Kati Patang Lifestyle P/E Ratio
Kati Patang Lifestyle P/E ratio. Kati Patang Lifestyle (KATIPATANG) P/E ratio is not applicable — EPS (TTM) ₹-2.15, 6 consecutive loss quarters. See Information Technology peers with valid P/E ratios below.
P/E Ratio Status
N/A
Loss Making
Company is currently reporting losses
P/E Ratio Not Applicable
Company has been reporting losses for 6 consecutive quarters. P/E ratio cannot be calculated for loss-making companies.
Consecutive Loss Quarters: 6
Current EPS: ₹-2.15
Recent Quarterly Performance
| Quarter | EPS (₹) | Net Profit (₹ Cr) | Status |
|---|---|---|---|
| Mar 2026 | -0.85 | -4 | Loss |
| Jun 2026 | -0.29 | -1 | Loss |
| Sept 2025 | -0.45 | -2 | Loss |
| Mar 2025 | -0.69 | -2 | Loss |
| Jun 2025 | -0.34 | -1 | Loss |
| Dec 2025 | -0.79 | -3 | Loss |
| Sept 2024 | 0.09 | 0 | Profit |
| Mar 2024 | -0.31 | -1 | Loss |
Information Technology Peers with Valid P/E Ratios — KATIPATANG Comparison
Information Technology sector average P/E 50.44, median 21.53 — KATIPATANG excluded (negative EPS).
Sector Average PE
50.44
Sector Median PE
21.53
Lowest PE
1.55
Profitable Companies
213
| Company | Symbol | P/E Ratio | Market Cap (₹ Cr) | Valuation |
|---|---|---|---|---|
| Dev Information Technolo… | DEVIT | 1.55 | ₹120 | Low |
| Brightcom Group | BCG | 1.89 | ₹1,850 | Low |
| Softbpo Global Services | SOFTBPO | 2.1 | ₹5 | Low |
| Artificial Electronics I… | AEIM | 3.27 | ₹159 | Low |
| Sylph Industries | SYLPH | 3.33 | ₹26 | Low |
| TeleCanor Global | TELECANOR | 3.48 | ₹24 | Low |
| Vintron Informatics | VINTRON | 3.54 | ₹192 | Low |
| IRIS RegTech Solutions | IRIS | 3.63 | ₹450 | Low |
| ObjectOne Information Sy… | OONE | 4.13 | ₹8 | Low |
| Methodhub Software | METHODHUB | 4.15 | ₹134 | Low |
Related Analysis
- For live price, revenue and the complete fundamental profile, see Kati Patang Lifestyle share price today.
- Examine Kati Patang Lifestyle quarterly earnings for recent quarterly revenue, profit and EPS trends.
- Also explore KATIPATANG stock price history to track price trends across different timeframes.