Models
Avax Apparels and Ornaments LiBSE 544337Textiles & Apparels
64per 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 model64implied FY26 P/E —× · EV/EBITDA 12.0×
Against CMP ₹31.64+102.9%close of 2026-09-10
Growth the CMP implies(19.1)%revenue, a year for 5 years, on your other inputs
Value after FY3178%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
4896
52-week rangetraded range, a fact not a value
1455

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow13
PV of terminal value45
Enterprise value57
less net debt(4)
less non-controlling interest0
add non-operating investments0
Equity value53
÷ 0.83 crore shares64
78% of the value sits after FY31. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

000000FY25: ₹(1) croreFY25FY26: ₹(3) croreFY26FY27: ₹3 croreFY27FY28: ₹3 croreFY28FY29: ₹3 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%6772788696
10.50%6165717785
11.00%5660646976
11.50%5255596368
12.00%4851545862
The outlined cell is your model. Green figures sit above the CMP of ₹31.64; 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

P1048P5063P9081
10th · 50th · 90th percentile, ₹ per share48 · 63 · 81
Draws below the CMP0%
Rank correlation with ebitda margin+0.84
Rank correlation with discount rate0.48
Rank correlation with revenue growth+0.06
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
Revenue344250617489108
growth %20.921.021.021.021.021.0
EBITDA356781012
margin %7.711.511.511.511.511.511.5
less depreciation(0)(0)(0)(1)(1)(1)(1)
EBIT24568911
less tax on EBIT(1)(1)(2)(2)(3)(3)
NOPAT345678
add depreciation0001111
less capex000(0)(0)(1)(1)
less working-capital build(2)(2)(3)(3)(4)
Free cash flow to firm(1)33344
Discount factor0.9490.8550.7700.6940.625
Present value22333
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 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT4568911
Interest at 11.6% on debt(0)(0)(0)(0)(0)
Profit before tax567911
Profit after tax344568
Dividends000000
Balance sheet, year end
Cash13581216
Working capital81012151822
Net block and other assets655545
Debt444444
Equity101317232937
Balance check0(0)0000
Cash flow
From operations23345
Investing (capex)0(0)(0)(1)(1)
Financing (dividends)00000
Net change in cash23334
Free cash flow to equity23334
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 · editingDCF21%11.5%11.00%5%64102.9%
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.