STL Networks (STLNETWORK)

Turnaround

FairStock Score: 6/100 — RISKY

Score breakdown: P/E: 0/3 · ROCE: 0/2 · Growth: 2/2 · Dividend: 0/1

Key Financials

Current Price₹25.78
Market Cap₹1,258.33 Cr
P/E Ratio0
ROCE0%
ROE—%
Dividend Yield0%
Profit Growth54.89%
Debt/Equity1.17
Sales Growth-9.2%
Promoter Holding44.16%
52-Week Range₹15.75 — ₹36.54
SectorTelecom - Services
Book Value₹16.4

Strengths

Concerns

AI Analysis

Let's start with what I don't know: STL Networks' P/E of 0.00 tells me the market is not paying for earnings because there are no meaningful earnings. The latest quarter shows sales of ₹335 Cr but a net loss of ₹11 Cr. That is a red flag. Graham would say the first rule is not to lose money; a telecom services firm with ROCE of 0.00% and ROE N/A is not compounding capital. Book value is ₹17.48 and the price is ₹31.65, so I am paying 1.81 times book for a business that earns nothing. Debt/equity of 0.96 is not terrible, but with zero return on capital, leverage only adds risk. Promoter holding at 44.16% is acceptable, but it does not compensate for absent profits. Sales grew 16.48%, and reported profit growth of 54.89% catches the eye; however, when the base is a loss, percentage growth can mislead. In the latest quarter, they still lost ₹11 Cr. The Piotroski score of 6/9 suggests some balance sheet improvement, but that is a weak offset to a FairStock score of 9/100, which screams risky. The 52-week range is ₹15.75 to ₹35.40; at ₹31.65 I am near the top, not buying a bargain. Dividend yield is zero, so management is not returning cash. This is not a quality compounder. It could be a turnaround if the loss narrows and capital discipline appears, but I need evidence of steady return on capital, not just revenue growth. In Buffett's language, this is a business with no visible moat, no pricing power, and no current earnings to support the valuation. I would rather wait until STL Networks proves it can convert sales into profits across a full cycle. The margin of safety is absent.

Data from BSE/NSE filings. AI analysis is for educational purposes only — not investment advice. Scoring methodology · Disclaimer