Models
MEDISTEP HEALTHCARE LTDMEDISTEP
40per 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 model40implied FY26 P/E —× · EV/EBITDA 7.4×
Against CMP ₹22.50+75.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3176%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
3059
52-week rangetraded range, a fact not a value
1736

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow15
PV of terminal value46
Enterprise value61
less net debt(5)
less non-controlling interest0
add non-operating investments0
Equity value56
÷ 1.42 crore shares40
76% 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: ₹(19) croreFY26FY27: ₹3 croreFY27FY28: ₹4 croreFY28FY29: ₹4 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%4144485359
10.50%3840434752
11.00%3537404346
11.50%3234363942
12.00%3031333638
The outlined cell is your model. Green figures sit above the CMP of ₹22.50; 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

P1027P5039P9051
10th · 50th · 90th percentile, ₹ per share27 · 39 · 51
Draws below the CMP3%
Rank correlation with ebitda margin+0.71
Rank correlation with revenue growth0.54
Rank correlation with discount rate0.40
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
Revenue7176838996104
growth %8.08.08.08.08.0
EBITDA8910101112
margin %11.611.611.611.611.611.6
less depreciation(0)00000
EBIT8910101112
less tax on EBIT(2)(2)(2)(3)(3)(3)
NOPAT677889
add depreciation000000
less capex(0)00000
less working-capital build(3)(4)(4)(4)(5)
Free cash flow to firm34444
Discount factor0.9490.8550.7700.6940.625
Present value33333
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 5, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT8910101112
Interest at 4.8% on debt(0)(0)(0)(0)(0)
Profit before tax99101112
Profit after tax667889
Dividends000000
Balance sheet, year end
Cash147111519
Working capital424549535762
Net block and other assets888888
Debt555555
Equity384451596776
Balance check0(0)(0)(0)0(0)
Cash flow
From operations33444
Investing (capex)00000
Financing (dividends)00000
Net change in cash33444
Free cash flow to equity33444
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%11.6%11.00%5%4075.6%
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.