Models
GB Logistics Commerce LimitedBSE 544348Transport Services
92per 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 model92implied FY26 P/E —× · EV/EBITDA 9.5×
Against CMP ₹23.25+296.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3175%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
62152
52-week rangetraded range, a fact not a value
2367

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow28
PV of terminal value83
Enterprise value111
less net debt(35)
less non-controlling interest0
add non-operating investments0
Equity value76
÷ 0.82 crore shares92

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

0000000FY25: ₹(17) croreFY25FY26: ₹1 croreFY26FY27: ₹6 croreFY27FY28: ₹7 croreFY28FY29: ₹7 croreFY29FY30: ₹8 croreFY30FY31: ₹8 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%97107119134152
10.50%8694104116131
11.00%778492102114
11.50%69758290100
12.00%6267738088
The outlined cell is your model. Green figures sit above the CMP of ₹23.25; 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

P1074P5092P90115
10th · 50th · 90th percentile, ₹ per share74 · 92 · 115
Draws below the CMP0%
Rank correlation with discount rate0.80
Rank correlation with ebitda margin+0.57
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue206131124118112107101
growth %(36.5)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA141211111099
margin %6.98.98.98.98.98.98.9
less depreciation(1)(2)(2)(2)(1)(1)(1)
EBIT141099988
less tax on EBIT(3)(2)(2)(2)(2)(2)
NOPAT777666
add depreciation1222111
less capex(7)(6)(5)(4)(3)(2)(2)
less working-capital build33332
Free cash flow to firm(17)67788
Discount factor0.9490.8550.7700.6940.625
Present value66655
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 44, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT1099988
Interest at 9.5% on debt(4)(4)(4)(4)(4)
Profit before tax55444
Profit after tax944333
Dividends000000
Balance sheet, year end
Cash91316202530
Working capital615855524947
Net block and other assets545760626363
Debt444444444444
Equity596367707375
Balance check0000(0)0
Cash flow
From operations98776
Investing (capex)(5)(4)(3)(2)(2)
Financing (dividends)00000
Net change in cash34455
Free cash flow to equity34455
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%8.9%11.00%5%92296.6%
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.