M&A
    PE
    Technical
    How Interest Rates Drive M&A and LBO Activity

    How Interest Rates Drive M&A and LBO Activity

    22 min read
    Share

    Introduction

    Almost every candidate knows that interest rates and deal activity move in opposite directions. Very few can explain the mechanism. That gap is exactly where interviewers probe, because "rates go up, deals go down" is a headline, not an answer, and anyone who has spent a summer on a coverage or leveraged finance desk can tell the difference within about ten seconds.

    The honest version is more interesting than the headline. Rates do not affect M&A through some vague channel called sentiment. They work through four specific transmission points: the cost of debt caps how much leverage a lender will provide, which caps the price a financial sponsor can pay; the discount rate in a DCF rises, which mechanically lowers intrinsic value; the gap between what buyers can pay and what sellers will accept widens, which stalls live processes; and financing markets themselves open or close, which decides whether a deal that pencils on paper can actually be funded.

    This post walks through each of those channels with real arithmetic, then covers the second-order effects that separate a good answer from a great one: why strategic buyers with cash gain ground when debt is expensive, why sponsor exits and hold periods stretch, how the refinancing wall concentrates pressure into specific years, and why falling rates never produce a rebound in deal volume as quickly as people expect. It closes with a structure for answering the classic interview question: what happens to M&A if rates rise 100 basis points?

    What Rate Moves Change for Each Side of a Deal

    Before the mechanics, it helps to see the whole board at once. Rate moves do not hit every participant the same way, and a strong interview answer names who wins and who loses rather than describing a single directional effect.

    What changesRates risingRates falling
    Sponsor debt capacityContracts sharplyExpands gradually
    Affordable entry multipleFallsRises
    DCF and comps valuesCompressExpand
    Seller price expectationsLag realityReset upward slowly
    Bank underwriting appetiteCautious, heavily flexedAggressive, cheaper
    Strategic buyers with cashRelatively advantagedAdvantage narrows
    Sponsor exitsDelayed, holds lengthenBacklog clears
    Announced deal volumeFalls quicklyRecovers with a lag

    The asymmetry in the last row is the single most useful observation in the table. Deal activity falls fast when rates rise and recovers slowly when they fall, because closing a financing window is instant while reopening one requires sellers, lenders, and boards to all change their minds.

    The Cost of Debt Sets the Price a Sponsor Can Pay

    A leveraged buyout is a pricing exercise built backwards. The sponsor does not start with a value and then find financing. It starts with how much debt the credit markets will supply, adds the equity it is willing to write, and the sum is the maximum it can bid. Change the cost of that debt and you change the bid, even if nothing about the target business has changed at all.

    Lenders size debt off coverage, not optimism

    Credit committees do not lend a multiple of EBITDA because a number feels right. They lend against the company's ability to service the debt, and the binding constraint is almost always an interest coverage test: EBITDA divided by cash interest must clear some minimum, typically somewhere around 2.0x to 2.5x at closing for a standard sponsor deal. Turn that test around and it becomes a formula for maximum debt:

    Maximum Debt=EBITDA÷Minimum CoverageCost of Debt\text{Maximum Debt} = \frac{\text{EBITDA} \div \text{Minimum Coverage}}{\text{Cost of Debt}}

    The critical feature of that expression is that cost of debt sits in the denominator. Debt capacity is not linearly related to rates, it is inversely related to them. That is why a move that sounds small in percentage-point terms translates into a large change in the amount of leverage available, and it is the piece most candidates miss when they say "higher rates make debt more expensive."

    Debt Capacity

    The maximum amount of debt a company can support given its cash flows, typically set by lender tests on interest coverage and total leverage rather than by how much the borrower wants. Because cost of debt sits in the denominator of the coverage calculation, debt capacity falls faster than borrowing costs rise. A deeper walkthrough of the tests and how they are modeled is covered in the guide to debt capacity analysis in an LBO.

    What 100 basis points does to debt capacity

    Take a target with $100 million of EBITDA. Assume lenders require 2.5x interest coverage at close, which caps annual cash interest at $40 million. Now vary only the all-in cost of debt and hold the sponsor's equity check constant at $400 million, which is what a fund with a fixed check size and a fixed number of deals to do would realistically write.

    All-in cost of debtMaximum debtLeverageTotal priceEntry multiple
    7%$571M5.7x$971M9.7x
    8%$500M5.0x$900M9.0x
    9%$444M4.4x$844M8.4x
    10%$400M4.0x$800M8.0x
    11%$364M3.6x$764M7.6x

    Read the middle two rows. Moving the cost of debt from 8% to 9%, a single 100 basis point step, cuts maximum debt from $500 million to $444 million. That is an 11% reduction in leverage from a 12.5% increase in the rate, and it drags the affordable entry multiple down from 9.0x to 8.4x. The sponsor has lost roughly six-tenths of a turn of purchase price without anything happening to the company.

    Widen the range and the effect compounds. Between 7% and 11%, a span the leveraged loan market has genuinely traversed within the last few years, affordable leverage falls from 5.7x to 3.6x and the affordable price falls from $971 million to $764 million. That is a 21% haircut to what the same buyer can pay for the same business.

    Why the entry multiple moves more than the interest bill

    Here is the subtlety worth building an answer around. There are two ways higher rates hurt a sponsor, and they are wildly different in size.

    The first is the direct interest cost. Take the 8% case: $500 million of debt, $400 million of equity, a $900 million purchase price at 9.0x. Assume EBITDA grows to $130 million by year five, the business generates $350 million of cumulative cash before interest over the hold, the tax rate is 25%, and the sponsor exits at the same 9.0x multiple for $1,170 million. Paying interest at 8% costs $200 million over five years, or $150 million after tax, so debt falls to $300 million and exit equity is $870 million. On a $400 million check that is a 2.18x multiple of money and roughly a 16.8% IRR.

    Now raise the coupon to 9% and change nothing else. Interest rises by $5 million a year, so cumulative after-tax interest rises by $18.75 million, ending debt is $318.75 million, and exit equity falls to $851.25 million. The multiple of money slips to 2.13x and the IRR to about 16.3%. The entire direct cost of a 100 basis point move is roughly 50 basis points of IRR.

    The second channel is the one that actually matters. If lenders cut capacity from 5.0x to 4.4x and the sponsor holds its equity check flat, the price it can pay falls from 9.0x to 8.4x. That is not a 50 basis point problem, it is a $56 million reduction in the bid on a $900 million deal, and it is usually the difference between winning and losing the process.

    The corollary is that sponsors do not simply accept the lower multiple. They respond by writing bigger equity checks (which lowers returns), stretching structure with payment-in-kind or seller paper, hunting for targets with stronger free cash flow conversion so they can carry more debt, or walking away. The full mechanics of how these levers interact are laid out in the walkthrough of how an LBO model is built.

    Rate sensitivity questions come up in almost every LBO interview: Work through leveraged buyout mechanics, debt sizing, and returns math with worked answers, start practicing interview questions for free and find out which parts of the structure you can actually defend under follow-up.

    Discount Rates Move DCF Values the Same Way

    The LBO channel explains sponsors. The discount rate channel explains everyone else, because a strategic buyer running a DCF is exposed to rates just as directly, only through the denominator instead of through a credit agreement.

    Building the discount rate from the risk-free rate

    Every discount rate in corporate finance is built on the risk-free rate, which in practice means the yield on a government bond of matching maturity. The cost of equity starts from that rate and adds a risk premium; the cost of debt starts from that rate and adds a credit spread. Both components of WACC therefore inherit any move in the underlying government curve:

    WACC=EV×Re+DV×Rd×(1Tc)WACC = \frac{E}{V} \times R_e + \frac{D}{V} \times R_d \times (1 - T_c)

    Note the two different rates that matter here. Policy rates set by a central bank anchor the short end of the curve and float directly through to the leveraged loan market, where nearly all sponsor debt is priced off a floating benchmark. Long-dated government yields anchor the discount rate used in a DCF. The two do not move in lockstep. Following the June 2026 meeting, the federal funds target range stood at 3.50% to 3.75%, held there at the June 2026 meeting according to the Federal Reserve's published FOMC minutes, while the 10-year Treasury yield traded in the 4.5% to 4.7% area and the 30-year sat above 5%, per the Treasury's daily yield curve data. A candidate who conflates the two will get caught the moment an interviewer asks which rate actually prices a term loan.

    A worked WACC sensitivity

    Take a business generating $100 million of unlevered free cash flow growing at 2.5% in perpetuity. Assume a risk-free rate of 4.5%, a beta of 1.1, an equity risk premium of 5.0%, a pre-tax cost of debt of 6.5%, a 25% tax rate, and a capital structure of 75% equity and 25% debt. Cost of equity is 10.0%, after-tax cost of debt is 4.875%, and WACC works out to roughly 8.7%. Valued on a simple perpetuity:

    Enterprise Value=FCF×(1+g)WACCg\text{Enterprise Value} = \frac{\text{FCF} \times (1+g)}{\text{WACC} - g}

    That gives $1,648 million, call it 16.5x EBIT-equivalent cash flow. Now raise the risk-free rate by 100 basis points and let it pass through to both the cost of equity and the cost of debt. Cost of equity becomes 11.0%, pre-tax cost of debt becomes 7.5%, and WACC rises to about 9.66%. The same cash flows are now worth $1,432 million.

    A 94 basis point increase in WACC produced a 13% decline in value. The reason is the denominator: the spread between WACC and the growth rate went from 6.2% to 7.2%, a 15% widening, and value moves inversely with it. This is why a rate move that sounds modest in the abstract produces double-digit swings in valuation, and why the same arithmetic that governs how WACC is calculated governs whether a board thinks an offer is fair.

    The Bid-Ask Spread Is Where Deals Actually Die

    The two channels above explain what buyers can pay. They say nothing about what sellers will accept, and that is where live processes stall. Sellers do not mark their expectations to the credit market in real time. They anchor on the multiple their competitor received eighteen months ago, on the value in their last fund report, or on the price at which their board approved a rejected offer.

    Sellers anchor on the last cycle's comps

    When the cost of debt moves quickly, the anchoring problem becomes acute. In the arithmetic above, a shift from 7% to 9% cost of debt moves the sponsor's affordable price from $971 million to $844 million. A seller who ran a process at the old level and received an indication near 9.7x now hears 8.4x and concludes the buyer is opportunistic rather than constrained. The buyer is not being cute. Its credit committee simply approved less debt.

    Bid-Ask Spread

    In M&A, the gap between the price a buyer is prepared to pay and the price a seller is prepared to accept. It widens when financing conditions change faster than seller expectations adjust, and it is the most common reason processes are pulled rather than repriced. A wide bid-ask spread depresses completed deal volume even when strategic interest and capital availability remain high.

    Speed matters more than level here. A market that has sat at a 9% cost of debt for two years has fully repriced: sellers know what their business is worth, boards have adjusted, and deals clear. A market that moves from 7% to 9% over six months has a wide bid-ask spread even though the absolute level is not extreme. This is the reason volatility in rates is more damaging to deal volume than a high but stable rate, and it is a genuinely differentiated point to make in an interview.

    The structures that bridge the gap

    When the gap cannot be closed on headline price, dealmakers close it on structure. Earnouts push part of the consideration into the future and make it contingent on performance, letting a seller keep its number on paper. Rollover equity keeps the seller invested alongside the buyer, so both share any recovery in multiples. Seller notes and vendor financing substitute cheap paper from the seller for expensive paper from a lender. Stock consideration converts the argument about absolute value into an argument about relative value.

    Financing Markets Are the Real Gate

    Debt capacity math tells you what a lender should be willing to provide. It does not tell you whether anyone will actually write the commitment letter. In practice, the availability of financing is a separate constraint from its price, and it is the one that closes windows abruptly.

    Underwriting risk and hung deals

    When a bank underwrites an acquisition financing, it commits to fund the full amount at agreed terms and then sells that exposure to investors. The gap between commitment and syndication can be months, and the bank carries the market risk in between. If spreads gap wider before the paper is placed, the bank either sells at a discount and eats the loss or holds the loan on its balance sheet.

    Hung Deal

    An underwritten leveraged financing that a bank cannot syndicate to investors at or near the terms it committed to, leaving the debt stuck on the bank's balance sheet. Hung deals force banks to sell at a discount and take a loss, and a handful of them is usually enough to make every underwriting desk in the market retrench at once.

    This is why bank appetite is reflexive rather than smooth. A few hung deals and the whole underwriting market pulls back at the same time, which is exactly when sponsors most need commitments. Spread levels tell you where that risk sits. As of July 2026, the ICE BofA US High Yield index option-adjusted spread was running around 2.7% to 2.8%, historically tight territory, which you can track in the St. Louis Fed's high yield spread series. Tight spreads mean investors are hungry for paper and underwriting risk feels manageable. Spreads that gap out by a few hundred basis points in a quarter mean commitments get repriced or pulled.

    Commitment papers deal with this risk through market flex provisions, which let the arranger raise pricing, shift tranches, or tighten terms if syndication proves difficult. Flex is the mechanism through which market conditions reach into a signed deal after the fact. In a soft market, sponsors discover their all-in cost is higher than modeled, which quietly reduces returns on deals already announced. Flex is also the reason a signed deal is not a funded deal, and why financing certainty is priced as a real economic good rather than a formality.

    Direct lending as the release valve

    The structural change of the last decade is that banks are no longer the only game. Private credit funds hold the paper themselves and do not need to syndicate, which means they can price certainty rather than market risk. That certainty has a cost: unitranche paper in 2026 has generally cleared in the range of roughly 500 to 650 basis points over the floating benchmark, tightening toward the low end for large, high-quality credits, against something closer to 300 to 350 basis points for broadly syndicated institutional loans, so a sponsor pays a premium of well over a hundred basis points for speed and execution certainty.

    The trade-off shifts with conditions. When syndication markets are open and cheap, sponsors go back to banks. When they slam shut, direct lenders take share and deals that would otherwise have died get done at a higher coupon. That is why the arrival of a large private credit and direct lending market has genuinely dampened the amplitude of the rate cycle in deal activity: it did not remove the price effect, but it removed a lot of the on-off character of financing availability.

    Prefer to study the financing chapters offline? Download the comprehensive 160-page PDF, covering LBO mechanics, capital structure, and the technical questions built on top of them.

    Why Strategic Buyers Gain Ground When Debt Is Expensive

    Corporate acquirers are not immune to rates, but they are less exposed than sponsors in three specific ways, and the differences are worth stating precisely rather than waving at.

    First, a strategic buyer funding an acquisition from cash on hand faces an opportunity cost, not a coupon. Higher rates raise the return on that idle cash, which does raise the hurdle, but the effect is far smaller than losing a turn and a half of leverage. Second, an investment grade corporate can issue in the bond market at a spread that barely moves in a stress episode, while the leveraged loan market it competes against reprices violently. Third, strategics can pay for synergies. A sponsor underwrites the business as it exists; an acquirer that will strip $50 million of duplicate cost can justify a price a financial buyer cannot reach on standalone cash flows.

    The observable result is that the mix of buyers shifts with the rate cycle. Expensive debt tilts league tables toward corporate acquirers and toward all-stock or cash-and-stock deals. Cheap debt brings sponsors back and pushes the sponsor share of total volume higher, which is one of the dynamics behind the current wave of M&A activity.

    Exits, Hold Periods and Sponsor-to-Sponsor Deals

    The rate channel does not stop at new acquisitions. It runs straight through the private equity ownership cycle, and this is where the effects persist for years after rates themselves have moved.

    Why exits freeze before new deals do

    A sponsor that cannot get the price it underwrote does not sell. It waits. Fund accounting makes this rational: an unsold asset carries at a mark, while a sale at a disappointing price crystallizes a bad outcome in the track record just as the firm is raising its next fund. So exits stall first, and because one sponsor's exit is often another sponsor's entry, the freeze propagates.

    The accumulated evidence is striking. Bain's 2026 global private equity work put the backlog at roughly 32,000 unsold portfolio companies worth about $3.8 trillion, with average holding periods at exit stretching to around seven years against five to six years through the 2010 to 2021 period. Nearly 40% of buyout-owned companies have now been held more than five years, up from 29% in 2019. That backlog is a direct legacy of a period when the cost of debt made buyers' bids and sellers' marks irreconcilable.

    Longer holds compound the damage. Fund returns are time-weighted, so an extra two years at the same multiple of money is a materially worse IRR, and distributions back to limited partners slow, which makes those investors slower to commit to new funds. The choice between selling to another sponsor and selling to a corporate becomes a live strategic question rather than a routine one, and the trade-offs in a secondary buyout versus a strategic exit sharpen considerably when financing conditions favor one buyer type over the other.

    The maturity wall concentrates the pressure

    The second reason rates keep mattering long after they move is that debt does not reprice evenly. It reprices at maturity. A company that locked a term loan in a cheap year keeps paying that coupon until the loan comes due, at which point it refinances at whatever the market offers.

    Maturity Wall

    A year or short span of years in which an unusually large volume of outstanding debt comes due at once, forcing a concentrated wave of refinancing. Maturity walls form when heavy issuance in a single vintage carries a standard tenor, so a boom in five to seven year loans reappears as a refinancing cliff half a decade later.

    The current profile is a good illustration. Relatively little institutional leveraged loan paper matures in 2026 and 2027, but roughly 34% of US and 40% of EMEA leveraged loans come due across 2028 and 2029, and the wall is concentrated in lower-rated credits: issuers rated B- or below account for roughly 68% of 2028 and 60% of 2029 US loan maturities, with the EMEA equivalents around 60% and 50%. Refinancing costs have improved, with the average yield to maturity on syndicated institutional refinancings running near 6.7% in 2026 against 7.4% in 2025 and 8.6% in 2024, but still sitting well above the 2011 to 2022 norm.

    For deal activity, maturity walls cut both ways. They generate a large captive volume of refinancing and amend-and-extend work for leveraged finance teams. They also force decisions: a sponsor facing a 2028 maturity on an asset it has owned since 2021 must either refinance at a worse coupon, sell, or hand the keys to lenders. That deadline pressure is one of the reliable catalysts that eventually breaks a stalled M&A market.

    Why Falling Rates Do Not Produce Deals Immediately

    The most common mistake in an interview answer is symmetry: assuming that if rising rates kill deals, falling rates revive them at the same speed. They do not, and explaining why is one of the most reliable ways to sound like someone who has watched a market rather than read about one.

    The lag between a rate move and an announcement

    An announced deal is the visible end of a process that started months earlier. Boards approve a strategic review, banks are hired, diligence runs, financing is arranged, and price is negotiated. From the moment a management team decides conditions are acceptable to the day a press release goes out is commonly six to twelve months. Announced volume today reflects decisions made in a different rate environment.

    What has to reopen before volume returns

    Several things have to happen in sequence, and each takes time. Credit spreads have to compress so that lenders will commit. A few large deals have to syndicate successfully to prove the market is functional and give underwriting desks confidence. Sellers' expectations have to reset upward, which happens only after they see comparable transactions clear at higher multiples. And sponsors have to work through the backlog of assets they should already have sold before they can commit fresh capital at scale.

    There is also an anticipation problem. If buyers believe financing will be cheaper in six months, waiting is rational, and the expectation of falling rates can itself delay deals. That is precisely the opposite of the intuitive relationship, and it is the kind of nuance that turns a competent answer into a memorable one.

    How to Answer "What Happens to M&A if Rates Rise 100 Basis Points"

    This question, or a close variant, appears constantly in both banking and private equity interviews. It is a mechanism test, not a forecasting test, and the interviewer wants to hear a chain of causation with numbers attached.

    The four-beat structure

    Structure the answer in four beats. Start with the LBO channel and quantify it: higher borrowing costs cut debt capacity more than proportionally, so on a $100 million EBITDA business with a 2.5x coverage test, a move from 8% to 9% cuts leverage from 5.0x to 4.4x and takes roughly six-tenths of a turn off the price a sponsor can pay. Second, add the valuation channel: discount rates rise for every buyer, and a roughly 100 basis point move in the risk-free rate can take low double digits off a DCF value depending on how much of the value sits in the terminal year. Third, describe the market consequence: seller expectations lag, the bid-ask spread widens, processes stall or get restructured with earnouts and rollover, and volume falls faster than prices do. Fourth, add the nuance: strategics with cash gain share, direct lenders take share from syndication desks, exits are delayed and hold periods extend, and refinancing volume in leveraged finance rises even as new-issue M&A financing falls.

    The follow-ups to prepare for

    Expect follow-ups. Which sectors are most exposed? Highly leveraged, capital-intensive, and long-duration growth businesses. What happens to the LBO you already own? Floating-rate debt reprices immediately, so interest coverage tightens and covenant headroom shrinks, which is a very different problem from purchase price. Which advisory businesses benefit? Restructuring, liability management, and refinancing work all pick up, which is why banks with strong leveraged finance and restructuring franchises are more balanced across the cycle.

    Key Takeaways

    • Debt capacity is inversely related to the cost of debt, so a 100 basis point move cuts leverage by more an absolute move that sounds small produces a large percentage change in leverage: 100 basis points takes capacity from 5.0x to 4.4x, an 11% cut, in the worked example.
    • The purchasing power effect dwarfs the interest cost effect. A 100 basis point rise costs roughly 50 basis points of IRR on a deal you already own but around six-tenths of a turn of entry multiple on one you are trying to buy.
    • Discount rates transmit the same shock to strategic buyers. A 94 basis point rise in WACC took 13% off value in the perpetuity example above.
    • Speed matters more than level. Sellers reprice slowly, so a fast move widens the bid-ask spread and stalls processes even when the absolute rate is unremarkable.
    • Financing availability is a separate gate from financing cost. Underwriting appetite, syndication risk, and the direct lending alternative decide whether a deal that models can actually be funded.
    • Falling rates revive activity with a long lag, because processes take six to twelve months and sellers, lenders, and boards all have to change their minds first.

    Conclusion

    Interest rates matter to dealmaking because they set the price of the single input that makes most transactions possible: borrowed money. That price flows into debt capacity through lender coverage tests, into valuation through discount rates, into negotiation through the gap between what buyers can fund and what sellers will accept, and into execution through whether financing markets are actually open. Each of those channels can be quantified, and the whole point of an interview question about rates is to see whether you can quantify them.

    The rate environment itself is a moving target. Following the June 2026 meeting, the federal funds target range stood at 3.50% to 3.75% after the June meeting, long Treasury yields sat well above policy rates, and high yield spreads were historically tight. Those levels will change, and no candidate is expected to forecast them. What does not change is the mechanism. Learn the arithmetic of coverage-driven debt capacity, the sensitivity of a perpetuity to its discount rate, and the reasons deal volume falls quickly and recovers slowly, and you will be able to answer a rates question in any market you happen to interview in.

    Frequently Asked Questions

    Explore More

    How to Value a Bank: FIG Valuation Explained

    How to value a bank when EV/EBITDA breaks down: master P/TBV, ROE, the justified P/B formula, and the dividend discount model for FIG interviews.

    July 20, 2026

    Buybacks vs Dividends: How Companies Return Cash

    Buybacks vs dividends explained: how each returns cash to shareholders, the tax and signaling differences, the EPS effect, and when each makes sense.

    June 25, 2026

    Why Are Investment Banking Bonuses So High?

    Why investment banking bonuses are so high: the revenue-per-head economics, the compensation ratio, why pay is bonus-heavy and cyclical, and the real catch.

    May 27, 2026

    Ready to Transform Your Interview Prep?

    Join 3,000+ students preparing smarter

    Join 3,000+ students who have downloaded this resource