IRR vs MOIC

MOIC (multiple on invested capital), sometimes called equity multiple, answers a simple question: for each dollar put in, how many dollars of value came out (or remain)? If a fund invests $10m and eventually distributes $25m with nothing left, MOIC is 2.5x. Timing does not enter the fraction.

IRR answers a different question: what constant annualized return equates the cash outflows and inflows across time? Receiving $25m in year three produces a higher IRR than receiving $25m in year eight for the same $10m investment. IRR is sensitive to interim distributions, subscription-line timing games, and the exact dates used in the calculation.

For asset-class context, see what is private equity? For buyout cash-flow shape, see the leveraged buyout guide. Terms like DPI and TVPI are in the glossary.

Invest $20m at close. Exit for $50m of equity proceeds with no intermediate distributions. MOIC = 50 / 20 = 2.5x in both scenarios below.

Scenario A — exit in 3 years. Rough IRR is on the order of ~35%+ annualized (exact figure depends on day count). Capital was tied up briefly; the time-weighted metric looks excellent.

Scenario B — exit in 7 years. The same 2.5x implies a much lower IRR — roughly mid-teens depending on conventions. LPs may still like the absolute dollars, but the opportunity cost of capital looks worse than Scenario A.

Moral: quoting “we did 2.5x” without hold period is incomplete; quoting “we did a 40% IRR” without MOIC and cheque size is also incomplete.

Invest $20m. In year 3, a dividend recap distributes $10m. In year 6, exit distributes another $30m. Total distributions = $40m → MOIC = 2.0x on $20m. IRR will be higher than a deal that returns the entire $40m only at year 6, because capital came back earlier. Whether the recap was wise depends on leverage risk and growth options sacrificed — the metric movement alone is not a strategy review.

Deal-level gross MOIC/IRR can look stellar while fund-level net returns to LPs are diluted by fees, expenses, broken-deal costs, and underperformers. When you read marketing materials, ask which lens you are seeing. Net IRR and DPI are closer to LP lived experience; gross deal IRRs are closer to underwriting scoreboards.

Subscription lines can also change reported IRRs by delaying capital calls. Sophisticated LPs adjust for that when comparing managers. Transparency beats cleverness.

Use MOIC when comparing absolute value creation and when hold periods are similar. Use IRR when capital velocity and reinvestment matter — for example, deciding whether to sell now versus hold two more years. Use DPI when discussing liquidity to LPs. Use TVPI when including remaining NAV, with healthy skepticism about marks.

Investment committees should require a small dashboard: equity cheque, MOIC, IRR, hold, key sensitivities, and cash returned to date. For operating agendas that try to lift those outcomes, see AI in private equity — tools change execution, not the definitions of the metrics.

Suppose a company could be sold today for a 2.0x MOIC after three years (~26% IRR rough order) or held two more years to reach 2.6x (~21% IRR rough order). Which is “better”? It depends on reinvestment opportunities, fund timing, LP liquidity preferences, and risk in the extra two years. IRR alone pushes you to sell; MOIC alone pushes you to hold; adult judgment weighs both plus durability of earnings.

Now add a dividend: if a recap can return 0.6x in year four while still allowing a 2.2x total MOIC by year six, IRR may look strong even if enterprise value creation is mediocre. Ask whether the recap increased default risk or starved growth capex. Metrics illuminate; they do not absolve.

At the fund level, one fast 4x on a small cheque and one slow 2x on a large cheque can produce a portfolio IRR that obscures where DPI will come from. Size-weight your mental model. IC memos should always show equity dollars, not only percentages.

Watch for IRR calculated with subscription-line timing that delays LP calls. Watch for gross deal IRRs averaged without capital weighting. Watch for MOIC that includes unrealized marks marked to hopeful comps. Watch for “cash-on-cash” language that mixes definitions. Ask for the cash-flow dates.

PME and other public-market equivalent methods try to answer whether PE beat public alternatives — a related but different question from IRR vs MOIC. Do not conflate them in an IC setting; sequence the questions.

When AI cost savings are baked into forward IRR models, demand the same evidence standard you would for plant efficiencies: baseline, owner, timing, and downside if inference prices or adoption disappoint. A model is not evidence.

Include: equity invested and expected, hold period, gross MOIC and IRR, net impact if knowable, DPI to date for funds, key sensitivities (exit multiple, EBITDA, rates), and a one-paragraph risks list. For operating improvements, show the EBITDA bridge separately from multiple expansion so no one confuses financial markets with managerial skill.

Teach new associates to reconcile MOIC math by hand before they trust a spreadsheet template. Many errors are units mistakes — thousands vs millions, equity vs enterprise, entry vs exit net debt. Pride in basics is alpha.

For vocabulary around these metrics, keep the glossary open. For the debt schedule that feeds equity cash flows, keep the LBO guide open. For the ownership tools that try to move EBITDA, keep the AI playbook open.

Across funds, the teams that make durable progress share a few habits. They write decisions down with dates. They refuse to expand scope before metering exists. They pair every automation claim with a quality floor and a named executive owner. They bring CFOs into model-routing debates early, before unit costs become a surprise in the monthly pack. And they treat vendor press releases as inputs to diligence, not as substitutes for operating proof.

The teams that struggle also rhyme. They launch too many pilots. They staff AI as a side project for already overloaded engineering managers. They buy enterprise agreements to “get started” without workload maps. They hide failures instead of killing them. In a five-year hold, those habits compound into wasted calendar time — the scarcest resource in a portfolio company fighting day-to-day fires.

On IRRvsMOIC, use the rest of this site as a toolkit, not as dogma. The Deal Wire tells you where capital is forming. The league table shows who is participating. The pricing index and calculator quantify unit economics. The spoke guides dig into sourcing, diligence, costs, value creation, ops, governance, model choice, and the first hundred days. Your job is to assemble the pieces into a plan your board can govern and your operators can run on a Monday morning.

Finally, remember the asset-class basics still bind. Returns still come from buying well, improving companies, and selling better. IRR and MOIC still disagree usefully. Leverage still amplifies both directions. AI changes the operating toolkit and the cost stack inside that timeless loop. If you keep that proportion straight, you will ask better questions than peers who think a model alone is a strategy.

Practitioners should leave this page with a bias toward instrumentation and accountability. Write the metric before the pilot. Write the owner before the vendor. Write the kill criteria before the kickoff. In private equity, calendar time during the hold period is the inventory you cannot replenish — spending it on unmeasured AI activity is still a real cost even when the invoice looks small.

Share learning across the portfolio ruthlessly. A failure documented in one company is a gift to the next. A success that remains tribal knowledge in a single CTO’s head is an undiversified asset. Sponsors that build that learning loop — alongside capital structures they already understand — will treat AI as what it is becoming: a standard chapter in value creation and risk management, not a side demo for visiting LPs.

Continue through related guides linked on this page, keep as-of dates on every figure you reuse, and return to primary sources when a Deal Wire entry matters to a live decision. Good process compounds quietly; that is usually what good returns look like from the inside.