Models
YOGI SUNG-WON (INDIA) LTD.BSE 522209Finance
4per 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 model4implied FY26 P/E 0.3× · EV/EBITDA 29.1×
Against CMP ₹6.6038.2%close of 2026-09-10
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
(4)19
52-week rangetraded range, a fact not a value
416

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow18
PV of terminal value43
Enterprise value61
less net debt(54)
less non-controlling interest0
add non-operating investments0
Equity value7
÷ 1.68 crore shares4

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

00000FY21: ₹5 croreFY21FY22: ₹38 croreFY22FY23: ₹34 croreFY23FY24: ₹(91) croreFY24FY25: ₹(256) croreFY25FY26: ₹31 croreFY26FY27: ₹5 croreFY27FY28: ₹5 croreFY28FY29: ₹5 croreFY29FY30: ₹4 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%58111519
10.50%3571014
11.00%02479
11.50%(2)(0)146
12.00%(4)(2)(1)13
The outlined cell is your model. Green figures sit above the CMP of ₹6.60; 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

P100P504P909
10th · 50th · 90th percentile, ₹ per share0 · 4 · 9
Draws below the CMP75%
Rank correlation with discount rate0.97
Rank correlation with ebitda margin+0.23
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
₹ croreFY23FY24FY25FY26FY27FY28FY29FY30FY31
Revenue0146214474543403837
growth %46.6(77.9)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA(1)1(2)222222
margin %0.7(0.7)4.44.44.44.44.44.4
less depreciation(0)(0)(0)(0)(0)(0)(0)(0)(0)
EBIT(1)1(2)222222
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT111111
add depreciation000000000
less capex(0)(0)(0)(0)(0)(0)(0)(0)(0)
less working-capital build43333
Free cash flow to firm34(91)(256)55544
Discount factor0.9490.8550.7700.6940.625
Present value54433
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 56, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT222222
Interest at 7.7% on debt(4)(4)(4)(4)(4)
Profit before tax(2)(3)(3)(3)(3)
Profit after tax(0)(2)(2)(2)(2)(2)
Dividends000000
Balance sheet, year end
Cash245789
Working capital747066636057
Net block and other assets100100100100100100
Debt565656565656
Equity454341393735
Balance check0(0)(0)(0)(0)(0)
Cash flow
From operations22111
Investing (capex)(0)(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash22111
Free cash flow to equity22111
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-5%4.4%11.00%5%4(38.2)%
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.