Dlaboratory Sweden AB
Research Dlaboratory Sweden AB (DLAB) on Bullrun: market cap SEK 51.51M, P/E 3.0. Explore financials, valuation history, model signals, and stock context.
Key Metrics
- TickerDLAB
- ExchangeST
- CountrySweden
- SectorUtilities
- IndustryUtilities - Renewable
- CurrencySEK
- Market capSEK 51.51M
- P/E3.0
- Financial periodQ1 2026
- RevenueSEK 2.96M
- Net incomeSEK 19.92M
- Free cash flowSEK 15.35M
- Gross margin109.7%
Valuation Snapshot
latest market cap is SEK 51.51M; P/E is 3.0.
Peer valuation comparison
Latest P/E is 3.02x versus a Utilities sector median of 17.14x (82.4% below).
Latest P/E is 3.02x versus a Sweden median of 18.57x (83.7% below).
Five-year financial history
| Year | Revenue | Net income | Free cash flow | Gross margin | Diluted EPS | Cash | Total debt | Equity |
|---|---|---|---|---|---|---|---|---|
| FY2025 | SEK 44.09M | -SEK 7.65M | -SEK 77.00K | 93.1% | -0.46 | SEK 5.65M | SEK 0 | SEK 3.52M |
Valuation history
| Year | Snapshot date | Market cap | P/E | Dividend yield | Annual dividend/share |
|---|---|---|---|---|---|
| 2026 | 2026-08-24 | SEK 51.51M | 3.0 | n/a | n/a |
About Dlaboratory Sweden AB
Dlaboratory Sweden AB (publ), a SaaS company, provides inspection services for the energy sector in Sweden. The company offers dLab platform, an intelligent digital platform that provides data used for detecting vegetation on overhead power lines; finding faulty components; identifying unused capacity, bottlenecks, and power quality issues in the grid; and collecting data for carrying out maintenance.
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Frequently asked questions
What is Dlaboratory Sweden AB's market cap?
Dlaboratory Sweden AB's market capitalization is SEK 51.51M.
What is Dlaboratory Sweden AB's P/E ratio?
Dlaboratory Sweden AB's price-to-earnings (P/E) ratio is 3.0.
What does Dlaboratory Sweden AB do?
Dlaboratory Sweden AB (publ), a SaaS company, provides inspection services for the energy sector in Sweden. The company offers dLab platform, an intelligent digital platform that provides data used for detecting vegetation on overhead power lines; finding faulty components; identifying unused capacity, bottlenecks, and power quality issues in the grid; and collecting data for carrying out maintenance.