Models
ALGOQUANT FINTECH LIMITEDALGOQUANTCapital Markets
20per 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 model20implied FY26 P/E 12.2× · EV/EBITDA 10.6×
Against CMP ₹65.4969.7%close of 2026-09-10
Growth the CMP implies30.8%revenue, a year for 5 years, on your other inputs
Value after FY3172%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
1628
52-week rangetraded range, a fact not a value
4871

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow155
PV of terminal value407
Enterprise value561
less net debt(4)
less non-controlling interest0
add non-operating investments0
Equity value557
÷ 28.11 crore shares20

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

0000000FY25: ₹57 croreFY25FY26: ₹57 croreFY26FY27: ₹40 croreFY27FY28: ₹40 croreFY28FY29: ₹40 croreFY29FY30: ₹39 croreFY30FY31: ₹39 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%2022242628
10.50%1920222325
11.00%1819202123
11.50%1717182021
12.00%1616171819
The outlined cell is your model. Green figures sit above the CMP of ₹65.49; 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

P1017P5020P9023
10th · 50th · 90th percentile, ₹ per share17 · 20 · 23
Draws below the CMP100%
Rank correlation with discount rate0.71
Rank correlation with ebitda margin+0.66
Rank correlation with revenue growth+0.02
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue235235237238239240241
growth %0.30.50.50.50.50.5
EBITDA48535353545454
margin %20.622.422.422.422.422.422.4
less depreciation(5)(4)(4)(4)(4)(4)(4)
EBIT44484949494950
less tax on EBIT(9)(10)(10)(10)(10)(10)
NOPAT393939404040
add depreciation5444444
less capex(4)(3)(3)(4)(4)(5)(5)
less working-capital build(0)(0)(0)(0)(0)
Free cash flow to firm574040403939
Discount factor0.9490.8550.7700.6940.625
Present value3834312724
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 31, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT484949494950
Interest at 8% on debt(2)(2)(2)(2)(2)
Profit before tax4647474747
Profit after tax03737383838
Dividends000000
Balance sheet, year end
Cash2765103141178215
Working capital222222
Net block and other assets247246245245246247
Debt313131313131
Equity134172209247285323
Balance check000(0)(0)(0)
Cash flow
From operations4242424242
Investing (capex)(3)(4)(4)(5)(5)
Financing (dividends)00000
Net change in cash3838383737
Free cash flow to equity3838383737
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 · editingDCF0.5%22.4%11.00%5%20(69.7)%
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.