IRR vs MOIC vs Cash-on-Cash: PE Return Metrics Explained

Introduction

Every private equity associate interview eventually lands on the same question: walk me through the difference between IRR, MOIC, and cash-on-cash. The candidate who can do it cleanly, including the trade-off between IRR and MOIC, what cash-on-cash actually means in PE versus real estate, and when each metric matters for LPs versus deal teams, has done real work. The candidate who blurs them together has not. The three metrics are not interchangeable, they answer fundamentally different questions about the same investment, and PE professionals use them in deliberate combination because each one captures something the others miss.

This guide walks through what each metric is, how to calculate it, when to use it, and the common mistakes candidates make when discussing them in interviews. The examples use simple numbers so the trade-offs are clear, and the framing matches how PE deal teams and LPs actually talk about returns in practice.

The first three are the focus of this guide. DPI and TVPI sit alongside them as the standard fund-level metrics LPs report; for the full set in fund-structure context, see the private equity fund structure guide.

Internal Rate of Return (IRR) is the annualized discount rate at which the net present value of all cash flows in and out of an investment equals zero. In plain terms, it is the compounding rate of return the investment generated, weighted by when the cash flows occurred. IRR is the metric LPs most commonly use to compare PE funds across vintages and against public-market benchmarks.

The formal definition: IRR is the rate $r$ that solves

where $CF_t$ is the cash flow at time $t$ (negative for capital invested, positive for distributions received). In practice it is computed iteratively (Excel's XIRR function does this for you, taking actual dates rather than just periods).

Internal Rate of Return (IRR)

The annualized discount rate that makes the net present value of all cash flows of an investment equal to zero. IRR captures both the magnitude of the return and the timing of when cash actually flows in and out, which means an early distribution mathematically boosts IRR even if the total dollars returned are the same. PE funds typically target net IRRs of 15 to 20% to LPs after fees and carry; top-quartile vintages frequently exceed 25%.

The strength of IRR is that it captures the time value of money. A dollar received in year 2 is worth more than a dollar received in year 5, and IRR mathematically reflects that. This makes it the right metric for comparing investments with different holding periods. A buyout that generates a 2.5x return over 4 years is meaningfully better than a buyout that generates a 2.5x return over 7 years, and IRR is the metric that surfaces the difference (roughly 26% IRR versus 14% IRR in this case).

The weakness of IRR is that it can be manipulated through early cash flows. A small distribution in year 1 (from a dividend recap or a partial exit) inflates IRR disproportionately, even if the total return at fund termination is unchanged. PE firms know this, and fund managers running into a fundraise will sometimes accelerate small distributions specifically to support headline IRR numbers. LPs have learned to discount these moves, which is part of why DPI has become a more closely watched metric in recent years.

Multiple on Invested Capital (MOIC) is the simplest return metric in private equity. You take the total value generated by an investment (distributions received plus the residual unrealized value) and divide by the capital invested. The result is a ratio: 2x, 3x, 5x. No time component, no compounding, just total dollars out divided by total dollars in.

PE deal teams use MOIC because it is the cleanest measure of how much money the deal made. A 3x MOIC means you tripled the equity, full stop. There is no debate about discount rates, no IRR-inflating timing tricks, and no need to assume future cash flows. For a deal team, a 3x MOIC is a great deal regardless of whether it took 3 years or 7 years.

MOIC

Multiple on Invested Capital, calculated as total value generated (cash distributions plus residual portfolio value) divided by capital invested. MOIC ignores the timing of cash flows and reports a simple ratio. In PE fund reporting, MOIC at the fund level is usually expressed as TVPI (Total Value to Paid-In), which is essentially the same multiple measured against LP-paid-in capital rather than GP-invested capital.

The weakness of MOIC is the inverse of IRR's strength: MOIC is blind to time. A 1.5x return in 18 months and a 1.5x return in 8 years look identical in MOIC terms, but they are wildly different deals economically. The 18-month deal annualizes to roughly 31% IRR and the 8-year deal annualizes to roughly 5% IRR. A PE fund would happily underwrite the first and decline the second on its way out the door.

This is why deal teams report both metrics together, never one alone. "We're underwriting a 2.5x MOIC and a 22% IRR over a 5-year hold" is the standard format. Each metric checks the other.

The core tension between IRR and MOIC is the most important concept in PE return analysis, and it shows up constantly in interviews. Holding all else equal, a deal that exits faster has a higher IRR. A deal that holds longer (and grows the equity over more time) has a higher MOIC. Sponsors face the trade-off explicitly when deciding whether to exit early or hold for additional value creation.

Consider a simple example. A PE firm invests $100 million in a buyout and faces two possible exit scenarios:

By MOIC, Scenario B is clearly better. By IRR, Scenario A is slightly better. Neither is obviously the right answer. A fund that needs to harvest exits to fundraise its next vehicle might choose Scenario A. A fund focused on absolute dollar returns to LPs might choose Scenario B. A fund running both simultaneously will think hard about which is more important to its current LP base.

The trade-off also matters for dividend recaps. A dividend recap returns capital to LPs early in the fund life, mechanically increasing IRR even before the underlying portfolio company is sold. The same total dollars returned to LPs at fund termination produce a meaningfully higher IRR if some of that capital came back at year 3 versus year 7. For a deeper walk-through, see the dividend recapitalization guide.

Cash-on-cash return is the metric that confuses candidates most often, because it means different things in different contexts. In real estate, it is an annual yield: the property's pre-tax cash flow after debt service divided by the equity invested. A property generating $60,000 in annual cash flow on $800,000 of invested equity returns 7.5% cash-on-cash per year. Real estate investors report this annually and use it to compare properties on yield terms.

In private equity, "cash-on-cash" is most often used in two narrower senses. First, it is sometimes used as a synonym for MOIC on a single deal: how much cash came back versus how much was invested. Second, and more commonly in deal-team conversations, it is used to track dividend recap returns: cash distributed back to the sponsor through additional debt issuance, expressed as a percentage of original equity invested.

Cash-on-Cash Return

Realized cash distributions divided by capital invested. In real estate, the metric is reported annually and represents an income yield. In private equity, it most often refers to cumulative cash returned on a deal (similar to a deal-level DPI), with dividend recapitalizations being the most common reason a sponsor tracks the metric mid-hold. Cash-on-cash never includes unrealized portfolio value; only actually distributed cash counts.

The interview test on cash-on-cash is whether the candidate can articulate the context-specific meaning correctly. A real estate interviewer asking about cash-on-cash wants the annual yield. A PE interviewer asking about cash-on-cash usually wants a deal-level DPI or a dividend-recap-specific calculation. Mixing them up signals lack of fluency.

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LPs and PE deal teams use return metrics with different priorities. Understanding the difference is important context for any PE interview.

LPs report at the fund level. The standard LP deck shows DPI, RVPI, TVPI, and net IRR for each fund in their portfolio, benchmarked against vintage-year peer groups (Cambridge Associates and Burgiss are the dominant benchmark providers). For older vintages where exits should already be flowing, LPs anchor on DPI as the credibility check, treating high TVPI with low DPI as a yellow flag. According to Bain's Global Private Equity Report 2026, the 2026 environment continues to push LPs toward this DPI-first framing as exit markets recover unevenly. Public pension fund reports such as CalPERS' Private Equity Program disclosures provide concrete public examples of how the metrics show up in real LP reporting.

Deal teams report at the deal level. Investment committee memos quote MOIC and IRR for the specific transaction being discussed, broken down by base case, downside case, and upside case. A typical underwriting target is 2.5 to 3.0x MOIC and 20 to 25% IRR, with the specific mix depending on hold period, sponsor strategy, and deal type. Deal teams care about MOIC because it represents absolute dollars made; they also care about IRR because their fund is benchmarked on it.

The two perspectives meet in the fund waterfall. Carry is calculated against fund-level returns, but the underlying performance is built one deal at a time. A few outsized MOIC outcomes on a small number of deals can drive most of a fund's overall return, which is why PE firms talk about "fund makers" (deals that single-handedly make the fund) and the structural importance of having one or two of them per vintage.

PE interviewers test return metrics constantly, and the same errors come up across candidates.

Confusing MOIC and TVPI. TVPI is fund-level MOIC measured against LP paid-in capital. MOIC at the deal level uses invested capital. The metrics report essentially the same multiple but at different scopes. Mixing them up suggests the candidate has not internalized the LP-versus-deal distinction.

Forgetting the time component of IRR. Many candidates explain IRR as "the return rate" without articulating that IRR accounts for cash-flow timing. The interviewer almost always follows up with a timing-sensitive question to test the candidate's understanding.

Treating cash-on-cash as a single fixed metric. Cash-on-cash means different things in real estate and private equity. The right answer in an interview always names the context first.

Ignoring net versus gross. When LPs talk about returns, they mean net of fees and carry. When deal teams talk about returns, they often mean gross. The two can differ by 300 to 500 basis points of IRR. Knowing which the interviewer is asking about is part of the test.

Quoting unrealistic targets. PE associate interviewers will sometimes ask "what's a good IRR?" The candidate who confidently says "30 to 40%" without context is signaling they have not read any LP report. The realistic answer is 15 to 20% net IRR for a typical fund, 20 to 25% gross IRR at the deal level, with top-quartile vintages exceeding both.

For more on the broader PE interview structure and the technical questions that accompany return-metric discussions, see the private equity case study framework and LBO modeling guide.

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The three metrics measure different things and are used in deliberate combination. The points to remember:

PE return metrics are a small, well-defined toolkit, and any analyst or associate working in or around the asset class needs to handle them with confidence. The three metrics in this guide each answer a distinct question. IRR is for speed. MOIC is for magnitude. Cash-on-cash is for realized distributions, with the specific meaning depending on whether the context is real estate or private equity. Used together, they describe the full economics of an investment in a way no single metric can.

The interview test on these metrics is rarely about whether you can recite the formula. It is about whether you understand the trade-offs between them, whether you can articulate when each one matters, and whether you can defend a point of view on questions like "would you optimize for IRR or MOIC?" Candidates who can do that signal real fluency with how PE actually works. Candidates who blur the metrics together signal the opposite. Get this right and most other PE technical questions become easier, because the entire fund-level economics described in the PE fund structure guide is built on the metrics walked through above.