Models
ATV PROJECTS INDIA LTD.BSE 500028Industrial Manufacturing
13per 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 model13implied FY26 P/E 9.9× · EV/EBITDA 12.2×
Against CMP ₹25.3047.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3171%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
921
52-week rangetraded range, a fact not a value
2244

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow29
PV of terminal value71
Enterprise value100
less net debt(30)
less non-controlling interest0
add non-operating investments0
Equity value70
÷ 5.26 crore shares13

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

000000FY21: ₹(6) croreFY21FY22: ₹2 croreFY22FY23: ₹(3) croreFY23FY24: ₹6 croreFY24FY25: ₹5 croreFY25FY26: ₹11 croreFY26FY27: ₹8 croreFY27FY28: ₹8 croreFY28FY29: ₹7 croreFY29FY30: ₹7 croreFY30FY31: ₹7 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%1415171921
10.50%1214151618
11.00%1112131516
11.50%1011121314
12.00%910111213
The outlined cell is your model. Green figures sit above the CMP of ₹25.30; 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

P1011P5013P9017
10th · 50th · 90th percentile, ₹ per share11 · 13 · 17
Draws below the CMP100%
Rank correlation with discount rate0.76
Rank correlation with ebitda margin+0.63
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
Revenue486271686562605755
growth %47.128.714.7(4.1)(4.0)(4.0)(4.0)(4.0)(4.0)
EBITDA578888777
margin %10.212.110.912.112.112.112.112.112.1
less depreciation(1)(1)(1)(1)(1)(1)(1)(1)(1)
EBIT467776666
less tax on EBIT000000
NOPAT777666
add depreciation111111111
less capex(2)(1)(0)(1)(1)(1)(1)(1)(1)
less working-capital build11111
Free cash flow to firm(3)6588777
Discount factor0.9490.8550.7700.6940.625
Present value87654
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 36, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT776666
Interest at 8% on debt(3)(3)(3)(3)(3)
Profit before tax44333
Profit after tax744333
Dividends000000
Balance sheet, year end
Cash71217212529
Working capital363533323129
Net block and other assets227227227228228228
Debt363636363636
Equity213217221224227230
Balance check0(0)(0)(0)(0)0
Cash flow
From operations66655
Investing (capex)(1)(1)(1)(1)(1)
Financing (dividends)00000
Net change in cash55444
Free cash flow to equity55444
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-4%12.1%11.00%5%13(47.4)%
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.