. Map the competitive landscape in terms of concentration, barriers to entry, switching costs, and price dynamics across channels. Distinguish between the immediate market in which the company competes and the broader industry environment at national or international level, explaining how each influences pricing power, customer acquisition, and margin stability. All figures and characterizations should be sourced to independent references, allowing the reader to verify both methodology and magnitude.

Business overview

The business overview explains plainly how the company creates value. It should describe what is sold, to whom, and through which operating model, covering products and services, relevant intellectual property or certifications, customer segments and geographies served, and the logic of revenue generation and pricing. The text should make the differentiation intelligible—quality, reliability, speed, functionality, service levels, or total cost of ownership—and then connect that differentiation to commercial traction. Operations deserve a concise, concrete treatment: footprint, capacity and utilization, supply-chain architecture, service levels, and, where material, the technology stack and data security posture. The section should close with the people who actually run the company and are expected to remain post-closing, outlining roles, governance, and incentive alignment. The aim is not to impress with jargon but to let an investor see a coherent engine that turns inputs into outcomes.

Historical financial performance and budget

This chapter turns performance into an intelligible narrative. Present the historical income statement, balance sheet, and cash flow over a three-to-five-year window—preferably audited—and reconcile management accounts with statutory figures so that definitions, policies, and adjustments are transparent. Replace tables-for-tables’ sake with analysis: show where growth and margins come from by decomposing revenue into volume, price, and mix; explain EBITDA dynamics through efficiency, pricing, and non-recurring items; separate maintenance from growth capex; and trace how earnings convert into cash by discussing working-capital movements and seasonality. In a live process, the current-year budget should set out the explicit operating assumptions behind it, the key milestones and risks, and a brief intra-year read so a buyer can compare budget to year-to-date performance. If carve-outs, acquisitions, or other discontinuities exist, present clean pro forma views so the time series remains comparable.

Business plan

The business plan translates the equity story into forward-looking numbers and commitments that can withstand diligence. Build the plan from drivers rather than percentages: revenue as a function of volumes, pricing, mix, and retention; costs split between fixed and variable components with operational leverage and efficiency initiatives laid out; capital needs expressed through capex, working-capital discipline, and any anticipated financing structure. Provide a three-to-five-year view of P&L, cash flow, and balance-sheet implications, making explicit the capacity constraints, hiring requirements, and lead times that link initiatives to outcomes. A sound plan includes a base case and either sensitivities or alternative scenarios, together with risk mitigations that are actually within management control. If bolt-on M&A features in the strategy, describe the screening criteria, integration capability, and the nature of the synergies in a way that distinguishes aspiration from execution.

Appendix

The appendix holds detail without overloading the core narrative and preserves auditability. It should contain the full legal disclaimer and confidentiality terms, a glossary of definitions and KPIs to eliminate ambiguity, detailed financial schedules and reconciliation notes, methodological summaries and citations for market data, concise contractual information for key customers and suppliers where material, operational and ESG indicators that genuinely affect value, and a process note with timeline, bid instructions, Q&A protocols, and site-visit guidance. The organizing principle is traceability: any figure or claim in the memorandum should be traceable to a line item or document referenced here and made available in the data room.

Why should you be interested in this post?

For students interested in corporate finance and M&A, this post shows how to translate sell-side practice into a rigorous structure that investors can actually diligence—an essential skill for internships and analyst roles.

Related posts on the SimTrade blog

   ▶ Roberto RESTELLI BCapital Fund at Bocconi: building a student-run investment fund

   ▶ Louis DETALLE A quick presentation of the M&A field…

   ▶ Ian DI MUZIO My Internship Experience at ISTA Italia as an In-House M&A Intern

Useful resources

Corporate Finance Institute – (CFI) Confidential Information Memorandum (CIM)

DealRoom How to Write an M&A Information Memorandum

About the author

The article was written in December 2025 by Emanuele BAROLI (ESSEC Business School, Master in Finance (MiF), 2025–2027).

   ▶ Read all articles by Emanuele BAROLI.

Valuing Aerospace & Defence: multiples—read through the backlog and the contract

 Emanuele BAROLI

In this article, Emanuele BAROLI (ESSEC Business School, Master in Finance (MiF), 2025–2027) explains how to value Aerospace & Defence (A&D) companies by combining the right multiples with a clear view of backlog quality and contract risk. The aim is a practical lens you can apply to comps (comparables), models, and deal work.

What “Aerospace & Defence” is (and how public companies are usually organized)

A&D is the cluster of businesses that design, certify, manufacture and support aircraft and spacecraft, military platforms and mission systems, plus the electronics, software and services that make them work in the field. Public companies tend to report along economically distinct pillars—platforms, defence electronics/sensors, space, and services—with some firms also disclosing a cyber arm. This segmentation matters because revenue recognition (delivery vs over-time), margin stability and cash conversion differ meaningfully across these buckets.

Two concrete blueprints help set the map. Boeing organizes reporting into Commercial Airplanes (BCA), Defense, Space & Security (BDS) and Global Services (BGS). Its notes clarify that most BCA revenue is recognized at the point of aircraft delivery, whereas a substantial portion of BDS and some BGS contracts are long-term and recognized over time.

Leonardo discloses six sectors—Helicopters, Defence Electronics & Security, Cyber & Security Solutions, Aircraft, Aerostructures and Space—and reports orders, backlog, revenues and EBITA by sector, a structure that lends itself naturally to “sum-of-the-parts (SOTP)” and mix analysis.

The multiples: why EV/EBIT is the workhorse in A&D

In A&D, EV/EBIT typically describes the economics better than EV/EBITDA (Enterprise Value / Earnings Before Interest, Taxes, Depreciation and Amortization). The reason is accounting, not fashion. Under IFRS (International Financial Reporting Standards), development costs that meet recognition criteria are often capitalized and then amortized, (qualifying development expenditure is recognised as an intangible asset and is therefore amortised rather than depreciated: depreciation is reserved for tangible property, plant and equipment, whereas amortisation is the systematic allocation of the cost of intangibles (such as capitalised development) over their useful lives). While under US GAAP (United States Generally Accepted Accounting Principles), development is more frequently expensed. Amortization is an economic cost of prior engineering and industrialization. EBITDA ignores it; EBIT does not. Comparing peers with different R&D capitalization policies on EV/EBITDA makes heavy capitalizers look artificially “cheap.”

Example:

In the 2024 financial year, Leonardo reports revenues of €17,763 million, EBITDA of €2,219 million and EBIT of €1,271 million. In management terms, EBITDA is obtained by adding back depreciation and amortisation to EBIT, which implies depreciation and amortisation of about €948 million (2,219 − 1,271). In formula form, EBITDA = EBIT + Depreciation + Amortisation = 1,271 + 948 ≈ 2,219. All figures are in millions of euros, with minor differences due to rounding. EBIT already includes the economic cost of depreciation and amortisation (including, for example, the amortisation of capitalised development costs), while EBITDA adds it back and therefore does not “see” this cost, which is why EV/EBIT often provides a more meaningful economic comparison than EV/EBITDA when analysing A&D companies like Leonardo.

A pocket example makes the point. Suppose revenue is 1,000 and cash operating costs are 800: EBITDA equals 200. Add 40 of industrial D&A and 100 of amortized, capitalized R&D: EBIT is 60. An 8× EV/EBITDA screen implies EV of 1,600; a 12× EV/EBIT anchor implies 720. The optics diverge because EBITDA suppresses an economically meaningful charge. In practice, anchor on EV/EBIT; if you must use EBITDA for market convention, normalize it by re-expensing capitalized R&D or by separating “maintenance-like” D&A from program amortization.

Always cross-check with EV/FCF (or FCF yield). In long-cycle industries, the acid test is whether booked economics pass through working capital and reach free cash once advances unwind, inventories build for rate ramps, milestones slip and remediation spending intrudes. EV/FCF disciplines any narrative derived from headline EBIT.

Backlog: quantity is the headline; quality drives value

Backlog is tomorrow’s revenue promise—but investors price what kind of promise it is. Start from a clean definition. Boeing defines total backlog as unsatisfied or partially satisfied performance obligations for which collection is probable and no customer-controlled contingencies remain; it excludes options, announced deals without definitive contracts, orders customers can unilaterally terminate, and unfunded government amounts.

Scale and coverage provide context, not answers. At 31 December 2024, Boeing reported $521.3bn of total backlog, comprising $498.8bn contractual and $22.5bn unobligated, while cautioning that delivery delays, production disruptions or “entry-into-service (EIS)” slippage can reduce backlog.

Leonardo closed 2024 with book-to-bill of ~1.2×, backlog above €44bn and roughly 2.5 years of production coverage—solid starting points if the mix is funded and executable.

Quality is the determinant. Judge the funded share (appropriated vs contingent), the margin mix by program, concentration by customer or platform, and—critically—executability against industrial capacity, certification gates and supplier health. A smaller, well-funded, high-margin and diversified backlog with credible executability justifies stronger multiples than a larger book that is lightly funded, concentrated or operationally brittle.

Revenue and Backlog diversification.
Revenue and Backlog diversification chart
Source: Leonardo S.p.A. — FY 2024 Preliminary Results Presentation (PDF).

The chart shows the percentage distribution of Leonardo’s backlog in relation to its product portfolio, highlighting the weight of the various business lines and geographical areas.

Leonardo DRS Backlog.
Leonardo DRS Backlog
Source: Leonardo DRS — Q3 2024 results article (StockStory).

Over time, the chart shows new orders increasingly outpacing those delivered: after an initial phase of balance (stable backlog), from late 2022 incoming orders rise and expand the order book. The jump between Q3 and Q4 2023 points to one or more major contracts, while in 2024 the order flow remains strong enough to keep the backlog at high levels.

Contract risk: the paper your revenue sits on

Two nominally similar contracts can encode very different economics. Firm-fixed-price development places cost risk squarely on the contractor; technical uncertainty and learning-curve effects can generate catch-up losses and re-time cash. Cost-type contracts reimburse allowable costs plus a fee, limiting downside but capping upside and typically improving visibility. Milestone/performance-based structures align incentives but increase timing volatility. IDIQ/framework arrangements set a ceiling but do not become firm until orders are called.

For valuation, portfolio contract mix is a prior on both the dispersion of outcomes and the discount you apply: heavy fixed-price development warrants more conservative multiples and scenario ranges; cost-type and service-heavy portfolios support tighter distributions of cash outcomes.

Execution and supply chain: where backlog becomes (or does not become) cash

A&D manufacturing is materials- and certification-intensive. Boeing highlights reliance on aluminium, titanium and composites, and the prevalence of sole-source components whose qualification can take a year or more; failure of suppliers to meet standards or schedules can affect quality, deliveries and program profitability.

Airworthiness oversight also constrains timing: in 2024 the FAA communicated it would not approve 737 production-rate increases beyond 38/month or additional lines until quality and safety standards are met.

In models, these realities alter revenue phasing, inventory (often rising when rates slip), the sustainability of customer advances, and, where remediation is required, the cadence of capex and engineering spend. The practical consequence is straightforward: multiples are a consequence of cash reliability. EV/EBIT (or normalized EBITDA) captures the economic load; backlog quality and contract mix explain whether those economics are repeatable; factory and supply chain determine the when of revenue and free cash.

Typical business mix—why it matters for valuation

Commercial platforms (e.g., BCA) recognize revenue largely at delivery, with program accounting and rate decisions driving cash swings; 2024 disclosures explicitly tie BCA results to deliveries, rate disruptions and quality actions.

Defence and space portfolios (e.g., BDS; Leonardo Defence Electronics & Space) contain more over-time revenue and often greater visibility when cost-type work dominates, yet fixed-price development can be painful, as the program notes above illustrate.

Services/MRO and training (e.g., BGS; Leonardo’s cyber and service activities) usually provide steadier margins and higher cash conversion, acting as stabilizers in a SOTP.

A compact playbook you can actually use

Start with EV/EBIT—or, if you must use EBITDA, normalize for capitalized development. Then check EV/FCF to interrogate cash conversion through advances, inventory and milestone timing.

Qualify the order book before you underwrite it: insist on firm definitions (exclude options and unilateral cancellations), isolate the funded share, examine program-level margins and concentration, and test executability against rate plans, certification gates and supplier health. Boeing’s split between contractual ($498.8bn) and unobligated ($22.5bn) backlog is a clean template; Leonardo’s book-to-bill (~1.2×) and ~2.5-year coverage are strong if the mix converts.

Read the contract. Fixed-price development deserves a discount for volatility; cost-type merits a premium for visibility; IDIQ ceilings are not orders until called. Boeing’s fixed-price development programs provide a cautionary case. Underwrite execution with a materials and supplier map (Al/Ti/composites; sole-source exposure) and with regulatory gates (FAA/EASA) that can cap rates irrespective of demand.

Why should I be interested in this post?

As an ESSEC finance student focused on valuation and transactions, you will frequently compare A&D peers and screen targets. This guide helps you avoid EBITDA traps, read backlog quality, and translate contract structures into realistic cash and multiple assumptions that travel well into comps, equity research, and M&A models.

Related posts on the SimTrade blog

   ▶ Nithisha CHALLA Top 5 companies in the defense sector

   ▶ Snehasish CHINARA Apprenticeship experience as Customer Finance & Credit Risk Analyst at Airbus

   ▶ Andrea ALOSCARI Valuation methods

Useful resources

The Boeing Company — Official website

Leonardo S.p.A. — Official website

Leonardo DRS — Q3 2024 results article (StockStory)

Leonardo S.p.A. — FY 2024 Preliminary Results Presentation (PDF)

Leonardo S.p.A. — Integrated Annual Report 2024 (PDF)

The Boeing Company — Form 10-K (Year Ended Dec 31, 2024) — EDGAR

About the author

The article was written in November 2025 by Emanuele BAROLI (ESSEC Business School, Master in Finance (MiF), 2025–2027).

   ▶ Read all articles by Emanuele BAROLI.