Models
SHREE TIRUPATI BALAJEE LBALAJEEIndustrial Products
12per 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 model12implied FY26 P/E 10.2× · EV/EBITDA 8.5×
Against CMP ₹25.1553.8%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3174%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
329
52-week rangetraded range, a fact not a value
2156

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow84
PV of terminal value240
Enterprise value324
less net debt(229)
less non-controlling interest0
add non-operating investments0
Equity value95
÷ 8.16 crore shares12

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

00000FY25: ₹(40) croreFY25FY26: ₹(19) croreFY26FY27: ₹20 croreFY27FY28: ₹21 croreFY28FY29: ₹22 croreFY29FY30: ₹22 croreFY30FY31: ₹23 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%1316192429
10.50%1012151923
11.00%79121418
11.50%5791114
12.00%346810
The outlined cell is your model. Green figures sit above the CMP of ₹25.15; 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

P106P5012P9019
10th · 50th · 90th percentile, ₹ per share6 · 12 · 19
Draws below the CMP99%
Rank correlation with discount rate0.72
Rank correlation with ebitda margin+0.67
Rank correlation with revenue growth0.03
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
Revenue579574568562557551546
growth %(1.0)(1.0)(1.0)(1.0)(1.0)(1.0)
EBITDA58383737373636
margin %10.06.66.66.66.66.66.6
less depreciation(8)(7)(7)(7)(7)(7)(7)
EBIT50313030302929
less tax on EBIT(9)(9)(8)(8)(8)(8)
NOPAT222221212121
add depreciation8777777
less capex0(12)(12)(11)(10)(9)(9)
less working-capital build44444
Free cash flow to firm(40)2021222223
Discount factor0.9490.8550.7700.6940.625
Present value1918171614
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 230, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT313030302929
Interest at 9.9% on debt(23)(23)(23)(23)(23)
Profit before tax77766
Profit after tax1155554
Dividends000000
Balance sheet, year end
Cash1510152128
Working capital398394390386382378
Net block and other assets228233238241243245
Debt230230230230230230
Equity348354359364368373
Balance check000000
Cash flow
From operations1716161615
Investing (capex)(12)(11)(10)(9)(9)
Financing (dividends)00000
Net change in cash45567
Free cash flow to equity45567
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 · editingDCF-1%6.6%11.00%5%12(53.8)%
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.