Models
INDIAN WOOD PRODUCTS CO LIWPPaper Forest & Jute Products
4per 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 model4implied FY26 P/E 5.4× · EV/EBITDA 5.8×
Against CMP ₹34.4089.5%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3173%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
110
52-week rangetraded range, a fact not a value
2839

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow24
PV of terminal value64
Enterprise value88
less net debt(65)
less non-controlling interest0
add non-operating investments0
Equity value23
÷ 6.40 crore shares4

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

000000FY21: ₹14 croreFY21FY22: ₹(1) croreFY22FY23: ₹8 croreFY23FY24: ₹8 croreFY24FY25: ₹9 croreFY25FY26: ₹18 croreFY26FY27: ₹6 croreFY27FY28: ₹6 croreFY28FY29: ₹6 croreFY29FY30: ₹6 croreFY30FY31: ₹6 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%456810
10.50%34567
11.00%23456
11.50%12334
12.00%11223
The outlined cell is your model. Green figures sit above the CMP of ₹34.40; 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

P101P504P907
10th · 50th · 90th percentile, ₹ per share1 · 4 · 7
Draws below the CMP100%
Rank correlation with ebitda margin+0.81
Rank correlation with discount rate0.54
Rank correlation with revenue growth0.12
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
Revenue182192226229231233235238240
growth %2.55.317.81.21.01.01.01.01.0
EBITDA101416151516161616
margin %5.67.47.06.76.76.76.76.76.7
less depreciation(3)(3)(3)(4)(4)(4)(4)(4)(4)
EBIT71112111212121212
less tax on EBIT(4)(4)(4)(4)(4)(4)
NOPAT788888
add depreciation333444444
less capex(3)(1)(3)(4)(4)(5)(5)(5)(5)
less working-capital build(1)(1)(1)(1)(1)
Free cash flow to firm88966666
Discount factor0.9490.8550.7700.6940.625
Present value65544
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 65, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111212121212
Interest at 9.3% on debt(6)(6)(6)(6)(6)
Profit before tax56666
Profit after tax044444
Dividends(1)00000
Balance sheet, year end
Cash13581012
Working capital818283848585
Net block and other assets446447447448449449
Debt656565656565
Equity363367370374378382
Balance check00(0)0(0)0
Cash flow
From operations77777
Investing (capex)(4)(5)(5)(5)(5)
Financing (dividends)00000
Net change in cash22222
Free cash flow to equity22222
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 · editingDCF1%6.7%11.00%5%4(89.5)%
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.