Models
GOTHI PLASCON (INDIA) LTD.BSE 531111Consumer Durables
₹43per 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 model₹43implied FY26 P/E 19.0× · EV/EBITDA 14.3×
Against CMP ₹39.01+9.4%close of 8 Oct 2026
Growth the CMP implies9.8%revenue, a year for 5 years, on your other inputs
Value after FY3175%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
₹33₹62
52-week rangetraded range, a fact not a value
₹33₹47

From enterprise to equity · ₹ crore

PV of FY27–FY31 free cash flow11
PV of terminal value33
Enterprise value45
less net debt(1)
less non-controlling interest0
add non-operating investments0
Equity value44
÷ 1.02 crore shares₹43

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

000000FY21: ₹1 croreFY21FY22: ₹1 croreFY22FY23: ₹2 croreFY23FY24: ₹2 croreFY24FY25: ₹(0) croreFY25FY26: ₹3 croreFY26FY27: ₹3 croreFY27FY28: ₹3 croreFY28FY29: ₹3 croreFY29FY30: ₹3 croreFY30FY31: ₹3 croreFY31
Filed, cash from operations − capexModelled free cash flow to firm

Sensitivity · ₹ per share

Down Across
WACC ↓terminal growth →4.0%4.5%5.0%5.5%6.0%
10.00%4447515662
10.50%4143475055
11.00%3840434650
11.50%3537394245
12.00%3335373941
The outlined cell is your model. Green figures sit above the CMP of ₹39.01; 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 ₹34P50 ₹42P90 ₹52
10th · 50th · 90th percentile, ₹ per share34 · 42 · 52
Draws below the CMP30%
Rank correlation with discount rate−0.57
Rank correlation with revenue growth+0.55
Rank correlation with ebitda margin+0.55
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
Revenue444556789
growth %8.02.9(0.2)11.812.012.012.012.012.0
EBITDA323334456
margin %61.255.559.664.064.064.064.064.064.0
less depreciation(0)(0)(0)(0)(1)(1)(1)(1)(1)
EBIT222333445
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT222333
add depreciation000011111
less capex(0)0(3)(0)(0)(0)(0)(1)(1)
less working-capital build—(0)(0)(0)(0)(0)
Free cash flow to firm22(0)—33333
Discount factor0.9490.8550.7700.6940.625
Present value22222
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 1, dividends at 100% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT333445
Interest at 10.7% on debt(0)(0)(0)(0)(0)
Profit before tax33445
Profit after tax222333
Dividends(2)(2)(2)(3)(3)(3)
Balance sheet, year end
Cash011111
Working capital000000
Net block and other assets171716161616
Debt111111
Equity111111111111
Balance check0000(0)(0)
Cash flow
From operations33344
Investing (capex)(0)(0)(0)(1)(1)
Financing (dividends)(2)(2)(3)(3)(3)
Net change in cash0000(0)
Free cash flow to equity23333
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 · editingDCF12%64%11.00%5%₹439.4%
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.