Models
FABTECH TECHNOLOGIES LTDFABTECHHealthcare Equipment & Supplies
79per 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 model79implied FY26 P/E 5.7× · EV/EBITDA 8.4×
Against CMP ₹146.2045.8%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3175%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
64110
52-week rangetraded range, a fact not a value
133263

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow78
PV of terminal value230
Enterprise value308
less net debt44
less non-controlling interest0
add non-operating investments0
Equity value352
÷ 4.45 crore shares79

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

0000000FY26: ₹(4) croreFY26FY27: ₹18 croreFY27FY28: ₹19 croreFY28FY29: ₹20 croreFY29FY30: ₹21 croreFY30FY31: ₹22 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%828793100110
10.50%7680859299
11.00%7175798490
11.50%6770747883
12.00%6467707377
The outlined cell is your model. Green figures sit above the CMP of ₹146.20; 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

P1063P5079P9095
10th · 50th · 90th percentile, ₹ per share63 · 79 · 95
Draws below the CMP100%
Rank correlation with ebitda margin+0.82
Rank correlation with discount rate0.48
Rank correlation with revenue growth0.23
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
Revenue411444479517559604
growth %8.08.08.08.08.0
EBITDA374043475054
margin %9.09.09.09.09.09.0
less depreciation(5)(6)(6)(7)(7)(8)
EBIT313437404346
less tax on EBIT(7)(7)(8)(8)(9)(10)
NOPAT252729323437
add depreciation566778
less capex(5)(5)(6)(7)(8)(9)
less working-capital build(10)(10)(11)(12)(13)
Free cash flow to firm1819202122
Discount factor0.9490.8550.7700.6940.625
Present value1716161514
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 43, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT313437404346
Interest at 9.7% on debt(4)(4)(4)(4)(4)
Profit before tax3033363942
Profit after tax382426283134
Dividends000000
Balance sheet, year end
Cash87102118135153172
Working capital120130140152164177
Net block and other assets447446445445446448
Debt434343434343
Equity420444470498529562
Balance check0000(0)0
Cash flow
From operations2022242628
Investing (capex)(5)(6)(7)(8)(9)
Financing (dividends)00000
Net change in cash1516171819
Free cash flow to equity1516171819
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%9%11.00%5%79(45.8)%
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.