Models
KAYCEE INDUSTRIES LTD.BSE 504084Electrical Equipment
226per 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 model226implied FY26 P/E 16.3× · EV/EBITDA 9.0×
Against CMP ₹795.0571.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3173%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
178322
52-week rangetraded range, a fact not a value
6321,317

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow19
PV of terminal value51
Enterprise value71
less net debt1
less non-controlling interest0
add non-operating investments0
Equity value72
÷ 0.32 crore shares226

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

0000000FY25: ₹6 croreFY25FY26: ₹5 croreFY26FY27: ₹5 croreFY27FY28: ₹5 croreFY28FY29: ₹5 croreFY29FY30: ₹5 croreFY30FY31: ₹5 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%233249269293322
10.50%216230246265288
11.00%202213226242260
11.50%189199210223238
12.00%178186196207219
The outlined cell is your model. Green figures sit above the CMP of ₹795.05; 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

P10175P50224P90279
10th · 50th · 90th percentile, ₹ per share175 · 224 · 279
Draws below the CMP100%
Rank correlation with ebitda margin+0.85
Rank correlation with discount rate0.47
Rank correlation with revenue growth0.07
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue536068778798111
growth %12.913.013.013.013.013.0
EBITDA98910111314
margin %16.213.113.113.113.113.113.1
less depreciation(1)(1)(1)(2)(2)(2)(2)
EBIT877891112
less tax on EBIT(2)(2)(2)(3)(3)(3)
NOPAT556789
add depreciation1112222
less capex000(1)(1)(2)(3)
less working-capital build(2)(2)(3)(3)(3)
Free cash flow to firm655555
Discount factor0.9490.8550.7700.6940.625
Present value54433
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 14.4% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT77891112
Interest at 8% on debt00000
Profit before tax7891112
Profit after tax456789
Dividends(1)(1)(1)(1)(1)(1)
Balance sheet, year end
Cash159131721
Working capital161820232629
Net block and other assets302927272627
Debt000000
Equity333843495663
Balance check00(0)(0)00
Cash flow
From operations55678
Investing (capex)0(1)(1)(2)(3)
Financing (dividends)(1)(1)(1)(1)(1)
Net change in cash44444
Free cash flow to equity55555
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 · editingDCF13%13.1%11.00%5%226(71.6)%
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.