Models
ELITECON INTERNATIONAL LELITECONCigarettes & Tobacco Products
8per 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 model8implied FY25 P/E 1.7× · EV/EBITDA 17.5×
Against CMP ₹8.197.3%close of 2026-09-10
Growth the CMP implies10.7%revenue, a year for 5 years, on your other inputs
Value after FY3076%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
611
52-week rangetraded range, a fact not a value
746

From enterprise to equity · ₹ crore

PV of FY26FY30 free cash flow287
PV of terminal value924
Enterprise value1,211
less net debt2
less non-controlling interest0
add non-operating investments0
Equity value1,213
÷ 159.85 crore shares8
76% of the value sits after FY30. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

0000000FY25: ₹(5) croreFY25FY26: ₹62 croreFY26FY27: ₹68 croreFY27FY28: ₹74 croreFY28FY29: ₹81 croreFY29FY30: ₹89 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%8891011
10.50%788910
11.00%77889
11.50%67778
12.00%66777
The outlined cell is your model. Green figures sit above the CMP of ₹8.19; 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

P106P508P909
10th · 50th · 90th percentile, ₹ per share6 · 8 · 9
Draws below the CMP72%
Rank correlation with discount rate0.68
Rank correlation with ebitda margin+0.62
Rank correlation with revenue growth+0.30
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
Revenue549593640691747806
growth %8.08.08.08.08.0
EBITDA6975818794102
margin %12.612.612.612.612.612.6
less depreciation(2)(2)(2)(2)(2)(2)
EBIT677379859299
less tax on EBIT000000
NOPAT677379859299
add depreciation222222
less capex(5)(5)(5)(4)(4)(3)
less working-capital build(7)(8)(8)(9)(10)
Free cash flow to firm6268748189
Discount factor0.9490.8550.7700.6940.625
Present value5958575656
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 0, dividends at 0% of profit

₹ croreFY25FY26FY27FY28FY29FY30
Income statement
EBIT677379859299
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax7379859299
Profit after tax707379859299
Dividends000000
Balance sheet, year end
Cash365133207289378
Working capital9097105113122132
Net block and other assets158162165167169169
Debt000000
Equity160233312397489588
Balance check00(0)(0)(0)(0)
Cash flow
From operations6873798592
Investing (capex)(5)(5)(4)(4)(3)
Financing (dividends)00000
Net change in cash6268748189
Free cash flow to equity6268748189
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%12.6%11.00%5%8(7.3)%
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.