Models
UPSURGE SEEDS OF AGRI LTDUSASEEDS
₹136per 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₹136implied FY26 P/E —× · EV/EBITDA 13.5×
Against CMP ₹89.55+52.2%close of 19 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 FY3169%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
₹97₹214
52-week rangetraded range, a fact not a value
₹77₹188

From enterprise to equity · ₹ crore

PV of FY27–FY31 free cash flow58
PV of terminal value132
Enterprise value190
less net debt(53)
less non-controlling interest0
add non-operating investments0
Equity value137
÷ 1.01 crore shares₹136

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

000000FY25: ₹(3) croreFY25FY26: ₹5 croreFY26FY27: ₹17 croreFY27FY28: ₹16 croreFY28FY29: ₹15 croreFY29FY30: ₹14 croreFY30FY31: ₹13 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%142155171190214
10.50%128139152167186
11.00%117126136149164
11.50%106114123133146
12.00%97104112120131
The outlined cell is your model. Green figures sit above the CMP of ₹89.55; 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 ₹113P50 ₹137P90 ₹166
10th · 50th · 90th percentile, ₹ per share113 · 137 · 166
Draws below the CMP0%
Rank correlation with discount rate−0.82
Rank correlation with ebitda margin+0.55
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue137110105100959085
growth %—(19.3)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA—141313121211
margin %—12.812.812.812.812.812.8
less depreciation—(2)(2)(2)(2)(2)(2)
EBIT—12121110109
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT1111101099
add depreciation—222222
less capex(2)(1)(1)(1)(1)(2)(2)
less working-capital build—55544
Free cash flow to firm(3)—1716151413
Discount factor0.9490.8550.7700.6940.625
Present value16141198
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 54, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT12121110109
Interest at 8.3% on debt(4)(4)(4)(4)(4)
Profit before tax77655
Profit after tax776655
Dividends000000
Balance sheet, year end
Cash01325354553
Working capital1029692878379
Net block and other assets181716161616
Debt545454545454
Equity626975808690
Balance check00(0)000
Cash flow
From operations1413121110
Investing (capex)(1)(1)(1)(2)(2)
Financing (dividends)00000
Net change in cash13121198
Free cash flow to equity13121198
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%12.8%11.00%5%₹13652.2%
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.