Models
SINGER INDIA LIMITEDSINGERINDConsumer Durables
₹7per 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₹7implied FY20 P/E 4.4× · EV/EBITDA 3.6×
Against CMP ₹75.50−91.4%close of 8 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 FY2560%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
₹5₹10
52-week rangetraded range, a fact not a value
₹57₹91

From enterprise to equity · ₹ crore

PV of FY21–FY25 free cash flow21
PV of terminal value32
Enterprise value52
less net debt(12)
less non-controlling interest0
add non-operating investments0
Equity value40
÷ 6.22 crore shares₹7

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

00000FY19FY20FY21: ₹7 croreFY21FY22: ₹6 croreFY22FY23: ₹5 croreFY23FY24: ₹4 croreFY24FY25: ₹3 croreFY25
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%778910
10.50%67788
11.00%66778
11.50%56667
12.00%55666
The outlined cell is your model. Green figures sit above the CMP of ₹75.50; 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 ₹6P90 ₹10
10th · 50th · 90th percentile, ₹ per share2 · 6 · 10
Draws below the CMP100%
Rank correlation with ebitda margin+0.74
Rank correlation with revenue growth−0.62
Rank correlation with discount rate−0.19
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
₹ croreFY19FY20FY21FY22FY23FY24FY25
Revenue422451483517553591633
growth %—7.07.07.07.07.07.0
EBITDA13151517181920
margin %3.13.23.23.23.23.23.2
less depreciation(1)(4)(4)(4)(4)(5)(5)
EBIT12111212131415
less tax on EBIT(4)(4)(4)(5)(5)(5)
NOPAT7789910
add depreciation1444455
less capex—00(1)(3)(4)(6)
less working-capital build—(4)(5)(5)(5)(6)
Free cash flow to firm——76543
Discount factor0.9490.8550.7700.6940.625
Present value75432
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

₹ croreFY20FY21FY22FY23FY24FY25
Income statement
EBIT111212131415
Interest at 11% on debt(2)(2)(2)(2)(2)
Profit before tax1010111213
Profit after tax867789
Dividends000000
Balance sheet, year end
Cash61217212425
Working capital636772778288
Net block and other assets999592919091
Debt171717171717
Equity6471778593101
Balance check000000
Cash flow
From operations66778
Investing (capex)0(1)(3)(4)(6)
Financing (dividends)00000
Net change in cash65432
Free cash flow to equity65432
Other liabilities are held at their FY20 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 · editingDCF7%3.2%11.00%5%₹7(91.4)%
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.