Models
Supershakti Metaliks LimitedBSE 541701Industrial Products
44per 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 model44implied FY26 P/E —× · EV/EBITDA 4.1×
Against CMP ₹290.9584.9%close of 2026-09-02
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3165%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
3759
52-week rangetraded range, a fact not a value
180470

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow15
PV of terminal value28
Enterprise value44
less net debt7
less non-controlling interest0
add non-operating investments0
Equity value51
÷ 1.15 crore shares44

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

0000000FY25: ₹46 croreFY25FY26: ₹(8) croreFY26FY27: ₹5 croreFY27FY28: ₹4 croreFY28FY29: ₹4 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%4548505459
10.50%4244475053
11.00%4042444649
11.50%3840414346
12.00%3738394143
The outlined cell is your model. Green figures sit above the CMP of ₹290.95; 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

P1035P5044P9053
10th · 50th · 90th percentile, ₹ per share35 · 44 · 53
Draws below the CMP100%
Rank correlation with ebitda margin+0.88
Rank correlation with discount rate0.44
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue737705673643614586560
growth %(4.3)(4.5)(4.5)(4.5)(4.5)(4.5)
EBITDA17111010998
margin %2.31.51.51.51.51.51.5
less depreciation(5)(5)(5)(5)(4)(4)(4)
EBIT12655554
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT444433
add depreciation5555444
less capex(3)(4)(4)(4)(4)(5)(5)
less working-capital build00000
Free cash flow to firm4654433
Discount factor0.9490.8550.7700.6940.625
Present value54322
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 3% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT655554
Interest at 17% on debt(0)(0)(0)(0)(0)
Profit before tax55554
Profit after tax1944433
Dividends(1)(0)(0)(0)(0)(0)
Balance sheet, year end
Cash71216202326
Working capital555544
Net block and other assets327326326326326327
Debt000000
Equity297301305308312315
Balance check000000
Cash flow
From operations99887
Investing (capex)(4)(4)(4)(5)(5)
Financing (dividends)(0)(0)(0)(0)(0)
Net change in cash54433
Free cash flow to equity54433
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-4.5%1.5%11.00%5%44(84.9)%
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.