Models
SERVICE CARE LIMITEDSERVICE
15per 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 model15implied FY26 P/E —× · EV/EBITDA 3.4×
Against CMP ₹68.0577.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY31139%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
1025
52-week rangetraded range, a fact not a value
3973

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow(6)
PV of terminal value23
Enterprise value16
less net debt4
less non-controlling interest0
add non-operating investments0
Equity value20
÷ 1.33 crore shares15
139% of the value sits after FY31. 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

00000FY25: ₹1 croreFY25FY26: ₹(11) croreFY26FY27: ₹(5) croreFY27FY28: ₹(3) croreFY28FY29: ₹(1) croreFY29FY30: ₹0 croreFY30FY31: ₹2 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%1618202225
10.50%1416171922
11.00%1314151719
11.50%1112141517
12.00%1011121315
The outlined cell is your model. Green figures sit above the CMP of ₹68.05; 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

P109P5015P9021
10th · 50th · 90th percentile, ₹ per share9 · 15 · 21
Draws below the CMP100%
Rank correlation with ebitda margin+0.87
Rank correlation with discount rate0.39
Rank correlation with revenue growth0.23
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
Revenue189193198203208213219
growth %2.32.52.52.52.52.5
EBITDA3555555
margin %1.72.52.52.52.52.52.5
less depreciation(1)(2)(2)(2)(2)(2)(2)
EBIT3333334
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT333333
add depreciation1222222
less capex(1)(8)(9)(7)(6)(4)(2)
less working-capital build(1)(1)(1)(1)(1)
Free cash flow to firm1(5)(3)(1)02
Discount factor0.9490.8550.7700.6940.625
Present value(4)(3)(1)01
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 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT333334
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax33333
Profit after tax533333
Dividends000000
Balance sheet, year end
Cash5(0)(3)(5)(4)(2)
Working capital262728282930
Net block and other assets424955596161
Debt000000
Equity525558616468
Balance check0(0)0(0)00
Cash flow
From operations44445
Investing (capex)(9)(7)(6)(4)(2)
Financing (dividends)00000
Net change in cash(5)(3)(1)02
Free cash flow to equity(5)(3)(1)02
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 · editingDCF2.5%2.5%11.00%5%15(77.6)%
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.