Models
METAL COATINGS (INDIA) LTD.BSE 531810Industrial Products
55per 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 model55implied FY26 P/E 15.8× · EV/EBITDA 14.9×
Against CMP ₹49.90+11.1%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3168%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
4380
52-week rangetraded range, a fact not a value
4579

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow14
PV of terminal value30
Enterprise value44
less net debt(3)
less non-controlling interest0
add non-operating investments0
Equity value41
÷ 0.73 crore shares55

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

00000FY21: ₹(4) croreFY21FY22: ₹(6) croreFY22FY23: ₹10 croreFY23FY24: ₹2 croreFY24FY25: ₹5 croreFY25FY26: ₹(1) croreFY26FY27: ₹4 croreFY27FY28: ₹4 croreFY28FY29: ₹3 croreFY29FY30: ₹3 croreFY30FY31: ₹3 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%5761667280
10.50%5356606571
11.00%4952555964
11.50%4649515558
12.00%4345485154
The outlined cell is your model. Green figures sit above the CMP of ₹49.90; 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

P1049P5055P9064
10th · 50th · 90th percentile, ₹ per share49 · 55 · 64
Draws below the CMP15%
Rank correlation with discount rate0.89
Rank correlation with ebitda margin+0.44
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
Revenue170168160149142134128121115
growth %19.8(1.2)(4.8)(7.0)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA435333322
margin %2.21.93.32.02.02.02.02.02.0
less depreciation(0)(1)(1)(1)(1)(1)(1)(0)(0)
EBIT335222222
less tax on EBIT(1)(1)(1)(1)(0)(0)
NOPAT222211
add depreciation011111100
less capex(1)(1)(1)(0)0(0)(0)(0)(1)
less working-capital build22222
Free cash flow to firm102544333
Discount factor0.9490.8550.7700.6940.625
Present value43322
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 4, dividends at 30.5% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT222222
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax22222
Profit after tax211111
Dividends(1)(0)(0)(0)(0)(0)
Balance sheet, year end
Cash047101215
Working capital383735333130
Net block and other assets181717171717
Debt444444
Equity444546474849
Balance check00(0)(0)(0)(0)
Cash flow
From operations44433
Investing (capex)0(0)(0)(0)(1)
Financing (dividends)(0)(0)(0)(0)(0)
Net change in cash43332
Free cash flow to equity44333
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%2%11.00%5%5511.1%
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.