Models
ALACRITY SECURITIES LTDBSE 535916Finance
22per 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 model22implied FY26 P/E 4.4× · EV/EBITDA 10.6×
Against CMP ₹46.8353.3%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3170%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
1731
52-week rangetraded range, a fact not a value
3879

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow31
PV of terminal value72
Enterprise value103
less net debt(1)
less non-controlling interest0
add non-operating investments0
Equity value102
÷ 4.67 crore shares22

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

00000FY21FY22FY23FY24FY25: ₹(38) croreFY25FY26: ₹30 croreFY26FY27: ₹9 croreFY27FY28: ₹8 croreFY28FY29: ₹8 croreFY29FY30: ₹7 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%2324262831
10.50%2122242628
11.00%2021222325
11.50%1819202223
12.00%1718192021
The outlined cell is your model. Green figures sit above the CMP of ₹46.83; 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

P1019P5022P9025
10th · 50th · 90th percentile, ₹ per share19 · 22 · 25
Draws below the CMP100%
Rank correlation with discount rate0.83
Rank correlation with ebitda margin+0.54
Rank correlation with revenue growth0.03
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
Revenue207341570411390371352334318
growth %(26.5)64.767.1(28.0)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA131099888
margin %2.22.42.42.42.42.42.4
less depreciation(0)(1)(1)(1)(1)(1)(1)
EBIT12998877
less tax on EBIT(3)(2)(2)(2)(2)(2)
NOPAT766655
add depreciation0111111
less capex(4)(1)(1)(1)(1)(1)(1)
less working-capital build32222
Free cash flow to firm(38)98877
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 9, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT998877
Interest at 13.5% on debt(1)(1)(1)(1)(1)
Profit before tax77766
Profit after tax655544
Dividends000000
Balance sheet, year end
Cash71522293642
Working capital504745434139
Net block and other assets717171717171
Debt999999
Equity9297103107112116
Balance check000000
Cash flow
From operations98877
Investing (capex)(1)(1)(1)(1)(1)
Financing (dividends)00000
Net change in cash87776
Free cash flow to equity87776
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%2.4%11.00%5%22(53.3)%
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.