Models
A B COTSPIN INDIA LIMITEDABCOTSTextiles & Apparels
53per 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 model53implied FY26 P/E 8.3× · EV/EBITDA 6.7×
Against CMP ₹202.3573.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3163%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
3198
52-week rangetraded range, a fact not a value
197504

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow99
PV of terminal value167
Enterprise value266
less net debt(147)
less non-controlling interest0
add non-operating investments0
Equity value119
÷ 2.22 crore shares53

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

0000000FY25: ₹(19) croreFY25FY26: ₹34 croreFY26FY27: ₹33 croreFY27FY28: ₹29 croreFY28FY29: ₹24 croreFY29FY30: ₹20 croreFY30FY31: ₹16 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%5765748598
10.50%4955637182
11.00%4247536169
11.50%3641465259
12.00%3135394450
The outlined cell is your model. Green figures sit above the CMP of ₹202.35; 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

P1032P5054P9078
10th · 50th · 90th percentile, ₹ per share32 · 54 · 78
Draws below the CMP100%
Rank correlation with ebitda margin+0.83
Rank correlation with discount rate0.54
Rank correlation with revenue growth0.02
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
Revenue298299299299299299299
growth %0.20.00.00.00.00.0
EBITDA30404040404040
margin %10.113.313.313.313.313.313.3
less depreciation(9)(14)(14)(14)(14)(14)(14)
EBIT21262626262626
less tax on EBIT(7)(7)(7)(7)(7)(7)
NOPAT191919191919
add depreciation9141414141414
less capex(2)00(4)(8)(13)(17)
less working-capital build00000
Free cash flow to firm(19)3329242016
Discount factor0.9490.8550.7700.6940.625
Present value3125191410
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 147, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT262626262626
Interest at 6.9% on debt(10)(10)(10)(10)(10)
Profit before tax1616161616
Profit after tax131111111111
Dividends000000
Balance sheet, year end
Cash02547647785
Working capital134134134134134134
Net block and other assets179165155149148150
Debt147147147147147147
Equity153165176188199210
Balance check0(0)000(0)
Cash flow
From operations2525252525
Investing (capex)0(4)(8)(13)(17)
Financing (dividends)00000
Net change in cash252117139
Free cash flow to equity252117139
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 · editingDCF0%13.3%11.00%5%53(73.6)%
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.