Models
ENKEI WHEELS (INDIA) LTD.ENKEIWHELAuto Components
100per 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 model100implied FY19 P/E 12.4× · EV/EBITDA 5.9×
Against CMP ₹399.0575.0%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2455%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
78142

From enterprise to equity · ₹ crore

PV of FY20FY24 free cash flow104
PV of terminal value127
Enterprise value231
less net debt(52)
less non-controlling interest0
add non-operating investments0
Equity value179
÷ 1.80 crore shares100

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

00000FY19FY20: ₹37 croreFY20FY21: ₹32 croreFY21FY22: ₹27 croreFY22FY23: ₹20 croreFY23FY24: ₹12 croreFY24
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%103110119129142
10.50%96101108117127
11.00%8994100106115
11.50%83879298105
12.00%7882869196
The outlined cell is your model. Green figures sit above the CMP of ₹399.05; 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

P1057P5098P90142
10th · 50th · 90th percentile, ₹ per share57 · 98 · 142
Draws below the CMP100%
Rank correlation with ebitda margin+0.96
Rank correlation with discount rate0.25
Rank correlation with revenue growth0.04
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
₹ croreFY19FY20FY21FY22FY23FY24
Revenue474512553598646697
growth %8.08.08.08.08.0
EBITDA394245495357
margin %8.28.28.28.28.28.2
less depreciation(21)(23)(25)(27)(29)(31)
EBIT181920222426
less tax on EBIT(1)(1)(1)(2)(2)(2)
NOPAT171819212224
add depreciation212325272931
less capex00(7)(16)(26)(38)
less working-capital build(4)(4)(5)(5)(6)
Free cash flow to firm3732272012
Discount factor0.9490.8550.7700.6940.625
Present value352720148
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 72, dividends at 0% of profit

₹ croreFY19FY20FY21FY22FY23FY24
Income statement
EBIT181920222426
Interest at 7.7% on debt(6)(6)(6)(6)(6)
Profit before tax1315171820
Profit after tax131214151719
Dividends000000
Balance sheet, year end
Cash205279100115122
Working capital515559646974
Net block and other assets262239221210207214
Debt727272727272
Equity129142155171188207
Balance check0000(0)0
Cash flow
From operations3134384145
Investing (capex)0(7)(16)(26)(38)
Financing (dividends)00000
Net change in cash312721157
Free cash flow to equity312721157
Other liabilities are held at their FY19 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%8.2%11.00%5%100(75.0)%
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.