Models
NAVNEET EDUCATION LTDNAVNETEDULHousehold Products
2per 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 model2implied FY26 P/E 0.1× · EV/EBITDA 8.5×
Against CMP ₹127.5098.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3171%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
23
52-week rangetraded range, a fact not a value
122166

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow13
PV of terminal value31
Enterprise value44
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value44
÷ 22.00 crore shares2

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

00000FY21: ₹236 croreFY21FY22: ₹(32) croreFY22FY23: ₹(72) croreFY23FY24: ₹189 croreFY24FY25: ₹159 croreFY25FY26: ₹2 croreFY26FY27: ₹4 croreFY27FY28: ₹3 croreFY28FY29: ₹3 croreFY29FY30: ₹3 croreFY30FY31: ₹3 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%22233
10.50%22223
11.00%22222
11.50%22222
12.00%22222
The outlined cell is your model. Green figures sit above the CMP of ₹127.50; 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

P102P502P902
10th · 50th · 90th percentile, ₹ per share2 · 2 · 2
Draws below the CMP100%
Rank correlation with discount rate0.72
Rank correlation with ebitda margin+0.67
Rank correlation with revenue growth0.03
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
Revenue1,6971,7511,786171616151413
growth %52.33.22.0(99.0)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA3533631,002555544
margin %20.820.756.130.530.530.530.530.530.5
less depreciation(58)(65)(66)(1)(1)(1)(1)(1)(1)
EBIT295297936444443
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT433333
add depreciation586566111111
less capex(51)(53)(114)(1)(1)(1)(1)(1)(1)
less working-capital build00000
Free cash flow to firm(72)18915943333
Discount factor0.9490.8550.7700.6940.625
Present value33322
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 18.8% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT444443
Interest at 8% on debt(0)(0)(0)(0)(0)
Profit before tax44443
Profit after tax433333
Dividends(1)(1)(1)(1)(1)(1)
Balance sheet, year end
Cash14691214
Working capital988877
Net block and other assets161617171717
Debt000000
Equity212426293133
Balance check0(0)(0)(0)0(0)
Cash flow
From operations54444
Investing (capex)(1)(1)(1)(1)(1)
Financing (dividends)(1)(1)(1)(1)(1)
Net change in cash33332
Free cash flow to equity43333
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 · editingDCF-5%30.5%11.00%5%2(98.4)%
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.