GANESHHOU.NS
HoldPremium GrowerGanesh Housing Limited · Real Estate · India · $640M cap · $209K/day traded
INR 671.95 +0.1% · close 22 Oct · scored 23 Oct
Premium Grower: Strong business with the market behind it, priced at a premium.
As of 23 Oct 2026, MoatMap's StockRank for Ganesh Housing Limited (GANESHHOU.NS) is 59/100, ranked against 24,000+ stocks in 35 markets (Quality 72, Value 24, Momentum 58, each scored against its sector).
Does StockRank work? Each month we publish how every decile did, whichever way it went. See the record →
ABOUT GANESH HOUSING LIMITED
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Ganesh Housing Limited operates as a real estate company in India. It is involved in the development of infrastructure, landmark residential, commercial, and mixed-use spaces. The company was founded in 1960 and is based in Ahmedabad, India.
FINANCIAL SUMMARY (INR)
| Year | 2023 | 2024 | 2025 | 2026 | CAGR | TTM |
|---|---|---|---|---|---|---|
| Revenue | 6.1B | 8.9B | 9.6B | 5.1B | -5.8% | 6.4B |
| EPS (INR) | 12.00 | 55.25 | 71.72 | 37.93 | 46.8% | 31.32 |
| Shares | 83.4M | 83.4M | 83.4M | 83.4M | 0.0% | 83.4M |
| Debt | 35.7M | 80.6M | 65.2M | 2.8B | 328.3% | 3.0B |
| Equity | 11.1B | 15.5B | 20.6B | 23.3B | 28.1% | — |
| Op CF | -2.2B | 6.4B | 4.1B | 2.1B | -42.2% | 2.1B |
| Inv CF | 2.8B | -4.9B | -3.9B | -5.4B | — | — |
| Fin CF | 13.9M | -2.4B | -941.8M | 2.3B | — | — |
No clear trend: not near its 52-week low, and not in a steady uptrend.
Calmer than 60% of stocks we rank over the past year (36% a year).
How this is worked out
StockRank judges the business. The price check reads only the chart: it is the price side of the Momentum score, in words.
The rules: Still falling is a new 52-week low in the last two weeks, at least 25% below the high. Finding a floor is no new low since. Turning up is 20 or more trading days without a new low, at least 10% off it, and back above a rising 50-day average. In an uptrend is above the 200-day average and within 15% of the high.
In 2,112 US drawdowns since 2001, buying while the price was still falling was followed by a further 20% drop 42% of the time. Waiting for a turn like this one cut that to 33%, at about 7% higher prices and with no better returns. Part of that cut is simply not buying: 13% of falls never turned, and waiting kept those out. Among turns that were bought, 38% still fell another 20%, and 33% of turns were followed by a new low within six months. The benefit was largest in crashes such as 2008 and 2020.
What it measures: day-to-day price moves over the past year, as a yearly figure, ranked against every stock we cover. Very calm under 20% a year, Calm 20 to 30%, Average 30 to 40%, Bumpy 40 to 55%, Very bumpy above that.
What we found: across about 13,500 stocks in 34 markets (2002 to 2025), past swings were a good guide to the next year's, and bumpier stocks fell further. How much further changed too much between eras to put a number on it.
Calm is not safe: a calm stock can still slide steadily.
Rules fixed before any data was fetched. Describes the chart, not a recommendation.
SCORE BREAKDOWN
FUNDAMENTALS
SECTOR PEERS
Closest peers in Real Estate, ranked by industry match, size, and score similarity. Cross-listings of GANESHHOU.NS are excluded.
| Ticker | Company | Mkt Cap | StockRank | Signal |
|---|---|---|---|---|
| GANESHHOU.NS | Ganesh Housing Limited(you) | $640M | 59 | Hold |
| PURVA.NS | Puravankara Limited | $532M | 52 | Hold |
| KOLTEPATIL.NS | Kolte-Patil Developers Limited | $399M | 64 | Hold |
| MAHLIFE.NS | Mahindra Lifespace Developers Limited | $788M | 44 | Hold |
| RAYMONDREL.NS | Raymond Realty Limited | $491M | 78 | Buy |
| ASHIANA.NS | Ashiana Housing Limited | $407M | 75 | Buy |
| ALEMBICLTD.NS | Alembic Limited | $287M | 69 | Buy |
| IBULLSLTD.NS | Indiabulls Limited | $664M | 85 | Strong Buy |
| AJMERA.NS | Ajmera Realty & Infra India Limited | $247M | 67 | Buy |
| ARVSMART.NS | Arvind SmartSpaces Limited | $298M | 73 | Buy |
Peer medians: ROE 6.9% · P/E 25.7x · Gross margin 54.3%
Company Deep Dive
Business segments breakdown, earnings transcript analysis, management credibility scoring, competitive landscape, and scenario modelling.