Models
CAMEX LTD.BSE 524440Chemicals & Petrochemicals
0per 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 model0implied FY23 P/E —× · EV/EBITDA 0.1×
Against CMP ₹52.00100.0%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY28-2740%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
(0)0
52-week rangetraded range, a fact not a value
2654

From enterprise to equity · ₹ crore

PV of FY24FY28 free cash flow0
PV of terminal value(0)
Enterprise value0
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value0
÷ 1.02 crore shares0

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

00000FY19FY20FY21: ₹(15) croreFY21FY22: ₹1 croreFY22FY23FY24: ₹0 croreFY24FY25: ₹0 croreFY25FY26: ₹0 croreFY26FY27: ₹0 croreFY27FY28: ₹(0) croreFY28
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%0(0)(0)(0)(0)
10.50%00(0)(0)(0)
11.00%000(0)(0)
11.50%0000(0)
12.00%00000
The outlined cell is your model. Green figures sit above the CMP of ₹52.00; 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(0)P500P900
10th · 50th · 90th percentile, ₹ per share(0) · 0 · 0
Draws below the CMP100%
Rank correlation with ebitda margin+0.96
Rank correlation with discount rate+0.25
Rank correlation with revenue growth0.00
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
₹ croreFY20FY21FY22FY23FY24FY25FY26FY27FY28
Revenue132150179147139133126120114
growth %(10.4)13.819.4(18.1)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA436000000
margin %2.72.03.20.20.20.20.20.20.2
less depreciation(1)(1)(1)(0)(0)(0)(0)(0)(0)
EBIT225(0)00000
less tax on EBIT000000
NOPAT(0)00000
add depreciation111000000
less capex(0)(1)00(0)(0)(0)(0)
less working-capital build00000
Free cash flow to firm(15)10000(0)
Discount factor0.9490.8550.7700.6940.625
Present value0000(0)
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 0% of profit

₹ croreFY23FY24FY25FY26FY27FY28
Income statement
EBIT(0)00000
Interest at 8% on debt00000
Profit before tax00000
Profit after tax(0)00000
Dividends000000
Balance sheet, year end
Cash000111
Working capital000000
Net block and other assets0(0)(0)(1)(1)(1)
Debt000000
Equity000000
Balance check000000
Cash flow
From operations00000
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash0000(0)
Free cash flow to equity0000(0)
Other liabilities are held at their FY23 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%0.2%11.00%5%0(100.0)%
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.