Models
H.P.COTTON TEXTILE MILLS LTD.BSE 502873Textiles & Apparels
107per 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 model107implied FY26 P/E 13.4× · EV/EBITDA 6.6×
Against CMP ₹93.10+14.9%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3167%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
68185
52-week rangetraded range, a fact not a value
91132

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow25
PV of terminal value52
Enterprise value77
less net debt(35)
less non-controlling interest0
add non-operating investments0
Equity value42
÷ 0.39 crore shares107

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

00000FY23: ₹(1) croreFY23FY24: ₹12 croreFY24FY25: ₹6 croreFY25FY26: ₹7 croreFY26FY27: ₹8 croreFY27FY28: ₹7 croreFY28FY29: ₹6 croreFY29FY30: ₹6 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%113126142161185
10.50%99110123138157
11.00%8796107120135
11.50%778594104117
12.00%68748291101
The outlined cell is your model. Green figures sit above the CMP of ₹93.10; 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

P1070P50106P90146
10th · 50th · 90th percentile, ₹ per share70 · 106 · 146
Draws below the CMP33%
Rank correlation with ebitda margin+0.82
Rank correlation with discount rate0.53
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
Revenue8494128132135138142145149
growth %11.436.92.62.52.52.52.52.5
EBITDA(12)412121212131313
margin %(13.8)4.59.78.98.98.98.98.98.9
less depreciation(4)(4)(3)(3)(3)(3)(4)(4)(4)
EBIT(16)198999910
less tax on EBIT(3)(3)(3)(3)(3)(3)
NOPAT666666
add depreciation443333444
less capex(1)(0)(2)(1)(1)(2)(3)(4)(4)
less working-capital build(1)(1)(1)(1)(1)
Free cash flow to firm(1)12687665
Discount factor0.9490.8550.7700.6940.625
Present value76543
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 35, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT8999910
Interest at 18.4% on debt(6)(6)(6)(6)(6)
Profit before tax22333
Profit after tax312222
Dividends000000
Balance sheet, year end
Cash0368910
Working capital242425262627
Net block and other assets706766656565
Debt353535353535
Equity192122242628
Balance check000(0)00
Cash flow
From operations44555
Investing (capex)(1)(2)(3)(4)(4)
Financing (dividends)00000
Net change in cash33211
Free cash flow to equity33211
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 · editingDCF2.5%8.9%11.00%5%10714.9%
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.