Models
FILTRON ENGINEERS LTD.BSE 531191
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 —× · EV/EBITDA 10.5×
Against CMP ₹73.8694.0%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3179%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
37
52-week rangetraded range, a fact not a value
21106

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow8
PV of terminal value31
Enterprise value39
less net debt(11)
less non-controlling interest0
add non-operating investments0
Equity value28
÷ 6.35 crore shares4
79% of the value sits after FY31. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

0000000FY26: ₹(23) croreFY26FY27: ₹2 croreFY27FY28: ₹2 croreFY28FY29: ₹2 croreFY29FY30: ₹3 croreFY30FY31: ₹3 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%55667
10.50%45566
11.00%44455
11.50%34445
12.00%33444
The outlined cell is your model. Green figures sit above the CMP of ₹73.86; 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+0.76
Rank correlation with discount rate0.47
Rank correlation with revenue growth0.39
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
Revenue76828996103112
growth %8.08.08.08.08.0
EBITDA444555
margin %4.94.94.94.94.94.9
less depreciation(0)(0)(0)(0)(0)(0)
EBIT444555
less tax on EBIT000000
NOPAT444555
add depreciation000000
less capex(1)(1)(1)(1)(0)(0)
less working-capital build(2)(2)(2)(2)(2)
Free cash flow to firm22233
Discount factor0.9490.8550.7700.6940.625
Present value12222
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 16, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT444555
Interest at 8% on debt(1)(1)(1)(1)(1)
Profit before tax33344
Profit after tax033344
Dividends000000
Balance sheet, year end
Cash5567810
Working capital212224262830
Net block and other assets100101102102102102
Debt161616161616
Equity606366697377
Balance check0(0)0(0)(0)(0)
Cash flow
From operations11122
Investing (capex)(1)(1)(1)(0)(0)
Financing (dividends)00000
Net change in cash01112
Free cash flow to equity01112
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%4.9%11.00%5%4(94.0)%
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.