Models
Shradha AI Technologies LimiteBSE 543976IT - Software
25per 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 model25implied FY25 P/E 16.1× · EV/EBITDA 14.9×
Against CMP ₹22.40+12.6%close of 2026-09-10
Growth the CMP implies4.9%revenue, a year for 5 years, on your other inputs
Value after FY3076%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
2036
52-week rangetraded range, a fact not a value
2244

From enterprise to equity · ₹ crore

PV of FY26FY30 free cash flow36
PV of terminal value111
Enterprise value147
less net debt7
less non-controlling interest0
add non-operating investments0
Equity value154
÷ 6.10 crore shares25
76% of the value sits after FY30. Usual when return on capital sits near the cost of capital; the 5 explicit years carry little of it.

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

0000000FY25: ₹9 croreFY25FY26: ₹8 croreFY26FY27: ₹9 croreFY27FY28: ₹9 croreFY28FY29: ₹10 croreFY29FY30: ₹11 croreFY30
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%2628303336
10.50%2426273032
11.00%2224252729
11.50%2122232527
12.00%2021222324
The outlined cell is your model. Green figures sit above the CMP of ₹22.40; 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

P1021P5025P9030
10th · 50th · 90th percentile, ₹ per share21 · 25 · 30
Draws below the CMP19%
Rank correlation with discount rate0.68
Rank correlation with ebitda margin+0.55
Rank correlation with revenue growth+0.43
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
₹ croreFY25FY26FY27FY28FY29FY30
Revenue151617192022
growth %8.08.08.08.08.0
EBITDA101111121314
margin %66.666.666.666.666.666.6
less depreciation(0)(0)(0)(0)(0)(0)
EBIT101011121314
less tax on EBIT(2)(3)(3)(3)(3)(3)
NOPAT78991011
add depreciation000000
less capex(0)0(0)(0)(0)(0)
less working-capital build(0)(0)(0)(0)(0)
Free cash flow to firm8991011
Discount factor0.9490.8550.7700.6940.625
Present value87777
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 0, dividends at 18.6% of profit

₹ croreFY25FY26FY27FY28FY29FY30
Income statement
EBIT101011121314
Interest at 8% on debt00000
Profit before tax1011121314
Profit after tax108991011
Dividends(2)(1)(2)(2)(2)(2)
Balance sheet, year end
Cash71421283645
Working capital111122
Net block and other assets868686868686
Debt000000
Equity8794101108116125
Balance check0000(0)0
Cash flow
From operations8991011
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)(1)(2)(2)(2)(2)
Net change in cash77889
Free cash flow to equity8991011
Other liabilities are held at their FY25 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%66.6%11.00%5%2512.6%
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.