Models
TEXEL INDUSTRIES LTD.BSE 526638Industrial Products
78per 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 model78implied FY26 P/E 11.2× · EV/EBITDA 11.2×
Against CMP ₹63.99+22.5%close of 2026-09-10
Growth the CMP implies(11.6)%revenue, a year for 5 years, on your other inputs
Value after FY3163%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
61112
52-week rangetraded range, a fact not a value
56115

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow44
PV of terminal value76
Enterprise value120
less net debt(16)
less non-controlling interest0
add non-operating investments0
Equity value104
÷ 1.33 crore shares78

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

000000FY21: ₹17 croreFY21FY22: ₹(24) croreFY22FY23: ₹13 croreFY23FY24: ₹14 croreFY24FY25: ₹(2) croreFY25FY26: ₹(2) croreFY26FY27: ₹15 croreFY27FY28: ₹13 croreFY28FY29: ₹11 croreFY29FY30: ₹9 croreFY30FY31: ₹7 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%818794102112
10.50%75808592100
11.00%7074788490
11.50%6569737782
12.00%6164687176
The outlined cell is your model. Green figures sit above the CMP of ₹63.99; 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

P1060P5079P9099
10th · 50th · 90th percentile, ₹ per share60 · 79 · 99
Draws below the CMP16%
Rank correlation with ebitda margin+0.86
Rank correlation with discount rate0.48
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
Revenue10095116999489858177
growth %9.7(4.8)21.9(14.4)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA(2)29111010998
margin %(1.6)2.48.110.810.810.810.810.810.8
less depreciation(5)(5)(6)(5)(5)(5)(5)(4)(4)
EBIT(7)(3)4555544
less tax on EBIT444433
NOPAT1099887
add depreciation556555544
less capex(5)(1)000(1)(3)(4)(5)
less working-capital build11111
Free cash flow to firm1314(2)15131197
Discount factor0.9490.8550.7700.6940.625
Present value1411865
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 17, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT555544
Interest at 8% on debt(1)(1)(1)(1)(1)
Profit before tax43333
Profit after tax576655
Dividends000000
Balance sheet, year end
Cash01324323943
Working capital161615141313
Net block and other assets898481797979
Debt171717171717
Equity435056626772
Balance check000000
Cash flow
From operations1312111010
Investing (capex)0(1)(3)(4)(5)
Financing (dividends)00000
Net change in cash1310875
Free cash flow to equity1310875
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%10.8%11.00%5%7822.5%
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.