ANOMALY WEALTHMutual Fund Intelligence Data throughAug 2026 Trade Intelligence ↗

Sectors · Aug 2023

Where mutual funds put their money

Every stock mutual funds disclosed, valued at its official NSE closing price and grouped by NSE industry. See which sectors funds own most, and which they bought or sold this month.

Data periodHoldings monthAug 2023NSE prices25 Sep 2026Data status →

In Aug 2023, funds put an estimated net ₹2,932 Cr into Information Technology and took an estimated net ₹2,348 Cr out of Capital Goods.

Estimated from the change in shares held by the same schemes, valued at the month-end NSE price. How this is estimated →

Every sector

Value held, share of all fund equity, and estimated buying in Aug 2023

₹ crore at official NSE month-end closing prices. “Share” is the sector’s part of all equity mutual funds disclosed; the change is in percentage points against the previous month.
SectorValue heldShareChange in share Estimated net buyingCompaniesNet bought / sold
Financial Services 4.13 lakh Cr 31.0% -0.52 pp +2,082 Cr 99 70 / 24
Information Technology 1.24 lakh Cr 9.3% +0.52 pp +2,932 Cr 28 15 / 12
Automobile and Auto Components 86,563 Cr 6.5% -0.05 pp +403 Cr 40 18 / 16
Oil Gas & Consumable Fuels 83,809 Cr 6.3% -0.24 pp +1,835 Cr 16 10 / 6
Fast Moving Consumer Goods 81,675 Cr 6.1% -0.15 pp +1,304 Cr 37 24 / 11
Healthcare 80,336 Cr 6.0% -0.05 pp -120 Cr 58 24 / 23
Capital Goods 78,737 Cr 5.9% -0.01 pp -2,348 Cr 77 24 / 42
Construction 42,439 Cr 3.2% -0.06 pp -826 Cr 22 8 / 10
Consumer Durables 40,027 Cr 3.0% +0.07 pp +90.60 Cr 34 13 / 16
Power 38,789 Cr 2.9% -0.07 pp +455 Cr 17 9 / 4
Consumer Services 37,660 Cr 2.8% +0.17 pp +1,099 Cr 27 19 / 7
Construction Materials 30,182 Cr 2.3% -0.01 pp +715 Cr 15 11 / 3
Chemicals 30,076 Cr 2.3% +0.11 pp -789 Cr 43 23 / 15
Metals & Mining 28,953 Cr 2.2% +0.03 pp +664 Cr 18 9 / 5
Telecommunication 27,189 Cr 2.0% -0.08 pp +156 Cr 12 7 / 4
Services 17,295 Cr 1.3% +0.06 pp +733 Cr 19 12 / 2
Realty 13,557 Cr 1.0% +0.02 pp -115 Cr 14 6 / 5
Textiles 10,976 Cr 0.8% +0.10 pp +233 Cr 9 5 / 2
Media Entertainment & Publication 7,263 Cr 0.5% +0.02 pp -391 Cr 7 3 / 3
Diversified 1,515 Cr 0.1% +0.01 pp -12.10 Cr 3 2 / 1
Utilities 800 Cr 0.1% +0.00 pp +3.87 Cr 2 1 / 0
Forest Materials 101 Cr 0.0% +0.00 pp +0.14 Cr 1 1 / 0
Not classified 56,016 Cr 4.2% +0.13 pp +188 Cr 346 91 / 74

How the mix has shifted

Share of all disclosed fund equity · the eight largest sectors today

Loading sector history…

A share can rise because funds bought more or because prices rose; the buying estimates above separate the two.

Stocks funds bought most

Estimated net buying in Aug 2023 · held by 5+ fund houses

  1. Coforge LimitedInformation Technology₹3,482 Cr
  2. Reliance Industries LimitedOil Gas & Consumable Fuels₹1,981 Cr
  3. SBFC Finance LimitedFinancial Services₹761 Cr
  4. Tata Motors Passenger Vehicles LimitedAutomobile and Auto Components₹573 Cr
  5. Power Finance Corporation LimitedFinancial Services₹569 Cr
  6. Suzlon Energy LimitedCapital Goods₹526 Cr
  7. ITC LimitedFast Moving Consumer Goods₹520 Cr
  8. Hindustan Unilever LimitedFast Moving Consumer Goods₹501 Cr

Stocks funds sold most

Estimated net selling in Aug 2023 · held by 5+ fund houses

  1. State Bank of IndiaFinancial Services₹961 Cr
  2. Supreme Industries LimitedCapital Goods₹941 Cr
  3. Larsen & Toubro LimitedConstruction₹722 Cr
  4. Axis Bank LimitedFinancial Services₹716 Cr
  5. HDFC Asset Management Company LimitedFinancial Services₹631 Cr
  6. Kotak Mahindra Bank LimitedFinancial Services₹554 Cr
  7. Dr. Reddy's Laboratories LimitedHealthcare₹547 Cr
  8. Maruti Suzuki India LimitedAutomobile and Auto Components₹505 Cr

Screen every stock by sector, size and buying →

19 fund houses disclosed portfolios for Aug 2023; 920 of 944 companies have an NSE closing price. Sectors are NSE Indices’ industry classification (95.8% of value classified; smaller companies outside the Nifty Total Market index are shown as “Not classified”). 1 fund-house disclosure did not match its month-end prices and is left out of the buying estimates. Method →