Models
TVS ELECTRONICS LTDTVSELECTIT - Hardware
₹129per 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 model₹129implied FY19 P/E —× · EV/EBITDA 14.7×
Against CMP ₹385.00−66.6%close of 8 Oct 2026
Growth the CMP implies37.6%revenue, a year for 5 years, on your other inputs
Value after FY2473%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
₹101₹184
52-week rangetraded range, a fact not a value
₹336₹739

From enterprise to equity · ₹ crore

PV of FY20–FY24 free cash flow63
PV of terminal value173
Enterprise value237
less net debt3
less non-controlling interest0
add non-operating investments0
Equity value240
÷ 1.87 crore shares₹129

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

00000FY19FY20: ₹16 croreFY20FY21: ₹16 croreFY21FY22: ₹16 croreFY22FY23: ₹17 croreFY23FY24: ₹17 croreFY24
Filed, cash from operations − capexModelled free cash flow to firm

Sensitivity · ₹ per share

Down Across
WACC ↓terminal growth →4.0%4.5%5.0%5.5%6.0%
10.00%133142153167184
10.50%123131140151164
11.00%115121129138148
11.50%107113119127135
12.00%101106111117125
The outlined cell is your model. Green figures sit above the CMP of ₹385.00; 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

P10 ₹107P50 ₹128P90 ₹154
10th · 50th · 90th percentile, ₹ per share107 · 128 · 154
Draws below the CMP100%
Rank correlation with ebitda margin+0.62
Rank correlation with discount rate−0.62
Rank correlation with revenue growth+0.41
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
Revenue2,7612,9823,2203,4783,7564,056
growth %—8.08.08.08.08.0
EBITDA161819212324
margin %0.60.60.60.60.60.6
less depreciation(4)(3)(3)(3)(4)(4)
EBIT121516171920
less tax on EBIT(2)(2)(2)(2)(3)(3)
NOPAT111314151618
add depreciation433344
less capex00(1)(2)(3)(5)
less working-capital build—00000
Free cash flow to firm—1616161717
Discount factor0.9490.8550.7700.6940.625
Present value1514131210
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 0, dividends at 0% of profit

₹ croreFY19FY20FY21FY22FY23FY24
Income statement
EBIT121516171920
Interest at 8% on debt00000
Profit before tax1516171920
Profit after tax101314151618
Dividends000000
Balance sheet, year end
Cash31935526885
Working capital(1)(1)(1)(1)(1)(1)
Net block and other assets162159157156155156
Debt000000
Equity87100114129145162
Balance check000(0)(0)0
Cash flow
From operations1617182022
Investing (capex)0(1)(2)(3)(5)
Financing (dividends)00000
Net change in cash1616161717
Free cash flow to equity1616161717
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%0.6%11.00%5%₹129(66.6)%
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.