Models
SEASONS TEXTILES LTD.BSE 514264Textiles & Apparels
30per 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 model30implied FY26 P/E 104.7× · EV/EBITDA 12.3×
Against CMP ₹19.40+56.5%close of 2026-09-09
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3166%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
2052
52-week rangetraded range, a fact not a value
1424

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow14
PV of terminal value27
Enterprise value41
less net debt(18)
less non-controlling interest0
add non-operating investments0
Equity value23
÷ 0.75 crore shares30

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

000000FY21: ₹(2) croreFY21FY22: ₹2 croreFY22FY23: ₹3 croreFY23FY24: ₹2 croreFY24FY25: ₹5 croreFY25FY26: ₹4 croreFY26FY27: ₹5 croreFY27FY28: ₹4 croreFY28FY29: ₹3 croreFY29FY30: ₹3 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%3236404552
10.50%2831353944
11.00%2527303438
11.50%2224273033
12.00%2022242629
The outlined cell is your model. Green figures sit above the CMP of ₹19.40; 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

P1022P5030P9040
10th · 50th · 90th percentile, ₹ per share22 · 30 · 40
Draws below the CMP4%
Rank correlation with ebitda margin+0.72
Rank correlation with discount rate0.67
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
Revenue242627232221201918
growth %(10.1)11.13.1(14.7)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA443333333
margin %15.714.912.014.314.314.314.314.314.3
less depreciation(2)(2)(1)(1)(1)(1)(1)(1)(1)
EBIT222222222
less tax on EBIT110000
NOPAT332222
add depreciation221111111
less capex(3)(1)(1)(0)(0)(0)(1)(1)(1)
less working-capital build11111
Free cash flow to firm32554333
Discount factor0.9490.8550.7700.6940.625
Present value43322
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 20, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT222222
Interest at 9.9% on debt(2)(2)(2)(2)(2)
Profit before tax0(0)(0)(0)(0)
Profit after tax00(0)(0)(0)(0)
Dividends000000
Balance sheet, year end
Cash245677
Working capital171616151413
Net block and other assets403938373738
Debt202020202020
Equity353535353534
Balance check000000
Cash flow
From operations22211
Investing (capex)(0)(0)(1)(1)(1)
Financing (dividends)00000
Net change in cash21110
Free cash flow to equity21110
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 · editingDCF-5%14.3%11.00%5%3056.5%
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.