Models
CAPILLARY TECHNO INDIA LCAPILLARYIT - Software
67per 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 model67implied FY26 P/E —× · EV/EBITDA 4.6×
Against CMP ₹460.1085.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3158%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
5591
52-week rangetraded range, a fact not a value
438799

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow226
PV of terminal value317
Enterprise value544
less net debt(9)
less non-controlling interest0
add non-operating investments0
Equity value535
÷ 7.95 crore shares67

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

0000000FY26: ₹111 croreFY26FY27: ₹77 croreFY27FY28: ₹68 croreFY28FY29: ₹58 croreFY29FY30: ₹45 croreFY30FY31: ₹31 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%6973788491
10.50%6568727783
11.00%6164677176
11.50%5860636670
12.00%5557606265
The outlined cell is your model. Green figures sit above the CMP of ₹460.10; 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

P1035P5066P9098
10th · 50th · 90th percentile, ₹ per share35 · 66 · 98
Draws below the CMP100%
Rank correlation with ebitda margin+0.97
Rank correlation with discount rate0.18
Rank correlation with revenue growth0.01
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
Revenue7357938579259991,079
growth %8.08.08.08.08.0
EBITDA118127137148160173
margin %16.016.016.016.016.016.0
less depreciation(75)(81)(87)(94)(102)(110)
EBIT434650545863
less tax on EBIT111112
NOPAT444751555964
add depreciation75818794102110
less capex(39)(43)(61)(82)(105)(132)
less working-capital build(9)(9)(10)(11)(12)
Free cash flow to firm7768584531
Discount factor0.9490.8550.7700.6940.625
Present value7358453119
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 45, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT434650545863
Interest at 12.2% on debt(5)(5)(5)(5)(5)
Profit before tax4144485357
Profit after tax524245495459
Dividends000000
Balance sheet, year end
Cash36107170222262287
Working capital106115124134145156
Net block and other assets1,1581,1201,0931,0811,0841,106
Debt454545454545
Equity1,0231,0651,1101,1601,2141,272
Balance check0(0)(0)(0)(0)(0)
Cash flow
From operations114124134145157
Investing (capex)(43)(61)(82)(105)(132)
Financing (dividends)00000
Net change in cash7163524025
Free cash flow to equity7163524025
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%16%11.00%5%67(85.4)%
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.