Models
GENERIC ENG CONS PROJ LTDGENCONRealty
2per share · Base Model Note
Revenue growth, the horizon and scenarios are yours to change. Every other input is part of the Trader plan; saving, sharing a saved link and the live-formula workbook are part of the Institutional plan.
Scenario
Value per share, your model2implied FY25 P/E 0.7× · EV/EBITDA 2.1×
Against CMP ₹41.4094.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3063%share of enterprise value in the terminal
This figure is the arithmetic of your inputs and nothing else. MarketPing publishes no fair value, target or rating; the model is yours.

Where the methods land · ₹ per share · the dashed line is the CMP

DCF, rate ±1 · growth ±1your model across the sensitivity grid
(0)7
52-week rangetraded range, a fact not a value
3660

From enterprise to equity · ₹ crore

PV of FY26FY30 free cash flow28
PV of terminal value48
Enterprise value76
less net debt(63)
less non-controlling interest0
add non-operating investments0
Equity value13
÷ 5.70 crore shares2

Free cash flow, filed and modelled · ₹ '000 crore

000000FY25: ₹5 croreFY25FY26: ₹9 croreFY26FY27: ₹8 croreFY27FY28: ₹7 croreFY28FY29: ₹6 croreFY29FY30: ₹5 croreFY30
Filed, cash from operations − capexModelled free cash flow to firm

Sensitivity · ₹ per share

Down Across
WACCterminal growth4.0%4.5%5.0%5.5%6.0%
10.00%34567
10.50%23346
11.00%12234
11.50%01123
12.00%(0)0112
The outlined cell is your model. Green figures sit above the CMP of ₹41.40; n/a marks a terminal growth at or above the discount rate. Steps: WACC and terminal growth ±0.5 point, growth ±2, margin ±1.

Distribution of outcomes · 4,000 draws · growth, margin and the discount rate vary together

P10(9)P502P9012
10th · 50th · 90th percentile, ₹ per share(9) · 2 · 12
Draws below the CMP100%
Rank correlation with ebitda margin+0.76
Rank correlation with revenue growth0.63
Rank correlation with discount rate0.11
Each driver is drawn from a PERT distribution between the lowest and highest value across your scenarios (or ±50% growth, ±20% margin when there is one scenario), with the discount rate ±1.5 points. Seeded, so the same inputs give the same picture.

Projected cash flow to the firm · ₹ crore

History Forward
₹ croreFY25FY26FY27FY28FY29FY30
Revenue302326352380411444
growth %8.08.08.08.08.0
EBITDA363942464953
margin %12.012.012.012.012.012.0
less depreciation(13)(14)(15)(16)(17)(19)
EBIT242527303235
less tax on EBIT(8)(9)(10)(10)(11)(12)
NOPAT151718192123
add depreciation131415161719
less capex(10)(11)(13)(16)(19)(22)
less working-capital build(10)(11)(12)(13)(14)
Free cash flow to firm98765
Discount factor0.9490.8550.7700.6940.625
Present value97643
History columns are the filed years (free cash flow there is cash from operations − capex, as filed); the base year and everything to its right come from the engine. Forward is the explicit horizon of the model itself: 3, 5 or 10 years, then flat.

The three statements, projected · ₹ crore · debt held at 67, dividends at 0% of profit

₹ croreFY25FY26FY27FY28FY29FY30
Income statement
EBIT242527303235
Interest at 19.8% on debt(13)(13)(13)(13)(13)
Profit before tax1214161921
Profit after tax1289111214
Dividends000000
Balance sheet, year end
Cash55531(4)
Working capital130141152164177192
Net block and other assets322319317317319322
Debt676767676767
Equity284292302312324338
Balance check00(0)0(0)(0)
Cash flow
From operations1113141618
Investing (capex)(11)(13)(16)(19)(22)
Financing (dividends)00000
Net change in cash0(0)(1)(3)(4)
Free cash flow to equity0(0)(1)(3)(4)
Other liabilities are held at their FY25 level, so the check tests only what the model moves: cash, working capital, net block and other assets, debt and equity. A non-zero check would mean the three statements no longer tie.

Scenarios side by side · ₹ per share

ScenarioTemplateGrowthMarginRateTerminal₹ / sharevs CMP
Base · editingDCF8%12%11.00%5%2(94.4)%
A scenario is a full set of inputs under a name. Keep Base as the filed history carried forward; add Bull and Bear by saving the current inputs under those names and moving the two or three assumptions you actually hold a view on. The distribution above draws each driver between the lowest and highest value across your scenarios, so three scenarios give it a real range; with one scenario it falls back to fixed bands.