Lilama 10 JSC
LILAMA 10 Joint Stock Company designs and manufactures pre-engineered steel building and steel structures for use in electrical and cement works, oil refining, energy, and steel electric poles primarily in Vietnam. It also provides storage tanks for petroleum, chemical, and food storage; and industrial equipment, including cranes, lifting gantry cranes, ventilation, heating, filtration systems du… Read more
Market Cap & Net Worth: Lilama 10 JSC (L10)
Lilama 10 JSC (VN:L10) has a market capitalization of $7.16K (₫181.83 Million) as of April 4, 2026. Listed on the VN stock exchange, this Vietnam-based company holds position #29781 globally and #259 in its home market, demonstrating a 0.00% increase in market value over the past year.
Market capitalization, also known as net worth in stock markets, is calculated by multiplying Lilama 10 JSC's stock price ₫19100.00 by its total outstanding shares 9520 (9.52K).
Lilama 10 JSC Market Cap History: 2015 to 2024
Lilama 10 JSC's market capitalization history from 2015 to 2024. Data shows growth from $3.40K to $7.16K (9.11% CAGR).
Lilama 10 JSC Market Cap to Earnings & Revenue Ratios Timeline
This chart shows how Lilama 10 JSC's valuation ratios have evolved. The Price to Sales (P/S) ratio compares market cap to revenue, while the Price to Earnings (P/E) ratio compares market cap to net income. Lower values may indicate a more undervalued company relative to its financial performance.
Latest Price to Sales (P/S) Ratio
No P/S ratio data available
Latest Price to Earnings (P/E) Ratio
No P/E ratio data available
What These Ratios Tell Investors:
- Price to Sales (P/S) Ratio: Shows how much investors are paying for each dollar of the company's sales. Lower P/S ratios may indicate undervaluation.
- Price to Earnings (P/E) Ratio: Shows how much investors are paying for each dollar of the company's earnings. This is one of the most common valuation metrics.
- Trends in these ratios over time can indicate changing investor sentiment about the company's future growth prospects.
- Industry comparison provides context for whether the company is valued higher or lower than peers.
| Year | Market Cap (USD) | Revenue (USD) | Net Income (USD) | P/S Ratio | P/E Ratio |
|---|---|---|---|---|---|
| No financial ratio data available | |||||
Competitor Companies of L10 by Market Capitalization
Companies near Lilama 10 JSC in the global market cap rankings as of April 4, 2026.
Key companies related to Lilama 10 JSC by market ranking:
- Quanta Services Inc (NYSE:PWR): Ranked #261 globally with a market cap of $78.15 Billion USD.
- Vinci S.A. (PA:DG): Ranked #393 globally with a market cap of $55.18 Billion USD ( €53.75 Billion EUR).
- VINCI SA (PINK:VCISF): Ranked #413 globally with a market cap of $52.29 Billion USD.
- Comfort Systems USA Inc (NYSE:FIX): Ranked #458 globally with a market cap of $47.20 Billion USD.
| Rank | Company | Symbol | Market Cap | Price |
|---|---|---|---|---|
| #261 | Quanta Services Inc | NYSE:PWR | $78.15 Billion | $560.63 |
| #393 | Vinci S.A. | PA:DG | $55.18 Billion | €131.60 |
| #413 | VINCI SA | PINK:VCISF | $52.29 Billion | $128.00 |
| #458 | Comfort Systems USA Inc | NYSE:FIX | $47.20 Billion | $1417.19 |
Lilama 10 JSC Historical Marketcap From 2015 to 2024
Between 2015 and today, Lilama 10 JSC's market cap moved from $3.40K to $ 7.16K, with a yearly change of 9.11%.
| Year | Market Cap | Change (%) |
|---|---|---|
| 2024 | ₫7.16K | +0.46% |
| 2023 | ₫7.12K | -16.36% |
| 2022 | ₫8.52K | -7.08% |
| 2021 | ₫9.17K | +61.80% |
| 2020 | ₫5.67K | +38.61% |
| 2019 | ₫4.09K | -48.45% |
| 2018 | ₫7.93K | +87.15% |
| 2017 | ₫4.24K | +18.28% |
| 2016 | ₫3.58K | +5.30% |
| 2015 | ₫3.40K | -- |
End of Day Market Cap According to Different Sources
On Nov 27th, 2025 the market cap of Lilama 10 JSC was reported to be:
| Source | Market Cap |
|---|---|
| Yahoo Finance | $7.16K USD |
| MoneyControl | $7.16K USD |
| MarketWatch | $7.16K USD |
| marketcap.company | $7.16K USD |
| Reuters | $7.16K USD |
Market cap values may vary slightly between sources due to differences in calculation methods, timing, and data refresh rates.