Models
BLOOM INDUSTRIES LTD.BSE 513422Industrial Products
3per 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 model3implied FY26 P/E 1.6× · EV/EBITDA 16.6×
Against CMP ₹32.8791.8%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3170%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
17
52-week rangetraded range, a fact not a value
2845

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow2
PV of terminal value5
Enterprise value7
less net debt(5)
less non-controlling interest0
add non-operating investments0
Equity value2
÷ 0.70 crore shares3

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

0000000FY21: ₹(0) croreFY21FY22: ₹(1) croreFY22FY23: ₹1 croreFY23FY24: ₹1 croreFY24FY25: ₹9 croreFY25FY26: ₹(1) croreFY26FY27: ₹1 croreFY27FY28: ₹1 croreFY28FY29: ₹1 croreFY29FY30: ₹0 croreFY30FY31: ₹0 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%34567
10.50%23445
11.00%22334
11.50%12233
12.00%11122
The outlined cell is your model. Green figures sit above the CMP of ₹32.87; 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

P102P503P904
10th · 50th · 90th percentile, ₹ per share2 · 3 · 4
Draws below the CMP100%
Rank correlation with discount rate0.88
Rank correlation with ebitda margin+0.46
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
₹ croreFY23FY24FY25FY26FY27FY28FY29FY30FY31
Revenue133024141313121211
growth %0.0123.6(21.7)(40.1)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA111000000
margin %6.73.15.32.92.92.92.92.92.9
less depreciation00(0)(0)(0)(0)(0)(0)(0)
EBIT111000000
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT000000
add depreciation000000000
less capex00(0)(0)0(0)(0)(0)(0)
less working-capital build00000
Free cash flow to firm11911100
Discount factor0.9490.8550.7700.6940.625
Present value10000
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 5, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT000000
Interest at 10% on debt(1)(1)(1)(1)(1)
Profit before tax(0)(0)(0)(0)(0)
Profit after tax1(0)(0)(0)(0)(0)
Dividends000000
Balance sheet, year end
Cash000000
Working capital544444
Net block and other assets151515151515
Debt555555
Equity111111101010
Balance check000000
Cash flow
From operations0000(0)
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash0000(0)
Free cash flow to equity0000(0)
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-5%2.9%11.00%5%3(91.8)%
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.