Models
FIBERWEB INDIA LIMITEDFIBERWEBTextiles & Apparels
50per 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 model50implied FY22 P/E 23.6× · EV/EBITDA 9.6×
Against CMP ₹27.00+85.3%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2774%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
3972
52-week rangetraded range, a fact not a value
2550

From enterprise to equity · ₹ crore

PV of FY23FY27 free cash flow38
PV of terminal value106
Enterprise value144
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value144
÷ 2.88 crore shares50

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

0000000FY19FY20FY21: ₹12 croreFY21FY22: ₹3 croreFY22FY23: ₹9 croreFY23FY24: ₹10 croreFY24FY25: ₹10 croreFY25FY26: ₹10 croreFY26FY27: ₹10 croreFY27
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%5255606572
10.50%4851545964
11.00%4447505458
11.50%4244464953
12.00%3941434648
The outlined cell is your model. Green figures sit above the CMP of ₹27.00; 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

P1043P5050P9059
10th · 50th · 90th percentile, ₹ per share43 · 50 · 59
Draws below the CMP0%
Rank correlation with discount rate0.78
Rank correlation with ebitda margin+0.61
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
₹ croreFY19FY20FY21FY22FY23FY24FY25FY26FY27
Revenue19798107959186827874
growth %(50.2)9.4(11.2)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA131722151414131212
margin %6.617.120.915.715.715.715.715.715.7
less depreciation(5)(5)(5)(2)(2)(2)(2)(2)(2)
EBIT81217131212111010
less tax on EBIT(2)(2)(2)(2)(2)(2)
NOPAT10109998
add depreciation555222222
less capex(10)(6)(6)(5)(4)(3)(2)
less working-capital build33332
Free cash flow to firm12910101010
Discount factor0.9490.8550.7700.6940.625
Present value98876
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 0, dividends at 0% of profit

₹ croreFY22FY23FY24FY25FY26FY27
Income statement
EBIT131212111010
Interest at 8% on debt00000
Profit before tax1212111010
Profit after tax11109998
Dividends000000
Balance sheet, year end
Cash01019293949
Working capital605754524947
Net block and other assets117121124126127127
Debt000000
Equity171181191200208216
Balance check000000
Cash flow
From operations1514141312
Investing (capex)(6)(5)(4)(3)(2)
Financing (dividends)00000
Net change in cash910101010
Free cash flow to equity910101010
Other liabilities are held at their FY22 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%15.7%11.00%5%5085.3%
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.