Models
MAMATA MACHINERY LIMITEDMAMATAIndustrial Manufacturing
71per 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 model71implied FY26 P/E 19.5× · EV/EBITDA 8.9×
Against CMP ₹409.4582.7%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3172%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
56100
52-week rangetraded range, a fact not a value
297515

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow48
PV of terminal value123
Enterprise value170
less net debt4
less non-controlling interest0
add non-operating investments0
Equity value174
÷ 2.46 crore shares71

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

000000FY25: ₹71 croreFY25FY26: ₹(5) croreFY26FY27: ₹13 croreFY27FY28: ₹12 croreFY28FY29: ₹12 croreFY29FY30: ₹12 croreFY30FY31: ₹12 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%73788491100
10.50%6872778390
11.00%6367717681
11.50%5962667074
12.00%5659616569
The outlined cell is your model. Green figures sit above the CMP of ₹409.45; 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

P1061P5071P9083
10th · 50th · 90th percentile, ₹ per share61 · 71 · 83
Draws below the CMP100%
Rank correlation with discount rate0.77
Rank correlation with ebitda margin+0.62
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
Revenue255233221210200190180
growth %(8.5)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA55191817161615
margin %21.58.28.28.28.28.28.2
less depreciation(3)(4)(4)(4)(4)(3)(3)
EBIT51151413131212
less tax on EBIT(3)(3)(3)(3)(3)(3)
NOPAT1111101099
add depreciation3444433
less capex(2)(7)(7)(6)(5)(4)(4)
less working-capital build44444
Free cash flow to firm711312121212
Discount factor0.9490.8550.7700.6940.625
Present value1211987
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 8, dividends at 8.2% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT151413131212
Interest at 15.3% on debt(1)(1)(1)(1)(1)
Profit before tax1312121110
Profit after tax15109988
Dividends(1)(1)(1)(1)(1)(1)
Balance sheet, year end
Cash122334445565
Working capital888479757268
Net block and other assets167170172174175175
Debt888888
Equity185194203211219226
Balance check000000
Cash flow
From operations1817161615
Investing (capex)(7)(6)(5)(4)(4)
Financing (dividends)(1)(1)(1)(1)(1)
Net change in cash1111111010
Free cash flow to equity1212111111
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%8.2%11.00%5%71(82.7)%
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.