Models
HOWARD HOTELS LTD.BSE 526761Leisure Services
₹3per 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 model₹3implied FY26 P/E 22.5× · EV/EBITDA 2.9×
Against CMP ₹18.40−85.3%close of 28 Oct 2026
Growth the CMP implies42.8%revenue, a year for 5 years, on your other inputs
Value after FY3150%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
₹2₹4
52-week rangetraded range, a fact not a value
₹17₹29

From enterprise to equity · ₹ crore

PV of FY27–FY31 free cash flow2
PV of terminal value2
Enterprise value4
less net debt(2)
less non-controlling interest0
add non-operating investments0
Equity value2
÷ 0.91 crore shares₹3

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

00000FY21: ₹(1) croreFY21FY22: ₹0 croreFY22FY23: ₹1 croreFY23FY24: ₹(1) croreFY24FY25: ₹1 croreFY25FY26: ₹2 croreFY26FY27: ₹1 croreFY27FY28: ₹1 croreFY28FY29: ₹1 croreFY29FY30: ₹0 croreFY30FY31: ₹0 croreFY31
Filed, cash from operations − capexModelled free cash flow to firm

Sensitivity · ₹ per share

Down Across
WACC ↓terminal growth →4.0%4.5%5.0%5.5%6.0%
10.00%33344
10.50%33334
11.00%23333
11.50%22233
12.00%22223
The outlined cell is your model. Green figures sit above the CMP of ₹18.40; 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

P10 ₹1P50 ₹3P90 ₹4
10th · 50th · 90th percentile, ₹ per share1 · 3 · 4
Draws below the CMP100%
Rank correlation with ebitda margin+0.96
Rank correlation with discount rate−0.25
Rank correlation with revenue growth−0.02
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
Revenue101316161515141413
growth %137.928.222.9(3.4)(3.5)(3.5)(3.5)(3.5)(3.5)
EBITDA222211111
margin %17.414.111.19.99.99.99.99.99.9
less depreciation(1)(1)(1)(1)(1)(1)(1)(1)(1)
EBIT111111110
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT000000
add depreciation111111111
less capex0(4)(1)(0)(0)(1)(1)(1)(1)
less working-capital build—00000
Free cash flow to firm1(1)1—11100
Discount factor0.9490.8550.7700.6940.625
Present value11000
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 3, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111110
Interest at 8.9% on debt(0)(0)(0)(0)(0)
Profit before tax00000
Profit after tax000000
Dividends000000
Balance sheet, year end
Cash122233
Working capital000000
Net block and other assets171717161717
Debt333333
Equity121212121313
Balance check000000
Cash flow
From operations11111
Investing (capex)(0)(1)(1)(1)(1)
Financing (dividends)00000
Net change in cash1000(0)
Free cash flow to equity1000(0)
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-3.5%9.9%11.00%5%₹3(85.3)%
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.