Models
PORWAL AUTO COMPONENTS LTD.BSE 532933Auto Components
24per 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 model24implied FY26 P/E 3.0× · EV/EBITDA 4.5×
Against CMP ₹52.3953.7%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3169%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
1836
52-week rangetraded range, a fact not a value
4271

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow13
PV of terminal value30
Enterprise value44
less net debt(7)
less non-controlling interest0
add non-operating investments0
Equity value37
÷ 1.51 crore shares24

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

000000FY21: ₹1 croreFY21FY22: ₹(4) croreFY22FY23: ₹2 croreFY23FY24: ₹6 croreFY24FY25: ₹(3) croreFY25FY26: ₹5 croreFY26FY27: ₹4 croreFY27FY28: ₹4 croreFY28FY29: ₹3 croreFY29FY30: ₹3 croreFY30FY31: ₹3 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%2527303336
10.50%2325272932
11.00%2123242629
11.50%2021222426
12.00%1819202223
The outlined cell is your model. Green figures sit above the CMP of ₹52.39; 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

P1016P5024P9033
10th · 50th · 90th percentile, ₹ per share16 · 24 · 33
Draws below the CMP100%
Rank correlation with ebitda margin+0.92
Rank correlation with discount rate0.34
Rank correlation with revenue growth0.09
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
Revenue141146140142144147149151153
growth %31.24.1(4.1)1.31.51.51.51.51.5
EBITDA8127101010101010
margin %5.48.45.16.86.86.86.86.86.8
less depreciation(6)(6)(5)(5)(5)(5)(5)(5)(5)
EBIT272555555
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT444444
add depreciation665555555
less capex(3)(3)(3)(4)(5)(5)(5)(6)(6)
less working-capital build(0)(0)(0)(0)(0)
Free cash flow to firm26(3)44333
Discount factor0.9490.8550.7700.6940.625
Present value43322
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 7, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT555555
Interest at 8% on debt(1)(1)(1)(1)(1)
Profit before tax55555
Profit after tax1044444
Dividends000000
Balance sheet, year end
Cash037101215
Working capital313132323333
Net block and other assets646464646566
Debt777777
Equity737780848892
Balance check000000
Cash flow
From operations88889
Investing (capex)(5)(5)(5)(6)(6)
Financing (dividends)00000
Net change in cash33332
Free cash flow to equity33332
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 · editingDCF1.5%6.8%11.00%5%24(53.7)%
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.