Models
KALYANI COMMERCIALS LTDKALYANIAgricultural Commercial & Construction Vehicles
270per 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 model270implied FY22 P/E 11.8× · EV/EBITDA 7.3×
Against CMP ₹144.99+86.5%close of 2026-08-27
Growth the CMP implies(12.7)%revenue, a year for 5 years, on your other inputs
Value after FY2773%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
212387

From enterprise to equity · ₹ crore

PV of FY23FY27 free cash flow7
PV of terminal value20
Enterprise value27
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value27
÷ 0.10 crore shares270

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

00000FY20FY21: ₹(0) croreFY21FY22: ₹(1) croreFY22FY23: ₹2 croreFY23FY24: ₹2 croreFY24FY25: ₹2 croreFY25FY26: ₹2 croreFY26FY27: ₹2 croreFY27
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%279299322351387
10.50%258275294317345
11.00%241254270289312
11.50%225237250266285
12.00%212222233247262
The outlined cell is your model. Green figures sit above the CMP of ₹144.99; 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

P10228P50269P90318
10th · 50th · 90th percentile, ₹ per share228 · 269 · 318
Draws below the CMP0%
Rank correlation with ebitda margin+0.69
Rank correlation with discount rate0.68
Rank correlation with revenue growth+0.05
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
₹ croreFY20FY21FY22FY23FY24FY25FY26FY27
Revenue641227230232234237239241
growth %(64.5)1.01.01.01.01.01.0
EBITDA178444444
margin %2.73.41.61.61.61.61.61.6
less depreciation(5)(2)(0)(0)(0)(0)(0)(0)
EBIT135333333
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT222222
add depreciation52000000
less capex0(0)(0)(0)(1)(1)(1)
less working-capital build00000
Free cash flow to firm(0)22222
Discount factor0.9490.8550.7700.6940.625
Present value22111
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

₹ croreFY22FY23FY24FY25FY26FY27
Income statement
EBIT333333
Interest at 8% on debt00000
Profit before tax33333
Profit after tax222222
Dividends000000
Balance sheet, year end
Cash0246810
Working capital000000
Net block and other assets000000
Debt000000
Equity0246810
Balance check000000
Cash flow
From operations22222
Investing (capex)(0)(0)(1)(1)(1)
Financing (dividends)00000
Net change in cash22222
Free cash flow to equity22222
Other liabilities are held at their FY22 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%1.6%11.00%5%27086.5%
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.