Models
Anuroop Packaging LimitedBSE 542865Industrial Products
₹26per 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₹26implied FY26 P/E 10.5× · EV/EBITDA 7.6×
Against CMP ₹8.12+222.9%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 FY3167%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
₹19₹41
52-week rangetraded range, a fact not a value
₹8₹18

From enterprise to equity · ₹ crore

PV of FY27–FY31 free cash flow14
PV of terminal value28
Enterprise value42
less net debt(13)
less non-controlling interest0
add non-operating investments0
Equity value29
÷ 1.11 crore shares₹26

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

0000000FY21FY22FY23FY24: ₹(5) croreFY24FY25: ₹(1) croreFY25FY26: ₹1 croreFY26FY27: ₹4 croreFY27FY28: ₹4 croreFY28FY29: ₹3 croreFY29FY30: ₹3 croreFY30FY31: ₹3 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%2730333741
10.50%2527293236
11.00%2224262932
11.50%2022242628
12.00%1920212325
The outlined cell is your model. Green figures sit above the CMP of ₹8.12; 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 ₹21P50 ₹26P90 ₹33
10th · 50th · 90th percentile, ₹ per share21 · 26 · 33
Draws below the CMP0%
Rank correlation with discount rate−0.70
Rank correlation with ebitda margin+0.69
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
Revenue222818161514131312
growth %43.727.8(34.2)(14.6)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA—67655554
margin %—22.837.435.435.435.435.435.435.4
less depreciation—(1)(1)(1)(1)(1)(1)(1)(1)
EBIT—66444443
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT333333
add depreciation—11111111
less capex—(4)(3)(0)(0)(0)(1)(1)(1)
less working-capital build—00000
Free cash flow to firm—(5)(1)—44333
Discount factor0.9490.8550.7700.6940.625
Present value43322
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 13, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT444443
Interest at 10.2% on debt(1)(1)(1)(1)(1)
Profit before tax33322
Profit after tax022222
Dividends000000
Balance sheet, year end
Cash04791113
Working capital776666
Net block and other assets515050505050
Debt131313131313
Equity394143454748
Balance check000(0)00
Cash flow
From operations43333
Investing (capex)(0)(0)(1)(1)(1)
Financing (dividends)00000
Net change in cash33222
Free cash flow to equity33222
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%35.4%11.00%5%₹26222.9%
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.