Models
DEEPAK BUILDERS & ENG I LDBEIL
14per 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 model14implied FY26 P/E 2.7× · EV/EBITDA 10.3×
Against CMP ₹7.20+96.6%close of 2026-09-21
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
1022
52-week rangetraded range, a fact not a value
519

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow252
PV of terminal value580
Enterprise value831
less net debt(172)
less non-controlling interest0
add non-operating investments0
Equity value659
÷ 46.58 crore shares14

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

000000FY25: ₹(143) croreFY25FY26: ₹(26) croreFY26FY27: ₹72 croreFY27FY28: ₹68 croreFY28FY29: ₹64 croreFY29FY30: ₹60 croreFY30FY31: ₹56 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%1516171922
10.50%1314161719
11.00%1213141517
11.50%1112131415
12.00%1011121314
The outlined cell is your model. Green figures sit above the CMP of ₹7.20; 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

P1012P5014P9017
10th · 50th · 90th percentile, ₹ per share12 · 14 · 17
Draws below the CMP0%
Rank correlation with discount rate0.81
Rank correlation with ebitda margin+0.57
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue582554529506483461440
growth %(4.7)(4.5)(4.5)(4.5)(4.5)(4.5)
EBITDA111817774706764
margin %19.014.614.614.614.614.614.6
less depreciation(7)(7)(7)(7)(6)(6)(6)
EBIT104747067646159
less tax on EBIT(19)(19)(18)(17)(16)(15)
NOPAT545250474543
add depreciation7777666
less capex(12)(3)(3)(4)(5)(6)(7)
less working-capital build1716151414
Free cash flow to firm(143)7268646056
Discount factor0.9490.8550.7700.6940.625
Present value6958494135
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 174, dividends at 11.7% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT747067646159
Interest at 16.8% on debt(29)(29)(29)(29)(29)
Profit before tax4138353229
Profit after tax403028262422
Dividends(5)(4)(3)(3)(3)(3)
Balance sheet, year end
Cash35093132167199
Working capital369353337322307293
Net block and other assets615611609608608609
Debt174174174174174174
Equity447474498521542561
Balance check0(0)00(0)(0)
Cash flow
From operations5450474441
Investing (capex)(3)(4)(5)(6)(7)
Financing (dividends)(4)(3)(3)(3)(3)
Net change in cash4743393532
Free cash flow to equity5146423834
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-4.5%14.6%11.00%5%1496.6%
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.