Models
RHETAN TMT LIMITEDRHETANIndustrial Products
₹1per 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 model₹1implied FY26 P/E 2.6× · EV/EBITDA 14.4×
Against CMP ₹14.13−95.1%close of 28 Oct 2026
Growth the CMP implies—%no growth rate between −20% and 45% a year brings the value to the CMP on your other inputs
Value after FY3169%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
₹0₹1
52-week rangetraded range, a fact not a value
₹14₹35

From enterprise to equity · ₹ crore

PV of FY27–FY31 free cash flow29
PV of terminal value66
Enterprise value96
less net debt(41)
less non-controlling interest0
add non-operating investments0
Equity value55
÷ 79.69 crore shares₹1

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

000000FY23FY24FY25: ₹5 croreFY25FY26: ₹1 croreFY26FY27: ₹8 croreFY27FY28: ₹8 croreFY28FY29: ₹7 croreFY29FY30: ₹7 croreFY30FY31: ₹6 croreFY31
Filed, cash from operations − capexModelled free cash flow to firm

Sensitivity · ₹ per share

Down Across
WACC ↓terminal growth →4.0%4.5%5.0%5.5%6.0%
10.00%11111
10.50%11111
11.00%11111
11.50%01111
12.00%00111
The outlined cell is your model. Green figures sit above the CMP of ₹14.13; 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

P10 ₹1P50 ₹1P90 ₹1
10th · 50th · 90th percentile, ₹ per share1 · 1 · 1
Draws below the CMP100%
Rank correlation with discount rate−0.88
Rank correlation with ebitda margin+0.45
Rank correlation with revenue growth−0.03
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
₹ croreFY23FY24FY25FY26FY27FY28FY29FY30FY31
Revenue866537242322212019
growth %—(24.7)(42.6)(34.2)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA——4766655
margin %——10.727.127.127.127.127.127.1
less depreciation——(1)(1)(1)(1)(0)(0)(0)
EBIT——3665555
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT554444
add depreciation——1111000
less capex——000(0)(0)(0)(1)
less working-capital build—33333
Free cash flow to firm——5—88776
Discount factor0.9490.8550.7700.6940.625
Present value87654
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 42, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT665555
Interest at 4.4% on debt(2)(2)(2)(2)(2)
Profit before tax44333
Profit after tax1033322
Dividends000000
Balance sheet, year end
Cash0714202530
Working capital696662595653
Net block and other assets969595959595
Debt424242424242
Equity109112115117120122
Balance check0(0)(0)0(0)0
Cash flow
From operations77665
Investing (capex)0(0)(0)(0)(1)
Financing (dividends)00000
Net change in cash76655
Free cash flow to equity76655
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%27.1%11.00%5%₹1(95.1)%
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.