Lyka Labs Ltd Share Price Target
Share price forecasts explained through historical ranges and business assumptions.
25 September 2026, 8:54 pm +05:30
Financial reporting gap. Latest stored annual results: Mar 2025; quarter: Dec 2025. Check newer filings before relying on scenarios. Data & sources
Short-term price outlook
Central 80% of past moves, applied to the reference price. Future outcomes can fall outside this range.
Historical median ₹81.44 · 2026-10-28 · 181 matched moves
-20.7% to +7.3% from the reference price
Average error: 8.24% for the model vs 9.36% for using the last price, across 117 historical tests. Future accuracy is unproven.
Inspect the prediction record →Hover, tap or use arrow keys to inspect each horizon.
All horizons, target dates & calculation notes
| Horizon | Target session | Historical median | Central historical range | Matched moves |
|---|---|---|---|---|
| Next session1 regular session | 2026-09-28 | ₹85.71 | ₹82.95 – ₹88.42 | 195 |
| 1 week5 regular sessions | 2026-10-05 | ₹84.13 | ₹78.41 – ₹90.20 | 193 |
| 1 month21 regular sessions | 2026-10-28 | ₹81.44 | ₹68.03 – ₹92.10 | 181 |
| 3 months63 regular sessions | 2026-12-30 | ₹71.97 | ₹58.02 – ₹92.53 | 152 |
Uses regular NSE sessions; special/Muhurat sessions are excluded. Historical windows can overlap and are not independent samples. Calendar verified through 2026; unknown future dates are not guessed.
Where do historical outcomes cluster?
Taller bars mean that price band occurred more often when past returns are applied to the reference price. This expected-price distribution describes history, not your probability of profit.
Hover, tap or use arrow keys to inspect price bands.
How to read this distribution
Dashed line: reference price. This is an empirical probability estimate under the assumption that past moves remain representative. It is not a calibrated forecast probability. Overlapping windows are dependent; news, regime changes and unobserved tail events can invalidate it. The full observed tails remain included.
What supports—or challenges—the target?
There are no earnings results within the last six months. Newer filings are needed. The annual history contains non-positive earnings. A positive median is only a through-cycle reference; recent losses require a separate turnaround review. The latest reported quarter has missing or non-positive profit. The estimate is based on longer-period earnings and needs a turnaround or cyclicality review.
View valuation safeguards and model eligibility →Quarterly net margin
-0.49%-8.48 pp year on year
Dec 2025 vs Dec 2024Why it matters & source
Each ₹100 of revenue produced ₹-0.49 of reported net profit. Compare the change with tax and other-income movements.
Net profit ÷ revenue × 100. Change is in percentage points (pp), not percent growth.
Current: ₹-0.15 Cr profit / ₹30.73 Cr revenue. Prior: ₹2.70 Cr / ₹33.80 Cr.
View the source financial table →Revenue momentum gap
-9.84ppLatest quarter -9.1% · trailing year +0.8%
Eight consecutive quarters ending Dec 2025Why it matters & source
The latest quarter grew more slowly than the four-quarter trend. This comparison describes momentum; it does not predict the next quarter.
Latest-quarter revenue YoY growth minus revenue growth of the latest four quarters against the preceding four.
Latest quarter: ₹30.73 Cr vs ₹33.80 Cr. Four-quarter totals: ₹133.85 Cr vs ₹132.84 Cr.
View the source financial table →Interest coverage
6.50×Earnings before interest and tax / interest
Mar 2025 · annual P&LWhy it matters & source
Reported earnings before interest and tax cover the interest expense 6.5 times. Other income is included; principal repayments are not.
(Profit before tax + interest expense) ÷ interest expense.
Profit before tax: ₹11.00 Cr. Interest: ₹2.00 Cr.
View the source financial table →Borrowings / book equity
0.53×₹52.69 borrowed per ₹100 of equity
Mar 2026 · balance sheetWhy it matters & source
This compares reported borrowings with equity capital plus reserves. It is gross borrowing, not net debt; reserves are not cash.
Borrowings ÷ (equity capital + reserves), from the same balance-sheet date.
Borrowings: ₹49.00 Cr. Equity capital: ₹36.00 Cr. Reserves: ₹57.00 Cr.
View the source financial table →Cash cycle change
29.00days98 days now · 69 days before
Mar 2025 vs Mar 2024Why it matters & source
A shorter cycle can reduce the time cash is tied up in operations. A longer supplier-payment period can also shorten it, so read the components.
Cash cycle = debtor days + inventory days − payable days. Change = current cycle − prior-year cycle.
Current: 114 + 82 − 98 days. Prior: 89 + 78 − 98 days.
View the source financial table →What would change the scenario?
- Earnings: a weaker EPS path lowers the target even if the valuation multiple holds.
- Valuation: a lower future P/E can offset earnings growth. Compare peers and the quality of those earnings.
- Business evidence: revisit assumptions after new results, cash-flow changes and financing updates. The measures above explain the current stored evidence, not future outcomes.
Missing evidence and limitations
- Cash backing needs three consecutive matching years, with positive profit in each year.
What must happen to reach the target?
Explore how earnings growth and the price investors pay for those earnings change the outcome. These scenarios depend on your assumptions; they are not assigned probabilities.
An earnings-multiple scenario needs a positive, usable price and P/E. These inputs are missing, unsuitable or inconsistent with the latest history, so no EPS-based target is generated. Use the company's financial and valuation analysis instead.
Explore applicable valuation methods →How close were predictions to actual prices?
Predicted price vs actual price: a smaller gap means a closer estimate. Choose a source to distinguish earlier saved predictions, historical tests and forecasts actually published by this model.
Restored stored predictions matched to the same target date as each actual observation. Legacy horizons and issuance cutoffs were not consistently recorded; these values are preserved for inspection, not certified as an out-of-sample performance record.
Hover, tap or use arrow keys to inspect the date, actual price, prediction and error.
Historical test results & reliability by horizon
The table reconstructs each historical forecast using only price observations available before its target date. “Last price” is the simple benchmark. Lower error is better; interval coverage shows how often outcomes fell inside the historical range.
| Horizon | Model error (MAPE) | Last-price error | Range coverage | Evaluations |
|---|---|---|---|---|
| Next session | 1.84% | 1.84% | 86.3% | 146 |
| 1 week | 3.41% | 3.70% | 91.3% | 138 |
| 1 month | 8.24% | 9.36% | 79.5% | 117 |
| 3 months | 15.32% | 22.86% | 93.6% | 78 |
The one-session historical median had lower error than the last-price benchmark in this reconstruction. This does not establish future skill. Evaluated target dates: 2025-02-13–2026-09-25.
How to interpret these tests
At least 126 earlier regular sessions and 40 matched historical moves are required at each origin. Quantiles use at most the previous 504 regular sessions, with no future endpoints. Missing endpoints are skipped. Multi-session tests overlap; counts are not independent trials. An 80% historical band is not guaranteed to cover 80% of future prices.
This reconstruction uses the database as it exists today, including any later corrections. Price observations are stored feed updates, not verified official closes or a certified adjusted-price series. It is not a live trading record, and it excludes fees, dividends and execution effects.
Published forecast ledger & pending targets
The first published range for each stock, day and horizon is saved separately and never overwritten. Later intraday changes may differ from that first issue. No earlier performance is backfilled as a live result.
| Issued | Target | Sessions | Published range | Later observation |
|---|---|---|---|---|
| 2026-09-26 14:02:06 | 2026-09-28 | 1 | ₹82.95 – ₹88.42 | Pending |
| 2026-09-26 14:02:06 | 2026-10-05 | 5 | ₹78.41 – ₹90.20 | Pending |
| 2026-09-26 14:02:06 | 2026-10-28 | 21 | ₹68.03 – ₹92.10 | Pending |
| 2026-09-26 14:02:06 | 2026-12-30 | 63 | ₹58.02 – ₹92.53 | Pending |
Data, sources & method
Quote records and financial statements refresh independently. Check the reporting dates before using a scenario.
View data dates, methodology & source links
Price history
286 usable daily observations from 2024-08-12 to 2026-09-25. We retain the last actual record per regular session, exclude forecast-only and ambiguous prediction rows, and do not fill missing prices. The 10th/50th/90th percentiles of matched horizon returns produce the range and historical median.
Business assumptions
Scenario price = reference price × (1 + annual EPS growth)years × future P/E ÷ current P/E. Assumptions are editable and explicitly separate from observed results. Model valuation is an estimate, not a promised destination.
Data freshness
Annual: Mar 2025. Quarterly: Dec 2025. Cash flow: Mar 2026. Sources refresh independently; check reporting basis, exceptional items and corporate actions.
Sources: Company data source. Check the company filings linked by the source for the reporting basis and exceptional items.
Produced automatically by Getaka from stored data using method 2.0.0. There is no analyst consensus claim or human-review claim. Unexpected news, policy changes and company events can move prices outside these ranges.
Lyka Labs Ltd target questions
What is the share price target for Lyka Labs Ltd?
There is no single dependable target. Use the dated short-term historical ranges for price variation and the earnings/P/E scenarios for longer-term assumptions. The reference price is ₹85.80; actual outcomes may differ materially.
Does intrinsic value predict the next market price?
No. Intrinsic value depends on a valuation method and its inputs. It does not predict when investors will change the price or guarantee convergence.
How reliable are the price ranges?
Reliability depends on data coverage and the horizon. The chronological tests above show error against a last-price benchmark and observed interval coverage. The separate published record starts with this model version; a heuristic percentage is not presented as confidence.
What should I check before using a long-term scenario?
Check the dated earnings trend, cash generation, financing exposure and future valuation multiple. Revisit the assumptions when new filings arrive. A mathematically possible price is not evidence that the business will deliver it.
How to assess Lyka Labs Ltd share price targets
Compare the growth and valuation assumptions with reported profitability, debt and operating cash flow. A higher projected price needs supporting business performance; weaker earnings or a lower valuation multiple can produce a different outcome.
Start with Lyka Labs Ltd fundamentals and financial statements, then review what the P/E ratio measures and alternative intrinsic-value methods.