Models
Riddhi Corporate Services LimiBSE 540590IT - Services
23per 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 model23implied FY20 P/E —× · EV/EBITDA 7.2×
Against CMP ₹56.3558.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2577%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
1932
52-week rangetraded range, a fact not a value
5183

From enterprise to equity · ₹ crore

PV of FY21FY25 free cash flow5
PV of terminal value17
Enterprise value23
less net debt5
less non-controlling interest0
add non-operating investments0
Equity value28
÷ 1.19 crore shares23
77% of the value sits after FY25. 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

00000FY19FY20FY21: ₹1 croreFY21FY22: ₹1 croreFY22FY23: ₹1 croreFY23FY24: ₹2 croreFY24FY25: ₹2 croreFY25
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%2426272932
10.50%2324252729
11.00%2122232527
11.50%2021222325
12.00%1920212223
The outlined cell is your model. Green figures sit above the CMP of ₹56.35; 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

P1018P5023P9029
10th · 50th · 90th percentile, ₹ per share18 · 23 · 29
Draws below the CMP100%
Rank correlation with ebitda margin+0.90
Rank correlation with discount rate0.37
Rank correlation with revenue growth0.01
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
Revenue6081106138179233302
growth %36.830.030.030.030.030.0
EBITDA3457912
margin %3.93.93.93.93.93.9
less depreciation(0)(0)(1)(1)(1)(1)
EBIT3456811
less tax on EBIT(2)(2)(3)(4)(5)(6)
NOPAT122334
add depreciation001111
less capex00(0)(0)(1)(1)
less working-capital build(1)(1)(1)(2)(2)
Free cash flow to firm11122
Discount factor0.9490.8550.7700.6940.625
Present value11111
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 5, dividends at 0% of profit

₹ croreFY20FY21FY22FY23FY24FY25
Income statement
EBIT3456811
Interest at 10.9% on debt(1)(1)(1)(1)(1)
Profit before tax346810
Profit after tax212234
Dividends000000
Balance sheet, year end
Cash101112131516
Working capital3456810
Net block and other assets272726262626
Debt555555
Equity252628303438
Balance check000000
Cash flow
From operations11223
Investing (capex)0(0)(0)(1)(1)
Financing (dividends)00000
Net change in cash11111
Free cash flow to equity11111
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 · editingDCF30%3.9%11.00%5%23(58.4)%
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.