Models
Veer Global InfraconstructionBSE 543241Realty
-16per 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 model(16)implied FY21 P/E —× · EV/EBITDA (89.9)×
Against CMP ₹142.35111.1%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY26share 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
(23)(12)
52-week rangetraded range, a fact not a value
72155

From enterprise to equity · ₹ crore

PV of FY22FY26 free cash flow(6)
PV of terminal value(19)
Enterprise value(25)
less net debt(1)
less non-controlling interest0
add non-operating investments0
Equity value(26)
÷ 1.62 crore shares(16)

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

0000000FY21: ₹(6) croreFY21FY22: ₹(1) croreFY22FY23: ₹(1) croreFY23FY24: ₹(2) croreFY24FY25: ₹(2) croreFY25FY26: ₹(2) croreFY26
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%(16)(17)(19)(20)(23)
10.50%(15)(16)(17)(19)(20)
11.00%(14)(15)(16)(17)(18)
11.50%(13)(14)(15)(16)(17)
12.00%(12)(13)(14)(14)(15)
The outlined cell is your model. Green figures sit above the CMP of ₹142.35; 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

P10(22)P50(16)P90(11)
10th · 50th · 90th percentile, ₹ per share(22) · (16) · (11)
Draws below the CMP100%
Rank correlation with revenue growth0.94
Rank correlation with discount rate+0.32
Rank correlation with ebitda margin+0.06
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
₹ croreFY21FY22FY23FY24FY25FY26
Revenue131415161819
growth %8.08.08.08.08.0
EBITDA000000
margin %2.12.12.12.12.12.1
less depreciation(0)00000
EBIT000000
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT000000
add depreciation000000
less capex000000
less working-capital build(2)(2)(2)(2)(2)
Free cash flow to firm(1)(1)(2)(2)(2)
Discount factor0.9490.8550.7700.6940.625
Present value(1)(1)(1)(1)(1)
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 1, dividends at 0% of profit

₹ croreFY21FY22FY23FY24FY25FY26
Income statement
EBIT000000
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax00000
Profit after tax000000
Dividends(0)00000
Balance sheet, year end
Cash0(1)(3)(4)(6)(8)
Working capital192022242628
Net block and other assets161616161616
Debt111111
Equity151515161616
Balance check0(0)000(0)
Cash flow
From operations(1)(2)(2)(2)(2)
Investing (capex)00000
Financing (dividends)00000
Net change in cash(1)(2)(2)(2)(2)
Free cash flow to equity(1)(2)(2)(2)(2)
Other liabilities are held at their FY21 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%2.1%11.00%5%(16)(111.1)%
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.