Models
HIMALAYA FOOD INTERNATIONAL LIBSE 526899Agricultural Food & other Products
₹6per 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₹6implied FY24 P/E 6.7× · EV/EBITDA 6.0×
Against CMP ₹8.07−24.4%close of 8 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 FY2951%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
₹5₹8
52-week rangetraded range, a fact not a value
₹7₹12
From enterprise to equity · ₹ crore
| PV of FY25–FY29 free cash flow | 26 |
| PV of terminal value | 27 |
| Enterprise value | 53 |
| less net debt | (1) |
| less non-controlling interest | 0 |
| add non-operating investments | 0 |
| Equity value | 52 |
| ÷ 8.48 crore shares | ₹6 |
Free cash flow, filed and modelled · ₹ '000 crore
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% | 6 | 7 | 7 | 7 | 8 |
| 10.50% | 6 | 6 | 6 | 7 | 7 |
| 11.00% | 6 | 6 | 6 | 6 | 7 |
| 11.50% | 5 | 6 | 6 | 6 | 6 |
| 12.00% | 5 | 5 | 5 | 6 | 6 |
The outlined cell is your model. Green figures sit above the CMP of ₹8.07; 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
| 10th · 50th · 90th percentile, ₹ per share | 5 · 6 · 8 |
| Draws below the CMP | 95% |
| Rank correlation with ebitda margin | +0.93 |
| Rank correlation with discount rate | −0.35 |
| Rank correlation with revenue growth | −0.02 |
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| ₹ crore | FY23 | FY24 | FY25 | FY26 | FY27 | FY28 | FY29 |
|---|---|---|---|---|---|---|---|
| Revenue | 68 | 45 | 43 | 40 | 38 | 36 | 35 |
| growth % | — | (34.0) | (5.0) | (5.0) | (5.0) | (5.0) | (5.0) |
| EBITDA | (47) | 9 | 8 | 8 | 8 | 7 | 7 |
| margin % | (69.7) | 19.6 | 19.6 | 19.6 | 19.6 | 19.6 | 19.6 |
| less depreciation | (7) | (6) | (6) | (6) | (5) | (5) | (5) |
| EBIT | (54) | 2 | 2 | 2 | 2 | 2 | 2 |
| less tax on EBIT | 0 | 0 | 0 | 0 | 0 | 0 | |
| NOPAT | 3 | 3 | 3 | 2 | 2 | 2 | |
| add depreciation | 7 | 6 | 6 | 6 | 5 | 5 | 5 |
| less capex | 0 | 0 | 0 | (2) | (3) | (5) | (6) |
| less working-capital build | — | 2 | 2 | 2 | 1 | 1 | |
| Free cash flow to firm | 7 | — | 10 | 8 | 6 | 4 | 3 |
| Discount factor | 0.949 | 0.855 | 0.770 | 0.694 | 0.625 | ||
| Present value | 10 | 7 | 5 | 3 | 2 |
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
| ₹ crore | FY24 | FY25 | FY26 | FY27 | FY28 | FY29 |
|---|---|---|---|---|---|---|
| Income statement | ||||||
| EBIT | 2 | 2 | 2 | 2 | 2 | 2 |
| Interest at 8% on debt | 0 | 0 | 0 | 0 | 0 | |
| Profit before tax | 2 | 2 | 2 | 2 | 2 | |
| Profit after tax | 5 | 3 | 3 | 2 | 2 | 2 |
| Dividends | 0 | 0 | 0 | 0 | 0 | 0 |
| Balance sheet, year end | ||||||
| Cash | (1) | 10 | 18 | 24 | 28 | 31 |
| Working capital | 34 | 32 | 31 | 29 | 28 | 26 |
| Net block and other assets | 175 | 169 | 165 | 162 | 162 | 163 |
| Debt | 0 | 0 | 0 | 0 | 0 | 0 |
| Equity | 138 | 141 | 143 | 146 | 148 | 150 |
| Balance check | 0 | 0 | 0 | 0 | 0 | (0) |
| Cash flow | ||||||
| From operations | 10 | 10 | 9 | 9 | 8 | |
| Investing (capex) | 0 | (2) | (3) | (5) | (6) | |
| Financing (dividends) | 0 | 0 | 0 | 0 | 0 | |
| Net change in cash | 10 | 8 | 6 | 4 | 3 | |
| Free cash flow to equity | 10 | 8 | 6 | 4 | 3 | |
Other liabilities are held at their FY24 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
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | DCF | -5% | 19.6% | 11.00% | 5% | ₹6 | (24.4)% |
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.