Models
GREENCREST FINANCIAL SERVICESBSE 531737Commercial Services & Supplies
₹1per 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₹1implied FY26 P/E 40.7× · EV/EBITDA 8.5×
Against CMP ₹0.51+139.5%close of 28 Oct 2026
Growth the CMP implies—%no growth rate between −20% and 45% a year brings the value to the CMP 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
₹1₹2
52-week rangetraded range, a fact not a value
₹0₹1

From enterprise to equity · ₹ crore

PV of FY27–FY31 free cash flow13
PV of terminal value32
Enterprise value45
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value45
÷ 36.55 crore shares₹1

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

0000000FY21: ₹2 croreFY21FY22: ₹3 croreFY22FY23: ₹(4) croreFY23FY24: ₹(1) croreFY24FY25: ₹13 croreFY25FY26: ₹22 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
WACC ↓terminal growth →4.0%4.5%5.0%5.5%6.0%
10.00%11122
10.50%11112
11.00%11111
11.50%11111
12.00%11111
The outlined cell is your model. Green figures sit above the CMP of ₹0.51; 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 ₹1P90 ₹1
10th · 50th · 90th percentile, ₹ per share1 · 1 · 1
Draws below the CMP0%
Rank correlation with discount rate−0.77
Rank correlation with ebitda margin+0.61
Rank correlation with revenue growth−0.03
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
Revenue243972383634333129
growth %175.660.382.9(46.9)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA335555544
margin %12.18.26.613.813.813.813.813.813.8
less depreciation(0)(0)(0)(0)00000
EBIT335555544
less tax on EBIT(2)(1)(1)(1)(1)(1)
NOPAT443333
add depreciation000000000
less capex(0)00(0)(0)(0)(0)(0)0
less working-capital build—00000
Free cash flow to firm(4)(1)13—43333
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 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT555544
Interest at 8% on debt00000
Profit before tax55544
Profit after tax143333
Dividends000000
Balance sheet, year end
Cash047101317
Working capital443333
Net block and other assets135135135135135135
Debt000000
Equity576064677073
Balance check0(0)0000
Cash flow
From operations44333
Investing (capex)(0)(0)(0)(0)0
Financing (dividends)00000
Net change in cash43333
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%13.8%11.00%5%₹1139.5%
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.