Models
WARDWIZARD INNO & MOB LWARDINMOBIAutomobiles
3per 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 model3implied FY26 P/E 40.4× · EV/EBITDA 11.2×
Against CMP ₹5.7250.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3166%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
16

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow78
PV of terminal value155
Enterprise value233
less net debt(148)
less non-controlling interest0
add non-operating investments0
Equity value85
÷ 30.08 crore shares3

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

00000000FY19FY20FY23: ₹(35) croreFY23FY24: ₹(70) croreFY24FY25: ₹(90) croreFY25FY26: ₹8 croreFY26FY27: ₹25 croreFY27FY28: ₹22 croreFY28FY29: ₹19 croreFY29FY30: ₹17 croreFY30FY31: ₹15 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%34456
10.50%33345
11.00%22334
11.50%22233
12.00%12223
The outlined cell is your model. Green figures sit above the CMP of ₹5.72; 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

P102P503P904
10th · 50th · 90th percentile, ₹ per share2 · 3 · 4
Draws below the CMP100%
Rank correlation with discount rate0.85
Rank correlation with ebitda margin+0.51
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
Revenue239321305247235223212201191
growth %229195.634.5(5.1)(19.0)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA193237212019181716
margin %7.89.812.08.48.48.48.48.48.4
less depreciation(5)(7)(7)(6)(6)(5)(5)(5)(5)
EBIT142530151413131211
less tax on EBIT(5)(4)(4)(4)(4)(4)
NOPAT10109988
add depreciation577665555
less capex(17)(8)(21)(0)(0)(2)(3)(4)(6)
less working-capital build109988
Free cash flow to firm(35)(70)(90)2522191715
Discount factor0.9490.8550.7700.6940.625
Present value231915129
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 151, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT151413131211
Interest at 10.7% on debt(16)(16)(16)(16)(16)
Profit before tax(2)(3)(3)(4)(5)
Profit after tax0(1)(2)(2)(3)(3)
Dividends000000
Balance sheet, year end
Cash31728364246
Working capital197187178169161152
Net block and other assets192187183181181182
Debt151151151151151151
Equity150149147145142139
Balance check000000
Cash flow
From operations141312109
Investing (capex)(0)(2)(3)(4)(6)
Financing (dividends)00000
Net change in cash1411864
Free cash flow to equity1411864
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%8.4%11.00%5%3(50.6)%
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.