Models
KPT INDUSTRIES LIMITEDBSE 505299Industrial Manufacturing
457per 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 model457implied FY20 P/E 18.5× · EV/EBITDA 12.0×
Against CMP ₹460.450.8%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2572%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
337695
52-week rangetraded range, a fact not a value
335767

From enterprise to equity · ₹ crore

PV of FY21FY25 free cash flow52
PV of terminal value137
Enterprise value189
less net debt(34)
less non-controlling interest0
add non-operating investments0
Equity value155
÷ 0.34 crore shares457

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

0000FY20FY21: ₹14 croreFY21FY22: ₹14 croreFY22FY23: ₹14 croreFY23FY24: ₹13 croreFY24FY25: ₹13 croreFY25
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%474515563621695
10.50%432465505552610
11.00%396424457495542
11.50%364388416448486
12.00%337357381408440
The outlined cell is your model. Green figures sit above the CMP of ₹460.45; 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

P10345P50453P90575
10th · 50th · 90th percentile, ₹ per share345 · 453 · 575
Draws below the CMP54%
Rank correlation with ebitda margin+0.82
Rank correlation with discount rate0.53
Rank correlation with revenue growth0.04
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
₹ croreFY20FY21FY22FY23FY24FY25
Revenue106114124133144156
growth %8.08.08.08.08.0
EBITDA161718202123
margin %14.914.914.914.914.914.9
less depreciation(3)(3)(3)(4)(4)(4)
EBIT131415161719
less tax on EBIT000000
NOPAT131415161819
add depreciation333444
less capex00(1)(2)(4)(5)
less working-capital build(4)(4)(4)(5)(5)
Free cash flow to firm1414141313
Discount factor0.9490.8550.7700.6940.625
Present value13121098
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 35, dividends at 0% of profit

₹ croreFY20FY21FY22FY23FY24FY25
Income statement
EBIT131415161719
Interest at 16.5% on debt(6)(6)(6)(6)(6)
Profit before tax89101213
Profit after tax889111213
Dividends000000
Balance sheet, year end
Cash1917243239
Working capital475155596469
Net block and other assets403735333334
Debt353535353535
Equity293747576983
Balance check0(0)(0)(0)0(0)
Cash flow
From operations89101113
Investing (capex)0(1)(2)(4)(5)
Financing (dividends)00000
Net change in cash88887
Free cash flow to equity88887
Other liabilities are held at their FY20 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%14.9%11.00%5%457(0.8)%
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.