Models
Meera Industries LimitedBSE 540519Industrial Manufacturing
4per 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 model4implied FY26 P/E 3.0× · EV/EBITDA 4.7×
Against CMP ₹30.8687.1%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3159%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
36
52-week rangetraded range, a fact not a value
2868

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow6
PV of terminal value8
Enterprise value14
less net debt(5)
less non-controlling interest0
add non-operating investments0
Equity value9
÷ 2.14 crore shares4

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

000000FY21FY22: ₹(1) croreFY22FY23: ₹(0) croreFY23FY24: ₹(2) croreFY24FY25: ₹(3) croreFY25FY26: ₹5 croreFY26FY27: ₹2 croreFY27FY28: ₹2 croreFY28FY29: ₹1 croreFY29FY30: ₹1 croreFY30FY31: ₹1 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%45566
10.50%44455
11.00%34445
11.50%33444
12.00%33344
The outlined cell is your model. Green figures sit above the CMP of ₹30.86; 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

P103P504P906
10th · 50th · 90th percentile, ₹ per share3 · 4 · 6
Draws below the CMP100%
Rank correlation with ebitda margin+0.90
Rank correlation with discount rate0.41
Rank correlation with revenue growth0.02
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
Revenue203040383634323129
growth %(35.8)48.232.2(5.1)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA(0)36333222
margin %(2.2)9.814.57.67.67.67.67.67.6
less depreciation(1)(1)(1)(2)(2)(2)(2)(1)(1)
EBIT(2)25111111
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT111111
add depreciation111222211
less capex(2)(1)(8)(1)(1)(1)(1)(2)(2)
less working-capital build00000
Free cash flow to firm(0)(2)(3)22111
Discount factor0.9490.8550.7700.6940.625
Present value21110
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 6, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111111
Interest at 11.8% on debt(1)(1)(1)(1)(1)
Profit before tax00000
Profit after tax000000
Dividends(0)00000
Balance sheet, year end
Cash123455
Working capital877666
Net block and other assets373636363636
Debt666666
Equity303030313131
Balance check000000
Cash flow
From operations22222
Investing (capex)(1)(1)(1)(2)(2)
Financing (dividends)00000
Net change in cash11100
Free cash flow to equity11100
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%7.6%11.00%5%4(87.1)%
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.