Models
MARKOLINES PAVEMENT TEC LMARKOLINESConstruction
64per 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 model64implied FY26 P/E 5.3× · EV/EBITDA 5.7×
Against CMP ₹168.9161.8%close of 2026-09-21
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3175%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
42110
52-week rangetraded range, a fact not a value
132192

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow58
PV of terminal value170
Enterprise value227
less net debt(84)
less non-controlling interest0
add non-operating investments0
Equity value143
÷ 2.22 crore shares64

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

00000FY23FY24FY25: ₹(46) croreFY25FY26: ₹1 croreFY26FY27: ₹13 croreFY27FY28: ₹14 croreFY28FY29: ₹15 croreFY29FY30: ₹16 croreFY30FY31: ₹16 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%68758596110
10.50%6066748394
11.00%5358647281
11.50%4752576370
12.00%4246505561
The outlined cell is your model. Green figures sit above the CMP of ₹168.91; 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

P1018P5063P90104
10th · 50th · 90th percentile, ₹ per share18 · 63 · 104
Draws below the CMP100%
Rank correlation with ebitda margin+0.79
Rank correlation with revenue growth0.53
Rank correlation with discount rate0.26
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
Revenue312347307348396449510578656
growth %11.4(11.5)13.413.513.513.513.513.5
EBITDA404552596775
margin %11.511.511.511.511.511.5
less depreciation(7)(8)(9)(10)(12)(13)
EBIT333843485562
less tax on EBIT(8)(10)(11)(12)(14)(16)
NOPAT252832364147
add depreciation789101213
less capex(10)(5)(6)(8)(10)(13)(16)
less working-capital build(17)(19)(21)(24)(28)
Free cash flow to firm(46)1314151616
Discount factor0.9490.8550.7700.6940.625
Present value1312121110
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 86, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT333843485562
Interest at 7.4% on debt(6)(6)(6)(6)(6)
Profit before tax3136424956
Profit after tax02327313642
Dividends(3)00000
Balance sheet, year end
Cash21020304153
Working capital123140159180204232
Net block and other assets214212211211212215
Debt868686868686
Equity203226253284321362
Balance check0000(0)0
Cash flow
From operations1517202427
Investing (capex)(6)(8)(10)(13)(16)
Financing (dividends)00000
Net change in cash99101112
Free cash flow to equity99101112
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 · editingDCF13.5%11.5%11.00%5%64(61.8)%
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.