Aditya Birla Sun Life AMC Limited · Uncategorised · wound up

Aditya Birla Sun Life Medium Term Plan

uncategorised Growth plan, growth

At a glance

the fund as it stands today, from public disclosures

NAV, 4 Apr 2019

₹22.14

+0.13% since 29 Mar 2019

1 year

3.8%

return

3 years

6.9%

a year

5 years

not enough history

Since launch

8.1%

a year, over 4.5 years

Assets (AUM)

₹0 Cr

Jun 2019 AMFI quarterly average

Expense ratio, Direct / Regular

not disclosed

a year

Holdings

top ten are 40% of the fund · Jul 2026

Disclosed history

8.4 yrs

Aug 2017 – Jul 2026 · 1 of 11 checks could run

Fund managers

not parsed from the factsheets yet

All managers →

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

Not known yet: no factsheet named a manager for this fund.

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.

See what is missing →

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 →

NAV and drawdown

Growth plan, growth class · as of 4 Apr 2019

Month-end NAV, indexed to 100 at Sep 2014

56 month-ends · ₹15.59 → ₹22.14, 1.4× since Sep 2014

Deepest fall (max drawdown)

not computed

Worst month

not computed

Days to recover

not computed

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 unknown 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

Jul 2026 disclosure · 80 lines · when each was first held and the change over the last three disclosures

#	Holding	Sector	Weight	First held	Held for	3-mo change
1	Government of India (11/05/2036) government security	—	12.13%	Jul 2026	1 mo	+12.13%
2	8.25% Bajaj Housing Finance Ltd. (27/05/2031) ** corporate bond	—	4.66%	Jun 2026	2 mo	+4.66%
3	7.27% National Bank for Agriculture and Rural Development (23/02/2029) ** corporate bond	—	3.79%	Feb 2026	6 mo	-0.20%
4	6.66% National Bank for Agriculture and Rural Development (12/10/2028) corporate bond	—	3.45%	Jan 2026	7 mo	-0.18%
5	9.25% Hinduja Leyland Finance Ltd. (09/07/2031) ** corporate bond	—	3.34%	Dec 2025	8 mo	-0.15%
6	9.90% Oxyzo Financial Services Pvt. Ltd. (13/03/2029) ** corporate bond	—	2.71%	Mar 2026	5 mo	-0.16%
7	5.00% GMR Airports Ltd. (13/02/2027) corporate bond	—	2.57%	Aug 2025	1.0 yrs	-0.12%
8	JTPM Metal Traders Ltd. (29/09/2028) (ZCB) ** corporate bond	—	2.51%	Sep 2025	11 mo	-0.08%
9	Jubilant Bevco Ltd. (31/05/2028) (ZCB) ** corporate bond	—	2.51%	Jun 2025	1.2 yrs	-0.09%
10	TREPS / cash equivalents Net Receivable / Payable · money market	—	2.37%	Jul 2026	1 mo	+2.37%
11	9.50% Kogta Financial (India) Ltd. (30/10/2027) ** corporate bond	—	2.20%	Oct 2025	10 mo	-0.11%
12	8.66% Cholamandalam Investment & Finance Co. Ltd. (23/02/2033) ** corporate bond	—	2.10%	May 2026	3 mo	+2.10%
13	8.00% Adani Power Ltd. (27/01/2028) ** corporate bond	—	2.06%	Jan 2026	7 mo	-0.12%
14	10.96% Gaursons India Pvt. Ltd. (26/12/2028) ** corporate bond	—	2.06%	Apr 2026	4 mo	-0.12%
15	State Government Securities (29/06/2035) government security	—	1.93%	Mar 2026	5 mo	-0.08%
16	9.40% Vedanta Ltd. (20/02/2027) ** corporate bond	—	1.84%	Feb 2025	1.5 yrs	-0.11%
17	8.40% Narayana Hrudayalaya Ltd. (15/02/2030) ** corporate bond	—	1.83%	Feb 2025	1.5 yrs	-0.10%
18	8.32% Hero Housing Finance Ltd. (30/08/2027) ** corporate bond	—	1.83%	Apr 2025	1.3 yrs	-0.11%
19	8.75% JSW Energy Ltd. (20/03/2028) ** corporate bond	—	1.83%	Mar 2025	1.4 yrs	-0.10%
20	9.75% Nuvama Wealth Finance Ltd. (16/04/2027) ** corporate bond	—	1.78%	Feb 2025	1.5 yrs	-0.99%
21	8.56% SIS Ltd. (26/03/2028) ** corporate bond	—	1.75%	Mar 2025	1.4 yrs	-0.10%
22	TREPS / cash equivalents TREPS · money market	—	1.63%	Jul 2026	1 mo	+1.63%
23	5.00% GMR Airports Ltd. (13/08/2028) ** corporate bond	—	1.62%	Feb 2026	6 mo	-0.07%
24	7.66% National Bank for Financing Infrastructure and Development (16/06/2036) ** corporate bond	—	1.54%	Jul 2026	1 mo	+1.54%
25	7.44% National Bank for Agriculture and Rural Development (17/07/2029) corporate bond	—	1.53%	Jun 2026	2 mo	+1.53%
26	7.12% Housing and Urban Development Corporation Ltd. (26/12/2034) ** corporate bond	—	1.50%	Jul 2025	1.1 yrs	-0.06%
27	6.64% Power Finance Corporation Ltd. (15/07/2030) ** corporate bond	—	1.49%	Jul 2025	1.1 yrs	-0.07%
28	9.25% Ess Kay Fincorp Ltd. (09/05/2027) ** corporate bond	—	1.46%	Jan 2025	1.6 yrs	-0.63%
29	8.85% Hinduja Housing Finance Ltd. (01/02/2027) ** corporate bond	—	1.41%	Jan 2024	2.6 yrs	-0.08%
30	Government of India (15/04/2065) government security	—	1.39%	Jun 2026	2 mo	+1.39%
31	9.40% 360 One Prime Ltd. (04/03/2027) ** corporate bond	—	1.38%	Mar 2025	1.4 yrs	-0.08%
32	14.60% IKF Finance Ltd. (28/04/2028) (FRN) ** corporate bond	—	1.31%	Apr 2026	4 mo	-0.07%
33	6.59% Power Finance Corporation Ltd. (15/10/2030) ** corporate bond	—	1.19%	Jul 2025	1.1 yrs	-0.05%
34	7.83% IKF Finance Ltd. (12/08/2027) ** corporate bond	—	1.14%	Sep 2025	11 mo	-0.30%
35	5.85% Adani Airport Holdings Ltd. (08/09/2028) ** corporate bond	—	1.03%	Sep 2024	1.9 yrs	-0.14%
36	IRB Invit Fund invit	—	1.00%	Aug 2017	9.0 yrs	-0.02%
37	Nexus Select Trust equity	Realty	0.92%	Aug 2024	2.0 yrs	+0.01%
38	7.79% Tata Capital Housing Finance Ltd. (18/06/2030) ** corporate bond	—	0.91%	Jun 2026	2 mo	+0.91%
39	8.05% JSW Energy Ltd. (10/11/2028) ** corporate bond	—	0.90%	Nov 2025	9 mo	-0.05%
40	IndiGrid Infrastructure Trust structured product	—	0.83%	Dec 2024	1.7 yrs	-0.02%
41	7.60% Power Finance Corporation Ltd. (25/08/2033) ** corporate bond	—	0.77%	Jul 2025	1.1 yrs	-0.03%
42	Indus Infra Trust structured product	—	0.77%	Feb 2024	2.5 yrs	-0.03%
43	8.95% Vedanta Ltd. (16/03/2029) corporate bond	—	0.77%	Mar 2026	5 mo	-0.03%
44	7.90% Aditya Birla Housing Finance Ltd. (08/06/2027) ** corporate bond	—	0.76%	Mar 2025	1.4 yrs	-0.04%
45	7.85% Bharti Telecom Ltd. (20/03/2029) ** corporate bond	—	0.76%	Jul 2026	1 mo	+0.76%
46	8.73% Eris Lifesciences Ltd. (07/06/2027) ** corporate bond	—	0.73%	Jun 2024	2.2 yrs	-0.04%
47	8.73% Eris Lifesciences Ltd. (07/12/2026) ** corporate bond	—	0.73%	Jun 2024	2.2 yrs	-0.04%
48	Embassy Office Parks Reit reit	—	0.64%	May 2024	2.3 yrs	-0.02%
49	9.35% Delhi International Airport Ltd. (22/08/2030) ** corporate bond	—	0.62%	Jun 2025	1.2 yrs	-0.02%
50	State Government Securities (23/03/2035) government security	—	0.62%	Mar 2026	5 mo	-0.02%
51	8.20% Adani Power Ltd. (25/01/2029) ** corporate bond	—	0.61%	Jan 2026	7 mo	-0.03%
52	State Government Securities (25/05/2035) government security	—	0.57%	Mar 2026	5 mo	-0.02%
53	6.78% Indian Railway Finance Corporation Ltd. (30/04/2030) ** corporate bond	—	0.54%	Apr 2025	1.3 yrs	-0.03%
54	State Government Securities (03/09/2035) government security	—	0.46%	Sep 2025	11 mo	-0.02%
55	9.31% Vedanta Ltd. (03/12/2027) ** corporate bond	—	0.46%	Jun 2025	1.2 yrs	-0.03%
56	State Government Securities (27/03/2035) government security	—	0.46%	Mar 2026	5 mo	-0.02%
57	6.85% National Bank for Agriculture and Rural Development (19/01/2029) ** corporate bond	—	0.45%	Feb 2026	6 mo	-0.02%
58	State Government Securities (01/06/2034) government security	—	0.41%	Mar 2026	5 mo	-0.02%
59	State Government Securities (09/02/2035) government security	—	0.40%	Mar 2026	5 mo	-0.01%
60	8.34% Vertis Infrastructure Trust (18/01/2027) ** corporate bond	—	0.38%	Jan 2024	2.6 yrs	-0.02%
61	Government of India (23/05/2036) government security	—	0.32%	Nov 2025	9 mo	-0.01%
62	State Government Securities (02/05/2034) government security	—	0.31%	Mar 2026	5 mo	-0.01%
63	9.25% SK Finance Ltd. (24/10/2027) ** corporate bond	—	0.31%	Jul 2025	1.1 yrs	-0.02%
64	State Government Securities (24/02/2035) government security	—	0.30%	Mar 2026	5 mo	-0.01%
65	Corporate Debt Mkt Devp. Fund-A2 structured product	—	0.28%	Oct 2023	2.8 yrs	+0.01%
66	Raajmarg Infra Investment Trust structured product	—	0.23%	Mar 2026	5 mo	-0.00%
67	7.35% REC Ltd. (31/07/2034) ** corporate bond	—	0.15%	Apr 2025	1.3 yrs	-0.01%
68	Government of India (07/07/2040) government security	—	0.15%	Apr 2026	4 mo	-0.77%
69	State Government Securities (18/03/2035) government security	—	0.14%	Mar 2026	5 mo	-0.01%
70	Government of India (06/02/2033) government security	—	0.13%	Apr 2026	4 mo	-0.01%
71	State Government Securities (18/03/2036) government security	—	0.09%	Mar 2026	5 mo	-0.00%
72	Government of India (08/04/2034) government security	—	0.06%	Aug 2024	2.0 yrs	-6.81%
73	State Government Securities (26/02/2028) government security	—	0.05%	Jun 2020	6.2 yrs	-0.00%
74	State Government Securities (26/12/2028) government security	—	0.03%	Dec 2018	7.7 yrs	-0.00%
75	8.37% REC Ltd. (07/12/2028) ** corporate bond	—	0.03%	Dec 2018	7.7 yrs	-0.00%
76	Government of India (08/01/2028) government security	—	0.01%	Apr 2018	8.3 yrs	-0.00%
77	State Government Securities (18/02/2028) government security	—	0.01%	Jun 2020	6.2 yrs	-0.00%
78	State Government Securities (06/05/2027) government security	—	0.01%	Dec 2025	8 mo	-0.00%
79	Government of India (14/01/2029) government security	—	0.01%	May 2019	7.3 yrs	-0.00%
80	State Government Securities (24/10/2028) government security	—	0.01%	Oct 2018	7.8 yrs	-0.00%

Showing 1–80 of 80 rows per page10 25 50all

Largest sectors, Jul 2026 · grey: a year ago

Realty0.9%

share of the book05%

By market cap, Jul 2026

Cash & equivalents4.0%

Not classified0.9%

Other95.1%

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

Cash & other 4%

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

Not measurable yet. Needs at least two consecutive monthly disclosures.

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.

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 1 month

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.

No category distribution for this measure yet.

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

₹0 Cr

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.

No category distribution for this measure yet.

AUM, Jun 2016 → Jun 2019₹4 Cr → ₹0 Cr (−76% a year)

Assets under management, ₹ crore, Jun 2010 – Jun 2019

37 points · months without a factsheet figure use AMFI's quarterly average

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

Not measurable yet. Needs manager names from the monthly factsheet archive; none were parsed for this fund yet.

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.

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. Co-managed funds attribute the same months to every named manager, and a factsheet names the manager of record, not necessarily the person making the calls.

Tracking gap

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

No signal. About 99% of this fund is outside listed Indian equity — a foreign or derivative sleeve, or debt — and there are no daily prices to replicate it with. A wrong signal would be worse than none.

Share classes

latest NAV per AMFI code

Plan	Option	NAV	Date
— Aditya Birla Sun Life Medium Term Plan - Institutional - Growth Plan	growth	₹22.14	4 Apr 2019
— Aditya Birla Sun Life Medium Term Plan - Institutional - Daily Dividend Plan	idcw	₹—	—
— Aditya Birla Sun Life Medium Term Plan - Retail - Daily Dividend Plan	idcw	₹—	—
— Aditya Birla Sun Life Medium Term Plan - Institutional - Quarterly Dividend Plan	idcw	₹—	—
— Aditya Birla Sun Life Medium Term Plan - Institutional - Dividend Plan	idcw	₹—	—
— Aditya Birla Sun Life Medium Term Plan - Retail - Qrtly Dividend Plan	idcw	₹—	—
— Aditya Birla Sun Life Medium Term Plan - Institutional - Qrtly Dividend Plan	idcw	₹—	—
— Aditya Birla Sun Life Medium Term Plan - Institutional - Half Yearly Dividend Plan	idcw	₹—	—

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.

Compare with

same category, by size

pick any fund…