Models
EXXARO TILES LIMITEDEXXAROConsumer Durables
1per 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 model1implied FY26 P/E 11.0× · EV/EBITDA 5.3×
Against CMP ₹6.3984.5%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3170%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
02
52-week rangetraded range, a fact not a value
610

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow40
PV of terminal value92
Enterprise value132
less net debt(88)
less non-controlling interest0
add non-operating investments0
Equity value44
÷ 44.74 crore shares1

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

000000FY22: ₹20 croreFY22FY23: ₹(41) croreFY23FY24: ₹(0) croreFY24FY25: ₹16 croreFY25FY26: ₹24 croreFY26FY27: ₹11 croreFY27FY28: ₹11 croreFY28FY29: ₹10 croreFY29FY30: ₹10 croreFY30FY31: ₹9 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%11222
10.50%11112
11.00%11111
11.50%11111
12.00%00111
The outlined cell is your model. Green figures sit above the CMP of ₹6.39; 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

P100P501P902
10th · 50th · 90th percentile, ₹ per share0 · 1 · 2
Draws below the CMP100%
Rank correlation with ebitda margin+0.85
Rank correlation with discount rate0.50
Rank correlation with revenue growth0.02
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
Revenue317302304305305305305305305
growth %(2.5)(4.9)0.80.20.00.00.00.00.0
EBITDA332522252525252525
margin %10.38.17.38.28.28.28.28.28.2
less depreciation(16)(9)(10)(10)(10)(10)(10)(10)(10)
EBIT171513151515151515
less tax on EBIT(4)(4)(4)(4)(4)(4)
NOPAT111111111111
add depreciation16910101010101010
less capex(64)(5)(7)(9)(9)(10)(10)(11)(12)
less working-capital build00000
Free cash flow to firm(41)(0)16111110109
Discount factor0.9490.8550.7700.6940.625
Present value119876
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 90, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT151515151515
Interest at 13.1% on debt(12)(12)(12)(12)(12)
Profit before tax33333
Profit after tax322222
Dividends000000
Balance sheet, year end
Cash25791011
Working capital170170170170170170
Net block and other assets316316316317318320
Debt909090909090
Equity280282285287289292
Balance check000000
Cash flow
From operations1212121212
Investing (capex)(9)(10)(10)(11)(12)
Financing (dividends)00000
Net change in cash32210
Free cash flow to equity32210
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 · editingDCF0%8.2%11.00%5%1(84.5)%
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.