Models
AMAGI MEDIA LABS LIMITEDAMAGIIT - Services
19per 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 model19implied FY26 P/E —× · EV/EBITDA 2.8×
Against CMP ₹580.0096.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3172%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
1822
52-week rangetraded range, a fact not a value
310727

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow39
PV of terminal value100
Enterprise value139
less net debt283
less non-controlling interest0
add non-operating investments0
Equity value422
÷ 21.63 crore shares19

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

0000000FY26: ₹(32) croreFY26FY27: ₹10 croreFY27FY28: ₹10 croreFY28FY29: ₹10 croreFY29FY30: ₹10 croreFY30FY31: ₹10 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%2020212122
10.50%1920202121
11.00%1919192020
11.50%1819191920
12.00%1818191919
The outlined cell is your model. Green figures sit above the CMP of ₹580.00; 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

P1015P5019P9024
10th · 50th · 90th percentile, ₹ per share15 · 19 · 24
Draws below the CMP100%
Rank correlation with ebitda margin+0.85
Rank correlation with revenue growth0.49
Rank correlation with discount rate0.14
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
₹ croreFY26FY27FY28FY29FY30FY31
Revenue1,5061,6261,7561,8972,0482,212
growth %8.08.08.08.08.0
EBITDA505458636873
margin %3.33.33.33.33.33.3
less depreciation(22)(23)(25)(27)(29)(31)
EBIT293133363942
less tax on EBIT(5)(6)(6)(6)(7)(8)
NOPAT242527303235
add depreciation222325272931
less capex(23)(24)(27)(30)(33)(37)
less working-capital build(14)(15)(16)(17)(19)
Free cash flow to firm1010101010
Discount factor0.9490.8550.7700.6940.625
Present value99876
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

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT293133363942
Interest at 8% on debt00000
Profit before tax3133363942
Profit after tax722527303235
Dividends000000
Balance sheet, year end
Cash283293303313323332
Working capital172186201217234253
Net block and other assets1,8981,9001,9021,9061,9111,917
Debt000000
Equity1,7571,7821,8101,8391,8711,906
Balance check000(0)00
Cash flow
From operations3437404347
Investing (capex)(24)(27)(30)(33)(37)
Financing (dividends)00000
Net change in cash1010101010
Free cash flow to equity1010101010
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 · editingDCF8%3.3%11.00%5%19(96.6)%
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.