Models
SUMEDHA FISCAL SERVICES LSUMEDHAFinance
16per 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 model16implied FY26 P/E 5.4× · EV/EBITDA 3.6×
Against CMP ₹43.5062.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3174%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
1323

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow3
PV of terminal value9
Enterprise value12
less net debt1
less non-controlling interest0
add non-operating investments0
Equity value13
÷ 0.80 crore shares16

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

00000FY21: ₹(0) croreFY21FY22: ₹3 croreFY22FY23: ₹(1) croreFY23FY24: ₹2 croreFY24FY25: ₹1 croreFY25FY26: ₹(4) croreFY26FY27: ₹1 croreFY27FY28: ₹1 croreFY28FY29: ₹1 croreFY29FY30: ₹1 croreFY30FY31: ₹1 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%1718192123
10.50%1617181921
11.00%1515161719
11.50%1414151617
12.00%1314141516
The outlined cell is your model. Green figures sit above the CMP of ₹43.50; 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

P108P5016P9024
10th · 50th · 90th percentile, ₹ per share8 · 16 · 24
Draws below the CMP100%
Rank correlation with ebitda margin+0.74
Rank correlation with revenue growth0.62
Rank correlation with discount rate0.19
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
₹ croreFY23FY24FY25FY26FY27FY28FY29FY30FY31
Revenue6196102110117126134144154
growth %7.157.86.97.17.07.07.07.07.0
EBITDA296344445
margin %3.79.76.13.13.13.13.13.13.1
less depreciation(1)(1)(1)(1)(1)(1)(1)(1)(1)
EBIT295233334
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT222223
add depreciation111111111
less capex(2)(1)(0)(1)(1)(1)(1)(1)(1)
less working-capital build(1)(1)(1)(1)(2)
Free cash flow to firm(1)2111111
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 0, dividends at 33% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT233334
Interest at 8% on debt00000
Profit before tax33334
Profit after tax222223
Dividends(1)(1)(1)(1)(1)(1)
Balance sheet, year end
Cash111222
Working capital171819212224
Net block and other assets505051515151
Debt000000
Equity656768707173
Balance check000000
Cash flow
From operations22222
Investing (capex)(1)(1)(1)(1)(1)
Financing (dividends)(1)(1)(1)(1)(1)
Net change in cash0000(0)
Free cash flow to equity11111
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 · editingDCF7%3.1%11.00%5%16(62.4)%
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.