Models
SAMEERA AGRO AND INFRA LSAIFL
0per 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 model0implied FY26 P/E 0.0× · EV/EBITDA 0.3×
Against CMP ₹4.4597.4%close of 2026-09-10
Growth the CMP implies(20.0)%revenue, a year for 5 years, on your other inputs
Value after FY31-47%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
(0)0
52-week rangetraded range, a fact not a value
426

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow11
PV of terminal value(4)
Enterprise value8
less net debt(7)
less non-controlling interest0
add non-operating investments0
Equity value1
÷ 5.95 crore shares0

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

00000FY25: ₹(26) croreFY25FY26: ₹6 croreFY26FY27: ₹5 croreFY27FY28: ₹4 croreFY28FY29: ₹3 croreFY29FY30: ₹2 croreFY30FY31: ₹(0) 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%00(0)(0)(0)
10.50%000(0)(0)
11.00%0000(0)
11.50%00000
12.00%00000
The outlined cell is your model. Green figures sit above the CMP of ₹4.45; 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(19)P500P9014
10th · 50th · 90th percentile, ₹ per share(19) · 0 · 14
Draws below the CMP63%
Rank correlation with revenue growth0.87
Rank correlation with ebitda margin+0.48
Rank correlation with discount rate+0.01
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
Revenue236274318369428496576
growth %15.916.016.016.016.016.0
EBITDA21252934394653
margin %9.09.29.29.29.29.29.2
less depreciation(3)(3)(4)(5)(6)(6)(7)
EBIT18222529343945
less tax on EBIT(7)(8)(9)(11)(13)(15)
NOPAT151720232731
add depreciation3345667
less capex(53)00(1)(3)(6)(9)
less working-capital build(16)(19)(22)(26)(30)
Free cash flow to firm(26)5432(0)
Discount factor0.9490.8550.7700.6940.625
Present value5321(0)
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 7, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT222529343945
Interest at 7.1% on debt(0)(0)(0)(0)(0)
Profit before tax2529333945
Profit after tax151719232631
Dividends000000
Balance sheet, year end
Cash058111212
Working capital103119138160186216
Net block and other assets868278767577
Debt777777
Equity146163182205231262
Balance check0(0)000(0)
Cash flow
From operations45678
Investing (capex)0(1)(3)(6)(9)
Financing (dividends)00000
Net change in cash4431(1)
Free cash flow to equity4431(1)
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 · editingDCF16%9.2%11.00%5%0(97.4)%
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.