Models
LAXMI GOLDORNA HOUSE LTDLGHLConsumer Durables
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 —× · EV/EBITDA 6.3×
Against CMP ₹184.8595.7%close of 2026-09-10
Growth the CMP implies45.0%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
221
52-week rangetraded range, a fact not a value
168400

From enterprise to equity · ₹ crore

PV of FY26FY30 free cash flow35
PV of terminal value107
Enterprise value142
less net debt(102)
less non-controlling interest0
add non-operating investments0
Equity value40
÷ 5.01 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

00000000FY25: ₹(45) croreFY25FY26: ₹8 croreFY26FY27: ₹8 croreFY27FY28: ₹9 croreFY28FY29: ₹10 croreFY29FY30: ₹10 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%911141721
10.50%78111316
11.00%5681012
11.50%346810
12.00%23457
The outlined cell is your model. Green figures sit above the CMP of ₹184.85; 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(3)P508P9018
10th · 50th · 90th percentile, ₹ per share(3) · 8 · 18
Draws below the CMP100%
Rank correlation with revenue growth0.66
Rank correlation with ebitda margin+0.66
Rank correlation with discount rate0.31
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
Revenue8895102111119129
growth %8.08.08.08.08.0
EBITDA232426283133
margin %25.625.625.625.625.625.6
less depreciation(0)(0)(0)(0)(0)(0)
EBIT222426283033
less tax on EBIT(5)(6)(6)(7)(7)(8)
NOPAT171820212325
add depreciation000000
less capex(0)0(0)(0)(0)(0)
less working-capital build(11)(12)(12)(13)(14)
Free cash flow to firm8891010
Discount factor0.9490.8550.7700.6940.625
Present value77776
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 102, dividends at 0% of profit

₹ croreFY25FY26FY27FY28FY29FY30
Income statement
EBIT222426283033
Interest at 8.4% on debt(9)(9)(9)(9)(9)
Profit before tax1617202224
Profit after tax01213151718
Dividends000000
Balance sheet, year end
Cash0236913
Working capital133144155168181196
Net block and other assets474747474747
Debt102102102102102102
Equity657790105121140
Balance check000000
Cash flow
From operations12334
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash12234
Free cash flow to equity12234
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%25.6%11.00%5%8(95.7)%
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.