Models
VASHU BHAGNANI INDUSTRIES LIMIBSE 532011Entertainment
15per 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 model15implied FY26 P/E 12.4× · EV/EBITDA 84.1×
Against CMP ₹71.0078.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3170%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
1221
52-week rangetraded range, a fact not a value
47127

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow27
PV of terminal value63
Enterprise value90
less net debt7
less non-controlling interest0
add non-operating investments0
Equity value97
÷ 6.40 crore shares15

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

000000FY21: ₹(3) croreFY21FY22: ₹(5) croreFY22FY23: ₹(3) croreFY23FY24: ₹(38) croreFY24FY25: ₹(73) croreFY25FY26: ₹11 croreFY26FY27: ₹8 croreFY27FY28: ₹7 croreFY28FY29: ₹7 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%1617181921
10.50%1515161819
11.00%1414151617
11.50%1314141516
12.00%1213131415
The outlined cell is your model. Green figures sit above the CMP of ₹71.00; 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

P1014P5015P9017
10th · 50th · 90th percentile, ₹ per share14 · 15 · 17
Draws below the CMP100%
Rank correlation with discount rate1.00
Rank correlation with ebitda margin+0.09
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
Revenue475816141413121211
growth %90.124.6(72.5)(9.8)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA4126111111
margin %7.720.036.07.47.47.47.47.47.4
less depreciation(0)(0)(0)(0)(0)(0)(0)(0)(0)
EBIT4126111111
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT111111
add depreciation000000000
less capex(0)(39)000(0)(0)(0)(0)
less working-capital build76665
Free cash flow to firm(3)(38)(73)87766
Discount factor0.9490.8550.7700.6940.625
Present value76544
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 6, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111111
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax10000
Profit after tax300000
Dividends000000
Balance sheet, year end
Cash132027333945
Working capital134127121115109104
Net block and other assets707070707070
Debt666666
Equity148148149149149150
Balance check00(0)0(0)(0)
Cash flow
From operations77666
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash77666
Free cash flow to equity77666
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%7.4%11.00%5%15(78.6)%
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.