Models
APOLLO TECHNO INDUSTRIES LIMITBSE 544671Industrial Manufacturing
63per 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 model63implied FY26 P/E —× · EV/EBITDA 7.5×
Against CMP ₹90.0030.5%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3177%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
4598
52-week rangetraded range, a fact not a value
77156

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow24
PV of terminal value82
Enterprise value107
less net debt(21)
less non-controlling interest0
add non-operating investments0
Equity value86
÷ 1.37 crore shares63
77% of the value sits after FY31. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

000000FY26: ₹(32) croreFY26FY27: ₹5 croreFY27FY28: ₹6 croreFY28FY29: ₹6 croreFY29FY30: ₹7 croreFY30FY31: ₹8 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%6571788798
10.50%5964707785
11.00%5458636875
11.50%4952576167
12.00%4548515560
The outlined cell is your model. Green figures sit above the CMP of ₹90.00; 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

P1038P5062P9085
10th · 50th · 90th percentile, ₹ per share38 · 62 · 85
Draws below the CMP93%
Rank correlation with ebitda margin+0.74
Rank correlation with revenue growth0.53
Rank correlation with discount rate0.37
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
Revenue110119129139150162
growth %8.08.08.08.08.0
EBITDA141517181921
margin %12.912.912.912.912.912.9
less depreciation(1)(1)(1)(1)(1)(1)
EBIT131415171819
less tax on EBIT(2)(2)(2)(3)(3)(3)
NOPAT111213141516
add depreciation111111
less capex(2)(2)(2)(2)(2)(2)
less working-capital build(6)(7)(7)(8)(8)
Free cash flow to firm56678
Discount factor0.9490.8550.7700.6940.625
Present value55555
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 24, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT131415171819
Interest at 9.6% on debt(2)(2)(2)(2)(2)
Profit before tax1213141617
Profit after tax01011121315
Dividends000000
Balance sheet, year end
Cash4710152026
Working capital76828996103112
Net block and other assets373839394040
Debt242424242424
Equity7888100112125140
Balance check00(0)000
Cash flow
From operations56678
Investing (capex)(2)(2)(2)(2)(2)
Financing (dividends)00000
Net change in cash34456
Free cash flow to equity34456
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%12.9%11.00%5%63(30.5)%
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.