Groww · Other ETFs

Groww BSE Hospitals ETF

Other Scheme - Other ETFs Regular plan riskometer: Very high benchmark: BSE Hospitals Index - TRI launched 11 Feb 2026 open-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 21 Sep 2026

₹52.89

+0.57% since 18 Sep 2026, the previous NAV

1 year

not enough history

3 years

not enough history

5 years

not enough history

Since launch

10.2%

a year, over 0.6 years

Assets (AUM)

₹143 Cr

Aug 2026 factsheet

Expense ratio, Direct / Regular

0.45% / 0.00%

a year, as of Aug 2026

Holdings

top ten are 93% of the fund · Aug 2026

Disclosed history

6 mo

Mar 2026 – Aug 2026 · 4 of 11 checks could run

Fund managers

Aakash Chauhan · since Feb 2026Nikhil Satam · since Feb 2026Shashi Kumar · since Feb 2026

All managers →

As the Aug 2026 factsheet printed it: portfolio turnover 1.00×. Exit load and minimum investment are not yet extracted from the scheme documents.

What only Anveshan can tell you

measured from the disclosures, not quoted from a brochure — each links to how it was done

P5Cost, measured

Cannot be measured: needs both a Direct and a Regular growth class.

The Regular and Direct plans hold the same portfolio; the Regular one pays a distributor out of your money every day. The gap between the two NAVs is that cost, measured from the NAVs rather than quoted from a document.

See how it is measured →

P7Whose record

Run by Aakash Chauhan for 7 mo

with Nikhil Satam, Shashi Kumar. A return earned before they arrived is the house's record, not theirs — the tenure table shows the fund against its category over exactly their months.

Aakash Chauhan's other funds →

NAVTracking gap

Not replicated: the portfolio cannot be priced line by line in this build.

Each day, the NAV the fund published against the NAV its last disclosed portfolio would have produced at that day's prices. A gap that opens and stays is a change the fund has made and not disclosed yet.

See the daily gap →

P4Consistency

Not measurable yet: needs three years of NAV and a category median.

Take every three-year stretch since the fund had a NAV, one starting each month, and ask two things of each: did it beat the typical fund in its category, and by how much. Counting the wins tells you the record does not depend on when you happen to look; averaging the margin tells you whether winning often was worth anything, because four small wins do not pay for one large loss.

See every window →

headline and record disagree 2 checks found the headline number and the underlying record pointing different ways — marked on the cards below.

NAV and drawdown

Regular plan class · as of 21 Sep 2026

Month-end NAV, indexed to 100 at Mar 2026

7 month-ends · ₹44.49 → ₹52.89, 1.2× since Mar 2026

Deepest fall (max drawdown)

−9.3%

5 Mar 2026 → 23 Mar 2026

Worst month

−3.6%

Aug 2026

Days to recover

from the deepest trough back to the old high

Drawdown is measured on the last year of daily NAV; trailing returns are CAGR of the regular growth class. A single end date decides them — the consistency card (P4) below is the record that does not, and it reports both how often the fund beat its category and by how much, because the first without the second can point the wrong way.

Holdings

Aug 2026 disclosure · 18 lines · when each was first held and the change over the last three disclosures

#	Holding	Sector	Weight	First held	Held for	3-mo change
11	Dr. Agarwal's Health Care Limited equity	Healthcare Services	1.65%	Mar 2026	6 mo	-0.06%
12	Healthcare Global Enterprises Limited equity	Healthcare Services	1.63%	Mar 2026	6 mo	+0.04%
13	Kovai Medical Center & Hospital Ltd. equity	Healthcare Services	1.17%	Mar 2026	6 mo	+0.04%
14	Park Medi World Ltd. equity	Healthcare Services	0.68%	Jun 2026	3 mo	+0.68%
15	Indraprastha Medical Corporation Limited equity	Healthcare Services	0.68%	Mar 2026	6 mo	-0.10%
16	Artemis Medicare Services Limited equity	Healthcare Services	0.66%	Mar 2026	6 mo	+0.03%
17	Shalby Limited equity	Healthcare Services	0.18%	Mar 2026	6 mo	-0.03%
18	TREPS / cash equivalents Net Receivable/Payable · cash equivalent	—	-0.03%	Mar 2026	6 mo	-0.08%

Showing 11–18 of 18 · page 2 of 2 rows per page1025 50 all

Largest sectors, Aug 2026

Healthcare Services100.0%

share of the book05%10%15%20%25%30%35%40%45%50%55%60%65%70%75%80%85%90%95%100%105%

By market cap, Aug 2026

Large cap20.7%

Mid cap44.3%

Small / micro cap34.2%

Not classified0.9%

share of the book025%50%75%100%

"Not classified" is what no cap tier could be inferred for — newly listed names, or lines without an ISIN.

Composition by market cap, month by month — what the fund actually held against what its label says

Large cap 21%
Mid cap 44%
Small / micro 34%
Cash & other -0%

The seven checks, in full

each: the plain claim, where it sits in the category, and — folded — how it is measured and the case against. A flag fires only where headline and record disagree.

P4 Consistency, not a single end date

Not measurable yet. Needs at least three years of month-end NAV and a category median; not computed for this fund yet.

What this means. Take every three-year stretch since the fund had a NAV, one starting each month, and ask two things of each: did it beat the typical fund in its category, and by how much. Counting the wins tells you the record does not depend on when you happen to look; averaging the margin tells you whether winning often was worth anything, because four small wins do not pay for one large loss.

How it is measured, and the case against

A fund that beats its category in most rolling three-year windows has a record; one that beats it in a few has an end date. How often it won and by how much are different questions, and this card answers both, because a fund can win four windows in five and still be behind across all five.

How often has it beaten its category, across every window?

Why this might matterRolling every three-year window forward month by month gives hundreds of overlapping observations instead of one. A single end date decides a headline five-year figure; the share of windows won cannot be flattered by when you happen to look. The average margin across every window is that share and the payoff multiplied together — win share x average beat plus loss share x average shortfall is exactly the average — so a high share bought with a few ruinous windows cannot hide behind the count.

Why it might notRolling windows overlap heavily, so they are not independent observations and the true sample is far smaller than the count suggests — the card says how many non-overlapping windows the same span holds, and it is usually a handful. A fund that changed manager or mandate carries a record that is only partly its own. The average margin is only as meaningful as the category: where a category is a grab bag (“Other ETFs” holds gold beside equity), a large shortfall says the comparison is wrong, not that the fund is. And none of this forecasts: our own study found the share of windows won does not predict the next three years, and weighting it by payoff gives no reason to think otherwise.

P5 Cost, measured

Not measurable yet. Needs a Direct and a Regular growth class with overlapping NAV history.

What this means. The Regular and Direct plans hold the same portfolio; the Regular one pays a distributor out of your money every day. The gap between the two NAVs is that cost, measured from the NAVs rather than quoted from a document.

How it is measured, and the case against

The Direct plan is the same portfolio, priced differently; the divergence of the two NAVs is the cost, measured rather than quoted.

What does the Regular plan actually cost against its Direct twin?

Why this might matterSame manager, same holdings, same day. The gap between the two NAV series is the one number on this page that is knowable today rather than hoped for, and it compounds for as long as the units are held.

Why it might notA Regular plan buys advice. If that advice stops someone selling in a drawdown it can be worth more than the fee — the cost is visible and the behavioural saving is not, which makes this comparison unfair in exactly one direction.

P1 Churn, and what it bought

Turns over 36% of the portfolio a year

What this means. How much of the portfolio was bought and sold in a year, computed from what the fund disclosed each month. Trading costs something certain; the extra return it is meant to buy is not.

36% a year

costliest in categorycheapest in category

67th percentile · above median of 158 funds · category median 43%

excess return per unit of turnoverneeds the category 1-year median — not computed yet

How it is measured, and the case against

Turnover measured from consecutive disclosures — Σ|Δweight|/2 — costs something certain; the excess return it is meant to buy is not.

Is the trading paying for itself?

Why this might matterAMCs define their own turnover figure inconsistently. This one is computed from what the fund disclosed month to month, so two funds are comparable on it. Read it beside the excess return per unit of turnover.

Why it might notTurnover computed from month-end snapshots misses everything bought and sold inside a month, and a fund forced to sell by redemptions is charged for churn it did not choose.

P2 Conviction or inertia

Typical top-10 holding kept 6 months

What this means. How long a typical top-10 position has been in the top ten. Long-held positions are a decision; a top ten that changes every quarter is a reaction.

6 months

lowest in categoryhighest in category

5th percentile · bottom decile of 160 funds · category median 27 months

active sharenot yet computable — needs index constituent files

How it is measured, and the case against

The median months a top-10 position has been held separates a portfolio somebody chose from one that drifted.

How long does a top-10 position stay a top-10 position?

Why this might matterConcentration is how a manager expresses conviction, and persistence is how long they keep it. Long-held positions with a rising weight are a decision; a top ten that turns over every quarter is a reaction.

Why it might notPersistence without active share is inertia: a portfolio of 166 names that tracks its category closely has diversified away the reason to pay for it. Active share needs index constituent files, which are not loaded yet.

P3 Hit rate of the top ten

Not measurable yet. Detector not yet written: needs each disclosure's top ten joined to six months of forward prices. Holdings and prices are in hand.

What this means. Take each month's ten largest holdings and check whether each one beat the typical stock its category holds over the next six months, and by how much. A blended return can hide two wins and eight losses; a count of wins can hide one position that lost half its value.

How it is measured, and the case against

A manager's largest bets, judged one by one over the following six months, say more than the fund's blended return — and how far each one beat or missed the median stock says more than counting how many did.

Of its top-10 positions, how often did they beat the category-median stock?

Why this might matterA fund can beat its category on two positions and lose on eight; the hit rate shows the pattern the aggregate hides. The average margin then shows what the hit rate hides in turn: six winners worth a point each do not pay for four losers worth ten, and only the margin says which happened.

Why it might notSix months is short, sizing matters more than counting, and a manager who is right on the biggest position and wrong on nine small ones has done their job — the margins here are unweighted, so they answer the counting question better, not the sizing one. Overlapping disclosures judge the same position again each month it is held, so one long-held winner is counted many times. And this is a description of six months already past, not a forecast of the next six.

P6 Size against edge

₹143 Cr, 49th percentile in category; 99% of growth came from inflows

smaller than 51% of the funds in its category (160 funds) · AUM Mar 2026 → Aug 2026 · Regular plan expense ratio 0.00%

What this means. Where the fund sits by size in its category, and how much of its growth was money arriving rather than the portfolio compounding. A very large fund cannot buy what a small one can; size should buy a lower fee in return.

49th percentile by AUM

largestsmallest

51th percentile · above median of 160 funds

expense ratio, Regular / Direct0.00% / 0.54% · category median 0.16%AUM, Mar 2026 → Aug 2026₹7 Cr → ₹143 Crof that change, from flows rather than returns99% net inflows · NAV +17% over the window

Assets under management, ₹ crore, Mar 2026 – Aug 2026

4 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 0.00% in Mar 2026 → 0.00% in Sep 2026

How it is measured, and the case against

Past a certain size the smaller end of a mandate becomes unreachable, and the fund starts to look like its index; what size should buy in return is a lower expense ratio.

Has the fund outgrown the universe it invests in — and did size buy a lower fee?

Why this might matterSize narrows what the manager can meaningfully hold and should lower what the investor pays. Read the AUM history beside the expense ratio: a fund that has tripled through inflows while its Regular-plan TER sits above the category median has kept the benefit of scale for the house. The flow decomposition says how much of the growth was money arriving rather than the portfolio compounding.

Why it might notScale funds research teams, and plenty of large funds have gone on compounding for decades. Inflows follow performance, so a fund growing fast is usually one that did well; the constraint is real but not automatically binding, and a TER is a ceiling the AMC can cut at any time.

P7 Whose record is this headline and record disagree

Run by Aakash Chauhan for 7 mo

with Nikhil Satam, Shashi Kumar

What this means. How long the people running it now have been running it, read from the monthly factsheets. A five-year record earned under someone else is not evidence about these managers.

7 mo · Aakash Chauhan

newest teamlongest-serving

20th percentile · bottom quartile of 123 funds · category median 1.5 yrs

running it nowAakash Chauhan (since Feb 2026), Nikhil Satam (since Feb 2026), Shashi Kumar (since Feb 2026)share of the fund's life under the longest-serving current manager100%changes of hands in the archivenone

Who ran it, month by month · factsheets through Sep 2026

running it nowearlier

Manager	Role	From	To	Fund vs category, those months	3-yr stretches won in tenure
Aakash Chauhan	fund manager	Feb 2026	now	17.4% vs 12.6% (+4.83 pp)	—
Nikhil Satam	fund manager	Feb 2026	now	17.4% vs 12.6% (+4.83 pp)	—
Shashi Kumar	fund manager	Feb 2026	now	17.4% vs 12.6% (+4.83 pp)	—

* dated by first appearance in the archive we hold, not by a date the factsheet printed. Co-managed months count for every manager named; a factsheet names the manager of record, not who made each call. All managers →

The 5-year record predates everyone currently running it. The longest-serving manager on this scheme has been in place about 0.6 years, against a 5-year figure on display. Aakash Chauhan joined roughly 0.6 years ago. A record earned under different people is not evidence about these ones.

How it is measured, and the case against

A record earned under different people is not evidence about these ones.

Does the displayed record predate the people running it?

Why this might matterA five-year figure on a fund whose longest-serving manager joined two years ago is the house's record more than the person's. The tenure here comes from what each monthly factsheet named, so a change of hands is dated to the month it was disclosed, and the fund's return against its category can be read over exactly those months.

Why it might notFund houses have processes, research desks and mandates that outlast individuals, so a manager change is not a reset. It does mean the displayed record is the house’s more than the person’s.

Tracking gap

the NAV the fund published, against the NAV its last disclosed portfolio would have produced at each day's prices

No signal. Replication needs a fully disclosed domestic-equity portfolio and daily prices for every line; this fund has not been replicated in this build.

Share classes

latest NAV per AMFI code

Plan	Option	NAV	Date
regular Groww BSE Hospitals ETF	—	₹52.89	21 Sep 2026

The Direct / Regular gap, in rupees

This fund does not have both a Direct and a Regular growth class in the data, so the gap cannot be measured.

A Regular plan buys advice. The fee is visible and the behavioural saving is not; both are shown, neither is netted off.

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