Models
SWADESHI INDUSTRIES LEASING COBSE 506863Industrial Products
7per 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 model7implied FY26 P/E —× · EV/EBITDA 5.7×
Against CMP ₹77.2091.0%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY31124%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
511
52-week rangetraded range, a fact not a value
51164

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow(3)
PV of terminal value16
Enterprise value13
less net debt3
less non-controlling interest0
add non-operating investments0
Equity value16
÷ 2.31 crore shares7
124% of the value sits after FY31. 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

00000FY26: ₹(6) croreFY26FY27: ₹(2) croreFY27FY28: ₹(2) croreFY28FY29: ₹(1) croreFY29FY30: ₹0 croreFY30FY31: ₹2 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%7891011
10.50%778910
11.00%66788
11.50%56677
12.00%55667
The outlined cell is your model. Green figures sit above the CMP of ₹77.20; 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

P105P507P909
10th · 50th · 90th percentile, ₹ per share5 · 7 · 9
Draws below the CMP100%
Rank correlation with ebitda margin+0.76
Rank correlation with discount rate0.52
Rank correlation with revenue growth0.31
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
₹ croreFY26FY27FY28FY29FY30FY31
Revenue6874808693101
growth %8.08.08.08.08.0
EBITDA233333
margin %3.43.43.43.43.43.4
less depreciation(0)(0)(0)(0)(0)(0)
EBIT223333
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT222222
add depreciation000000
less capex(3)(4)(3)(2)(1)(0)
less working-capital build(1)(1)(1)(1)(1)
Free cash flow to firm(2)(2)(1)02
Discount factor0.9490.8550.7700.6940.625
Present value(2)(1)(1)01
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 1, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT223333
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax23333
Profit after tax222222
Dividends000000
Balance sheet, year end
Cash41(1)(1)(1)0
Working capital8910101112
Net block and other assets263033353636
Debt111111
Equity232527293134
Balance check00000(0)
Cash flow
From operations11122
Investing (capex)(4)(3)(2)(1)(0)
Financing (dividends)00000
Net change in cash(3)(2)(1)02
Free cash flow to equity(3)(2)(1)02
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 · editingDCF8%3.4%11.00%5%7(91.0)%
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.