Models
VAXTEX COTFAB LIMITEDVCLTextiles & Apparels
2per 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 model2implied FY26 P/E 5.9× · EV/EBITDA 19.1×
Against CMP ₹1.65+3.2%close of 2026-09-10
Growth the CMP implies14.6%revenue, a year for 5 years, on your other inputs
Value after FY3181%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
13
52-week rangetraded range, a fact not a value
13

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow7
PV of terminal value30
Enterprise value36
less net debt(5)
less non-controlling interest0
add non-operating investments0
Equity value31
÷ 18.38 crore shares2
81% 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

00000FY22: ₹2 croreFY22FY24: ₹(13) croreFY24FY25: ₹1 croreFY25FY26: ₹(2) croreFY26FY27: ₹1 croreFY27FY28: ₹1 croreFY28FY29: ₹2 croreFY29FY30: ₹2 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%22223
10.50%22222
11.00%12222
11.50%11222
12.00%11122
The outlined cell is your model. Green figures sit above the CMP of ₹1.65; 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

P101P502P902
10th · 50th · 90th percentile, ₹ per share1 · 2 · 2
Draws below the CMP49%
Rank correlation with ebitda margin+0.88
Rank correlation with discount rate0.38
Rank correlation with revenue growth0.18
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
₹ croreFY22FY24FY25FY26FY27FY28FY29FY30FY31
Revenue62175111519253241
growth %(73.2)(68.4)112.630.030.030.030.030.0
EBITDA3(9)(1)223457
margin %4.9(55.0)(9.5)17.017.017.017.017.017.0
less depreciation(0)(0)(0)(0)(0)(0)(0)(0)(0)
EBIT3(9)(1)223457
less tax on EBIT000001
NOPAT233568
add depreciation000000000
less capex(0)0000(0)(0)(0)(0)
less working-capital build(2)(2)(3)(4)(5)
Free cash flow to firm2(13)111223
Discount factor0.9490.8550.7700.6940.625
Present value11122
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 5, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT223457
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax23457
Profit after tax623457
Dividends000000
Balance sheet, year end
Cash011347
Working capital679121621
Net block and other assets313131313131
Debt555555
Equity222528323744
Balance check0(0)0(0)(0)0
Cash flow
From operations11122
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash11122
Free cash flow to equity11122
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 · editingDCF30%17%11.00%5%23.2%
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.