Models
VELLORA IMPACT LIMITEDBSE 531257Chemicals & Petrochemicals
94per 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 model94implied FY26 P/E 3.6× · EV/EBITDA 10.7×
Against CMP ₹10.71+775.3%close of 2026-09-10
Growth the CMP implies(20.0)%revenue, a year for 5 years, on your other inputs
Value after FY3172%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
74134
52-week rangetraded range, a fact not a value
1128

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow14
PV of terminal value38
Enterprise value52
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value52
÷ 0.56 crore shares94

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

0000000FY20FY22: ₹(0) croreFY22FY23: ₹(2) croreFY23FY24: ₹(0) croreFY24FY25: ₹(0) croreFY25FY26: ₹4 croreFY26FY27: ₹4 croreFY27FY28: ₹4 croreFY28FY29: ₹4 croreFY29FY30: ₹4 croreFY30FY31: ₹4 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%97104112122134
10.50%9095102110120
11.00%838894100108
11.50%7882879299
12.00%7477818691
The outlined cell is your model. Green figures sit above the CMP of ₹10.71; 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

P1080P5094P90110
10th · 50th · 90th percentile, ₹ per share80 · 94 · 110
Draws below the CMP0%
Rank correlation with discount rate0.75
Rank correlation with ebitda margin+0.64
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
Revenue10106544444
growth %(40.8)5.8(41.2)(22.9)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA01(7)554444
margin %4.46.8(118.2)104.9104.9104.9104.9104.9104.9
less depreciation(0)(0)(0)(0)(0)(0)(0)(0)(0)
EBIT00(8)554444
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT544444
add depreciation000000000
less capex(0)(0)(0)(1)(1)(1)(0)(0)(0)
less working-capital build00000
Free cash flow to firm(2)(0)(0)44444
Discount factor0.9490.8550.7700.6940.625
Present value43332
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

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT554444
Interest at 8.3% on debt(0)(0)(0)(0)(0)
Profit before tax54444
Profit after tax544444
Dividends000000
Balance sheet, year end
Cash048121519
Working capital(1)(1)(1)(1)(1)(1)
Net block and other assets233444
Debt000000
Equity159131721
Balance check0000(0)(0)
Cash flow
From operations44444
Investing (capex)(1)(1)(0)(0)(0)
Financing (dividends)00000
Net change in cash44444
Free cash flow to equity44444
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%104.9%11.00%5%94775.3%
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.