Models
CHANDRA PRABHU INTERNATIONAL LBSE 530309Commercial Services & Supplies
14per 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 model14implied FY19 P/E 2.7× · EV/EBITDA 9.4×
Against CMP ₹10.70+34.8%close of 2026-09-20
Growth the CMP implies(20.0)%revenue, a year for 5 years, on your other inputs
Value after FY2475%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
1022
52-week rangetraded range, a fact not a value
918

From enterprise to equity · ₹ crore

PV of FY20FY24 free cash flow12
PV of terminal value38
Enterprise value50
less net debt(10)
less non-controlling interest0
add non-operating investments0
Equity value40
÷ 2.77 crore shares14
75% of the value sits after FY24. 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

00000FY19FY20: ₹3 croreFY20FY21: ₹3 croreFY21FY22: ₹3 croreFY22FY23: ₹3 croreFY23FY24: ₹4 croreFY24
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%1516182022
10.50%1415161820
11.00%1213141617
11.50%1112131415
12.00%1011121314
The outlined cell is your model. Green figures sit above the CMP of ₹10.70; 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

P1011P5014P9018
10th · 50th · 90th percentile, ₹ per share11 · 14 · 18
Draws below the CMP11%
Rank correlation with ebitda margin+0.77
Rank correlation with discount rate0.52
Rank correlation with revenue growth0.30
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
₹ croreFY19FY20FY21FY22FY23FY24
Revenue9198106115124134
growth %8.08.08.08.08.0
EBITDA566778
margin %5.85.85.85.85.85.8
less depreciation(0)(0)(0)(0)(0)(0)
EBIT566677
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT445566
add depreciation000000
less capex00(0)(0)(0)(0)
less working-capital build(2)(2)(2)(2)(2)
Free cash flow to firm33334
Discount factor0.9490.8550.7700.6940.625
Present value33222
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 10, dividends at 0% of profit

₹ croreFY19FY20FY21FY22FY23FY24
Income statement
EBIT566677
Interest at 9.7% on debt(1)(1)(1)(1)(1)
Profit before tax55566
Profit after tax044455
Dividends000000
Balance sheet, year end
Cash0247912
Working capital222325272932
Net block and other assets666555
Debt101010101010
Equity121519242834
Balance check000000
Cash flow
From operations22333
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash22233
Free cash flow to equity22233
Other liabilities are held at their FY19 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%5.8%11.00%5%1434.8%
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.