Models
PASHUPATI COTSPIN LIMITEDPASHUPATITextiles & Apparels
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 FY26 P/E 0.0× · EV/EBITDA 3.7×
Against CMP ₹80.56100.0%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3156%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
(1)2
52-week rangetraded range, a fact not a value
67118

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow42
PV of terminal value54
Enterprise value97
less net debt(96)
less non-controlling interest0
add non-operating investments0
Equity value1
÷ 15.78 crore shares0

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

00000FY25: ₹13 croreFY25FY26: ₹37 croreFY26FY27: ₹15 croreFY27FY28: ₹13 croreFY28FY29: ₹11 croreFY29FY30: ₹8 croreFY30FY31: ₹5 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%01112
10.50%(0)0011
11.00%(0)(0)001
11.50%(1)(1)(0)(0)0
12.00%(1)(1)(1)(0)(0)
The outlined cell is your model. Green figures sit above the CMP of ₹80.56; 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(3)P500P903
10th · 50th · 90th percentile, ₹ per share(3) · 0 · 3
Draws below the CMP100%
Rank correlation with ebitda margin+0.82
Rank correlation with revenue growth0.53
Rank correlation with discount rate0.18
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue6376887438028669361,011
growth %7.98.08.08.08.08.0
EBITDA26262830333638
margin %4.13.83.83.83.83.83.8
less depreciation(9)(9)(10)(10)(11)(12)(13)
EBIT17171920222325
less tax on EBIT(5)(6)(6)(7)(7)(8)
NOPAT121314151617
add depreciation991010111213
less capex(1)(1)(1)(4)(7)(11)(16)
less working-capital build(7)(8)(8)(9)(10)
Free cash flow to firm1315131185
Discount factor0.9490.8550.7700.6940.625
Present value1411863
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 98, dividends at 7.6% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT171920222325
Interest at 10.9% on debt(11)(11)(11)(11)(11)
Profit before tax89111315
Profit after tax10568910
Dividends(1)(0)(0)(1)(1)(1)
Balance sheet, year end
Cash2914171714
Working capital8895103111120130
Net block and other assets216208201197196198
Debt989898989898
Equity164169175182190200
Balance check000(0)(0)(0)
Cash flow
From operations89111214
Investing (capex)(1)(4)(7)(11)(16)
Financing (dividends)(0)(0)(1)(1)(1)
Net change in cash7530(3)
Free cash flow to equity7631(2)
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 · editingDCF8%3.8%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.