Models
KCD INDUSTRIES INDIA LIMITEDBSE 540696Commercial Services & Supplies
1per 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 model1implied FY24 P/E 5.8× · EV/EBITDA 2.6×
Against CMP ₹3.9466.2%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2983%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
12
52-week rangetraded range, a fact not a value
314

From enterprise to equity · ₹ crore

PV of FY25FY29 free cash flow1
PV of terminal value3
Enterprise value3
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value3
÷ 2.53 crore shares1
83% of the value sits after FY29. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

00000000FY24: ₹(27) croreFY24FY25: ₹0 croreFY25FY26: ₹0 croreFY26FY27: ₹0 croreFY27FY28: ₹0 croreFY28FY29: ₹0 croreFY29
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%11222
10.50%11122
11.00%11112
11.50%11111
12.00%11111
The outlined cell is your model. Green figures sit above the CMP of ₹3.94; 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(0)P501P903
10th · 50th · 90th percentile, ₹ per share(0) · 1 · 3
Draws below the CMP100%
Rank correlation with revenue growth0.85
Rank correlation with ebitda margin+0.50
Rank correlation with discount rate0.11
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
₹ croreFY24FY25FY26FY27FY28FY29
Revenue192123242628
growth %8.08.08.08.08.0
EBITDA112222
margin %6.76.76.76.76.76.7
less depreciation(0)(0)(0)(0)(0)(0)
EBIT111222
less tax on EBIT(0)(0)(0)(0)(0)(1)
NOPAT111111
add depreciation000000
less capex(0)(0)(0)(0)(0)(0)
less working-capital build(1)(1)(1)(1)(1)
Free cash flow to firm00000
Discount factor0.9490.8550.7700.6940.625
Present value00000
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

₹ croreFY24FY25FY26FY27FY28FY29
Income statement
EBIT111222
Interest at 8% on debt00000
Profit before tax11222
Profit after tax211111
Dividends000000
Balance sheet, year end
Cash000011
Working capital101111121314
Net block and other assets505050515151
Debt000000
Equity424344454648
Balance check000000
Cash flow
From operations00000
Investing (capex)(0)(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash00000
Free cash flow to equity00000
Other liabilities are held at their FY24 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%6.7%11.00%5%1(66.2)%
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.