Models
SHYAM CENTURY FERROUS LTDSHYAMCENTFerrous Metals
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 FY20 P/E 1.4× · EV/EBITDA 28.3×
Against CMP ₹4.9581.5%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2551%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
11
52-week rangetraded range, a fact not a value
49

From enterprise to equity · ₹ crore

PV of FY21FY25 free cash flow9
PV of terminal value10
Enterprise value19
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value19
÷ 21.22 crore shares1

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

00000FY17FY19FY20FY21: ₹4 croreFY21FY22: ₹3 croreFY22FY23: ₹2 croreFY23FY24: ₹2 croreFY24FY25: ₹1 croreFY25
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%11111
10.50%11111
11.00%11111
11.50%11111
12.00%11111
The outlined cell is your model. Green figures sit above the CMP of ₹4.95; 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

P101P501P901
10th · 50th · 90th percentile, ₹ per share1 · 1 · 1
Draws below the CMP100%
Rank correlation with discount rate0.94
Rank correlation with ebitda margin+0.31
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
₹ croreFY17FY19FY20FY21FY22FY23FY24FY25
Revenue124133878379757168
growth %7.3(34.5)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA1918111111
margin %15.113.30.80.80.80.80.80.8
less depreciation(2)(3)(2)(2)(2)(2)(2)(2)
EBIT1615(2)(1)(1)(1)(1)(1)
less tax on EBIT000000
NOPAT(1)(1)(1)(1)(1)(1)
add depreciation23222222
less capex00(1)(1)(2)(2)
less working-capital build33222
Free cash flow to firm43221
Discount factor0.9490.8550.7700.6940.625
Present value43211
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 0% of profit

₹ croreFY20FY21FY22FY23FY24FY25
Income statement
EBIT(2)(1)(1)(1)(1)(1)
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax(2)(2)(1)(1)(1)
Profit after tax0(1)(1)(1)(1)(1)
Dividends000000
Balance sheet, year end
Cash258101213
Working capital545249474442
Net block and other assets112109108107107107
Debt111111
Equity152150149148147146
Balance check000000
Cash flow
From operations44333
Investing (capex)0(1)(1)(2)(2)
Financing (dividends)00000
Net change in cash43211
Free cash flow to equity43211
Other liabilities are held at their FY20 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%0.8%11.00%5%1(81.5)%
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.