Models
Sylph Industries LimitedBSE 511447IT - Services
0per 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 model0implied FY26 P/E 0.8× · EV/EBITDA 7.6×
Against CMP ₹0.21+70.1%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3177%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
01
52-week rangetraded range, a fact not a value
01

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow12
PV of terminal value40
Enterprise value52
less net debt(8)
less non-controlling interest0
add non-operating investments0
Equity value44
÷ 123.31 crore shares0
77% of the value sits after FY31. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

000000FY26: ₹(80) croreFY26FY27: ₹2 croreFY27FY28: ₹3 croreFY28FY29: ₹3 croreFY29FY30: ₹3 croreFY30FY31: ₹4 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%00001
10.50%00000
11.00%00000
11.50%00000
12.00%00000
The outlined cell is your model. Green figures sit above the CMP of ₹0.21; 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

P100P500P901
10th · 50th · 90th percentile, ₹ per share0 · 0 · 1
Draws below the CMP13%
Rank correlation with revenue growth0.66
Rank correlation with ebitda margin+0.66
Rank correlation with discount rate0.30
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
Revenue118128138149161174
growth %8.08.08.08.08.0
EBITDA7788910
margin %5.75.75.75.75.75.7
less depreciation(0)(0)(0)(0)(0)(0)
EBIT7788910
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT677899
add depreciation000000
less capex(1)(1)(0)(0)(0)(0)
less working-capital build(4)(4)(5)(5)(5)
Free cash flow to firm23334
Discount factor0.9490.8550.7700.6940.625
Present value22222
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 10, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT7788910
Interest at 2.7% on debt(0)(0)(0)(0)(0)
Profit before tax77899
Profit after tax877889
Dividends000000
Balance sheet, year end
Cash14691216
Working capital505459636874
Net block and other assets878787888888
Debt101010101010
Equity125132139147155165
Balance check0(0)(0)(0)00
Cash flow
From operations33344
Investing (capex)(1)(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash23334
Free cash flow to equity23334
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%5.7%11.00%5%070.1%
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.