Models
TOLINS TYRES LIMITEDTOLINSAuto Components
11per 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 model11implied FY26 P/E 1.3× · EV/EBITDA 1.0×
Against CMP ₹89.0687.8%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3165%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
816
52-week rangetraded range, a fact not a value
83202

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow17
PV of terminal value32
Enterprise value49
less net debt(6)
less non-controlling interest0
add non-operating investments0
Equity value43
÷ 3.95 crore shares11

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

000000FY25: ₹(68) croreFY25FY26: ₹(42) croreFY26FY27: ₹5 croreFY27FY28: ₹5 croreFY28FY29: ₹4 croreFY29FY30: ₹4 croreFY30FY31: ₹3 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%1112131416
10.50%1011121314
11.00%1010111213
11.50%99101111
12.00%8991011
The outlined cell is your model. Green figures sit above the CMP of ₹89.06; 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(42)P5011P9054
10th · 50th · 90th percentile, ₹ per share(42) · 11 · 54
Draws below the CMP100%
Rank correlation with revenue growth0.88
Rank correlation with ebitda margin+0.47
Rank correlation with discount rate0.02
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
₹ croreFY25FY26FY27FY28FY29FY30FY31
Revenue292327366410460515576
growth %11.912.012.012.012.012.0
EBITDA56485360677584
margin %19.114.614.614.614.614.614.6
less depreciation(3)(4)(5)(5)(6)(7)(7)
EBIT53444955616877
less tax on EBIT(9)(10)(11)(12)(14)(15)
NOPAT353944495561
add depreciation3455677
less capex(5)(2)(3)(4)(5)(7)(9)
less working-capital build(36)(40)(45)(51)(57)
Free cash flow to firm(68)55443
Discount factor0.9490.8550.7700.6940.625
Present value54332
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 11, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT444955616877
Interest at 12.9% on debt(1)(1)(1)(1)(1)
Profit before tax4753606775
Profit after tax363843485460
Dividends000000
Balance sheet, year end
Cash4812151820
Working capital301337377422473530
Net block and other assets878584838385
Debt111111111111
Equity361399442489543603
Balance check0(0)(0)000
Cash flow
From operations7791011
Investing (capex)(3)(4)(5)(7)(9)
Financing (dividends)00000
Net change in cash44332
Free cash flow to equity44332
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 · editingDCF12%14.6%11.00%5%11(87.8)%
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.