Models
SUNDARAM MULTI PAP LTDSUNDARAMHousehold Products
₹3per 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₹3implied FY19 P/E —× · EV/EBITDA 10.8×
Against CMP ₹1.04+149.1%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 FY2472%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
₹2₹4
52-week rangetraded range, a fact not a value
₹1₹2

From enterprise to equity · ₹ crore

PV of FY20–FY24 free cash flow45
PV of terminal value115
Enterprise value160
less net debt(37)
less non-controlling interest0
add non-operating investments0
Equity value123
÷ 47.39 crore shares₹3

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

0000000FY19FY20: ₹12 croreFY20FY21: ₹12 croreFY21FY22: ₹12 croreFY22FY23: ₹11 croreFY23FY24: ₹11 croreFY24
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%33344
10.50%23334
11.00%22333
11.50%22233
12.00%22222
The outlined cell is your model. Green figures sit above the CMP of ₹1.04; 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 ₹2P50 ₹3P90 ₹3
10th · 50th · 90th percentile, ₹ per share2 · 3 · 3
Draws below the CMP0%
Rank correlation with ebitda margin+0.83
Rank correlation with discount rate−0.49
Rank correlation with revenue growth−0.15
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
₹ croreFY19FY20FY21FY22FY23FY24
Revenue100108116125135146
growth %—8.08.08.08.08.0
EBITDA151617192022
margin %14.814.814.814.814.814.8
less depreciation(3)(3)(3)(4)(4)(4)
EBIT121314151618
less tax on EBIT000000
NOPAT121314151618
add depreciation333444
less capex00(1)(2)(3)(5)
less working-capital build—(4)(5)(5)(5)(6)
Free cash flow to firm—1212121111
Discount factor0.9490.8550.7700.6940.625
Present value1110987
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 38, dividends at 0% of profit

₹ croreFY19FY20FY21FY22FY23FY24
Income statement
EBIT121314151618
Interest at 19.7% on debt(7)(7)(7)(7)(7)
Profit before tax678910
Profit after tax0678910
Dividends000000
Balance sheet, year end
Cash059131721
Working capital525661667177
Net block and other assets1019896959495
Debt383838383838
Equity96101108116124135
Balance check0(0)(0)000
Cash flow
From operations45679
Investing (capex)0(1)(2)(3)(5)
Financing (dividends)00000
Net change in cash44444
Free cash flow to equity44444
Other liabilities are held at their FY19 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%14.8%11.00%5%₹3149.1%
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.