How PMS Returns Are Calculated: TWRR vs XIRR Explained

If you've ever compared your Portfolio Management Services statement with a friend's — even when you're invested in the exact same strategy with the exact same manager you may have noticed something unsettling: the return numbers don't match. Sometimes they're off by a percentage point or two. Sometimes the gap is much wider.

This isn't a reporting error. It's a structural feature of how PMS returns work. Unlike a mutual fund, where every investor buys and sells units at the same NAV and effectively earns the same time-weighted return, a PMS is a direct, discretionary account managed in your name. You can add money in March and your friend can add money in September, both in the same strategy, and your actual personal returns will diverge not because the manager treated you differently, but because markets moved differently in the windows when each of you were invested.

That single fact is the root of almost every point of confusion about PMS performance, and it's exactly why regulators eventually stepped in to standardize how these numbers get calculated and disclosed.

For much of the PMS industry's history in India, there was no single, mandated way to report performance. Portfolio managers were largely free to choose their own methodology, and as the market grew, so did concerns about inconsistency. A 2019 review flagged what industry watchers called lax reporting and disclosure standards, with some managers presenting model portfolio returns — a hypothetical "ideal" portfolio — rather than the returns actual clients experienced.

Around the same period, the Securities and Exchange Board of India (SEBI) also doubled the minimum PMS investment ticket size to ₹50 lakh, tightening who could access the product and reinforcing that PMS was meant for a more sophisticated, higher-net-worth investor base. That change alone reshaped the industry, but it didn't fix the performance-reporting problem.

The real turning point came on December 16, 2022, when SEBI issued a circular titled "Performance Benchmarking and Reporting of Performance by Portfolio Managers" (Circular No. SEBI/HO/IMD/IMD-PoD-2/P/CIR/2022/172), effective April 1, 2023. This circular is the reason your PMS statement looks the way it does today. It mandated:

• TWRR at the Investment Approach level, shown alongside the relevant benchmark's return, whenever a portfolio manager communicates or advertises performance.
• XIRR for each individual investor, along with the minimum, maximum, and median XIRR generated across all investors in that same Investment Approach — so you can see where your personal return falls relative to everyone else in the same strategy.
• A ban on model portfolio returns and cherry-picked individual client results in marketing material.
• A standardized benchmarking structure: every Investment Approach is tagged to one of four broad categories — Equity, Debt, Hybrid, or Multi-Asset — with a small, pre-approved set of benchmarks per category .

Implementation wasn't instant or entirely smooth — industry participants publicly sought extensions and flagged confusion over the new standardised return metrics in the months after the rules were announced. But by the time the rule took full effect, the industry had settled into the TWRR-plus-XIRR framework that governs disclosure today.

Before getting into TWRR, it helps to separate out the three calculation methods you're most likely to actually encounter on statements, fact sheets, and marketing decks.

Absolute return is the simplest: the straight percentage change in the value of your investment from start to end, with no adjustment for time. If ₹10 lakh grew to ₹13 lakh over three years, your absolute return is 30%. It tells you nothing about the rate at which that growth happened, which makes it nearly useless for comparing investments held over different periods.

CAGR (Compound Annual Growth Rate) fixes the time problem for a single lump-sum investment with no interim cash flows. It answers the question, "what constant annual growth rate would have taken my starting value to my ending value over this many years?" CAGR is clean and easy to compute, but it breaks down the moment you add or withdraw money partway through — which is exactly what happens in most real PMS accounts, where investors top up, and occasionally redeem partially, over time.

XIRR (Extended Internal Rate of Return) is built specifically for portfolios with irregular cash flows — additional investments, partial withdrawals, dividends, all happening on different dates. XIRR finds the single annualized rate of return that, when applied to every cash flow on its actual date, would produce your actual final portfolio value. This is why SEBI mandates XIRR for individual investor reporting: it's the only one of the three that reflects what actually happened to your money, on your own timeline. CAGR, by contrast, assumes a single lump sum with no interim activity.

Beyond mandating the two metrics, SEBI's framework also constrains how performance can be presented, which is worth understanding because it tells you what a compliant statement should — and shouldn't — look like.

A portfolio manager reporting on an Investment Approach must show:

1. TWRR for the approach, alongside the trailing return of the assigned benchmark, so you can see relative performance at a glance.
2. Relative performance versus peer portfolio managers running similar strategies within the same broad category (Equity, Debt, Hybrid, or Multi-Asset), not just against the market benchmark.
3. For individual clients, your own XIRR, plus the minimum, maximum, and median XIRR across every investor in that approach — a detail that's easy to miss but genuinely useful, since it tells you whether your own experience is typical or an outlier within the same strategy.

What's explicitly prohibited: presenting a hypothetical "model portfolio" return that no actual client experienced, and highlighting a cherry-picked individual client's exceptional return as if it were representative. If a fact sheet or pitch deck shows you an eye-catching return figure without also showing the benchmark, the approach-level TWRR, and the spread of investor outcomes, that's a signal to ask more questions before you treat the number as meaningful.

It's also worth noting what the rules don't fully solve. Portfolio managers still choose which of a limited set of benchmarks to use, and benchmark selection itself can flatter or understate relative performance — a mid-cap-heavy strategy benchmarked against a broad, large-cap-dominated index will look different than the same strategy benchmarked against a mid-cap index. Standardized reporting reduces manipulation; it doesn't eliminate the need for you to check whether the comparison actually makes sense.

Numbers make this concrete. Imagine an investor, Priya, who puts ₹50 lakh into a PMS strategy at the start of Year 1. The portfolio grows 20% in Year 1, reaching ₹60 lakh. At the start of Year 2, right after that strong run, Priya adds another ₹30 lakh, bringing the portfolio to ₹90 lakh. Year 2 turns out to be a weak year for the strategy — it falls 10%, ending Year 2 at ₹81 lakh.

TWRR calculation: The Year 1 return is +20%. The Year 2 return, calculated purely on the ₹90 lakh starting balance for that sub-period (ignoring when Priya's new money arrived versus when the old money was already invested), is -10%. Linking the two: (1.20 × 0.90) − 1 = 8% cumulative, or roughly 3.9% annualized over the two years. This is the number that reflects the manager's actual skill across the period, uncontaminated by Priya's decision to add money at a particular time.

Priya's XIRR: Priya's actual cash flows were: −₹50,00,000 at the start of Year 1, −₹30,00,000 at the start of Year 2, and +₹81,00,000 at the end of Year 2. Solving for the rate that equates these cash flows to zero net present value gives an XIRR of roughly 1.2% — noticeably worse than the manager's 3.9% TWRR, because Priya's larger deposit landed right before the weak year, meaning more of her capital was exposed to the -10% decline than to the earlier +20% gain.

If Priya only looked at the manager's advertised TWRR, she'd conclude the strategy did reasonably well. If she only looked at her own XIRR, she might unfairly conclude the manager underperformed. Both numbers are correct; they're just answering different questions — which is exactly why SEBI requires portfolio managers to disclose both rather than letting either one stand alone. (

A common point of comparison — and confusion — is why PMS returns look and behave so differently from mutual fund returns, even when the underlying stock selection is similar.

Mutual funds are pooled vehicles: every investor buys units at the same daily NAV, so everyone in the fund earns the identical time-weighted return regardless of when they invested, minus their own entry/exit timing relative to NAV movements (which shows up in their own XIRR if they made SIPs or lump-sum purchases at different times — but the fund's own reported return is a single, pooled TWRR-style number). A PMS, by contrast, is a segregated, discretionary account in your own name, which is precisely why individual XIRR reporting matters so much more here than it does for a mutual fund investor checking a scheme's published NAV-based return.

This structural difference has real consequences: two investors in the "same" PMS strategy can have meaningfully different net returns purely because of when they invested, something that essentially can't happen to two investors who bought the same mutual fund units on the same day. It also means PMS performance comparisons across providers require more care — you're not just comparing a published NAV-based number, you're comparing a strategy-level TWRR that may or may not resemble your own personal outcome.

Armed with the concepts above, here's a practical sequence for reviewing any PMS statement or fact sheet you receive:

• Identify which number you're looking at. Is it labeled TWRR (approach-level) or XIRR (your personal return)? Statements should label this clearly under SEBI's post-2023 format; if it isn't labeled, ask.
• Check whether it's gross or net of fees. A headline return that doesn't specify "net of fees" may be showing pre-fee performance, which can meaningfully overstate what you actually keep. Management fees, performance fees, and high-water-mark mechanics all affect your realized, net return.
• Compare TWRR against the disclosed benchmark, not against an index you picked yourself. Confirm the benchmark actually matches the strategy's stated focus (a small-cap strategy compared against a broad-market index isn't a fair comparison).
• Look at the minimum, maximum, and median XIRR figures, if disclosed, to see where your own return sits relative to other investors in the same approach. A large gap between your XIRR and the median is worth understanding — it usually comes down to timing, not manager behavior.
• Look across multiple time periods, not just one snapshot. A single strong or weak quarter can distort a short-window return; rolling returns across several overlapping windows give a more honest read on consistency.
• Ask what's excluded. Confirm whether the reported return accounts for all cash flows (including any dividends or corporate action proceeds) and whether taxes are factored in — SEBI-mandated XIRR and TWRR figures are pre-tax.

Running this checklist by hand across even two or three PMS options takes real time; it's the exact workflow platforms like PMS Sahi Hai built their Nyra engine to automate a point worth returning to once you see the full picture below.

Even sophisticated investors fall into a handful of recurring traps when evaluating PMS performance:

• Comparing your XIRR directly to another manager's advertised TWRR. These are different metrics measuring different things; comparing them head-to-head isn't a fair or meaningful test.
• Judging a strategy on one calendar year. PMS strategies, especially concentrated or thematic ones, can swing significantly year to year — market data has repeatedly shown periods where the majority of PMS schemes lagged benchmarks and other periods where the majority outperformed, sometimes within the same broader cycle .
• Ignoring benchmark mismatch. A great-looking relative return can simply be the result of an easy benchmark, not manager skill.
• Treating a single client's cherry-picked return as representative — a practice SEBI's rules now explicitly prohibit in marketing, but one that can still creep into informal conversations or older materials.
• Not accounting for fees and taxes when comparing a PMS return to a mutual fund return that's typically quoted net of expense ratio but before an investor's own capital gains tax.

This is where PMS Sahi Hai fits in. Every PMS fact sheet has an inner clause — the fine print around which benchmark was chosen, whether a return is pre- or post-fee, how the high-water mark resets, what counts toward the disclosed XIRR band. Most investors don't have the time (or, honestly, the patience) to read every disclosure document with that level of scrutiny across the 900+ PMS, AIF, and GIFT City offerings currently tracked in the Indian market.

PMS Sahi Hai is built to close that gap. It's an APMI-registered platform (APRN08358) that helps investors compare PMS, AIF, and GIFT City funds on a level playing field, and it runs on a simple structural principle: "Advice that answers to you, not to a commission." Rather than earning upfront placement fees that create an incentive to push a particular product, the platform works on a flat trail model, which means there's no built-in reason to favor one manager's flattering TWRR over another's more modest, but perhaps more honestly benchmarked, number.

At the center of this is Nyra, PMS Sahi Hai's AI analysis engine. Nyra reads a fund's complete factsheet — including the TWRR, the benchmark used, the fee structure, and the disclosed XIRR spread — in about 60 seconds, and scores every fund on an identical 0–10 basis so the comparison is apples-to-apples rather than marketing-copy-to-marketing-copy. Every score cites its underlying source (SEBI, AMC, or IFSCA documents), so instead of taking a fact sheet's headline number at face value, you can see exactly which disclosure it came from. In effect, Nyra does the "read the inner clause" work described in this article's checklist automatically, across hundreds of funds at once, rather than requiring you to do it manually, one PDF at a time. For more explainers like this one, PMS Sahi Hai's Insights section covers taxation, structural differences between PMS/AIF/mutual funds, and fee mechanics in plain language.

Understanding how PMS returns are calculated isn't an academic exercise — it's the difference between reading a performance report as a marketing pitch and reading it as a due-diligence document. Once you know that TWRR measures the manager and XIRR measures you, a single headline percentage stops being the whole story, and starts being one data point among several: the benchmark it's measured against, whether it's net of fees, and where your own outcome sits relative to other investors in the same approach.

That's a lot to track manually across dozens of PMS and AIF options — which is exactly the kind of cross-checking Nyra, PMS Sahi Hai's AI analysis engine, was built to handle. If you're evaluating a PMS and want the TWRR, the benchmark fit, the fee structure, and the fine print translated into a single comparable score rather than a stack of disclosure PDFs, that's the gap PMS Sahi Hai exists to close — advice that answers to you, not to a commission. Explore the comparison tool to see how your shortlist of managers actually stacks up once the reporting method is accounted for.