Models
NEO INFRACON LTD.BSE 514332Realty
14per 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 model14implied FY26 P/E 4.4× · EV/EBITDA 16.1×
Against CMP ₹46.3970.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3169%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
531
52-week rangetraded range, a fact not a value
3255

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow7
PV of terminal value16
Enterprise value23
less net debt(16)
less non-controlling interest0
add non-operating investments0
Equity value7
÷ 0.53 crore shares14

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

00000FY21: ₹8 croreFY21FY22: ₹6 croreFY22FY23: ₹2 croreFY23FY24FY25: ₹2 croreFY25FY26: ₹1 croreFY26FY27: ₹2 croreFY27FY28: ₹2 croreFY28FY29: ₹2 croreFY29FY30: ₹2 croreFY30FY31: ₹2 croreFY31
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%1518222631
10.50%1214172125
11.00%911141720
11.50%79111316
12.00%5681012
The outlined cell is your model. Green figures sit above the CMP of ₹46.39; 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

P109P5014P9020
10th · 50th · 90th percentile, ₹ per share9 · 14 · 20
Draws below the CMP100%
Rank correlation with discount rate0.89
Rank correlation with ebitda margin+0.43
Rank correlation with revenue growth0.03
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
₹ croreFY23FY24FY25FY26FY27FY28FY29FY30FY31
Revenue6410887776
growth %51.4(40.5)167.6(21.9)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA(1)1111111
margin %(10.9)14.518.018.018.018.018.018.0
less depreciation(0)(0)(0)(0)(0)(0)(0)(0)
EBIT(1)1111111
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT111111
add depreciation00000000
less capex(1)000(0)(0)(0)(0)
less working-capital build11111
Free cash flow to firm2222222
Discount factor0.9490.8550.7700.6940.625
Present value22111
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 16, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111111
Interest at 7.1% on debt(1)(1)(1)(1)(1)
Profit before tax0(0)(0)(0)(0)
Profit after tax00(0)(0)(0)(0)
Dividends000000
Balance sheet, year end
Cash023445
Working capital201918171615
Net block and other assets121212121212
Debt161616161616
Equity888877
Balance check00(0)0(0)(0)
Cash flow
From operations11111
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash11111
Free cash flow to equity11111
Other liabilities are held at their FY26 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 · editingDCF-5%18%11.00%5%14(70.6)%
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.