Sea (SE) Price to Earnings (2023 - 2026)
Sea's (SE) Price to Earnings came in at 35.36 for the quarter ended Jun 30, 2026, down 50.9% from 71.98 a year earlier but up 12.7% from the prior quarter.
Sea (SE) Price to Earnings (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Sea's Price to Earnings stood at 48.47, down 62.5% from the prior year.
- In prior years, Sea's Price to Earnings was 129.32 in the year ended Dec 31, 2024 (-15.9%) and 153.79 in the year ended Dec 31, 2023.
- Quarterly Price to Earnings has run from a low of 31.39 in the quarter ended Mar 31, 2026 to a high of 635.58 in the quarter ended Mar 31, 2024 over five years.
- On a year-over-year basis, Price to Earnings has declined in each of the last four quarters, with an average decline of 59.9% over the last six quarters.
- According to Business Quant data, Price to Earnings for the three prior quarters was 31.39 (quarter ended Mar 31, 2026), 49.11 (quarter ended Dec 31, 2025) and 67.96 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn |
| 10 | Sea | 58.10 Bn | 17.99 Bn | 3.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.86 |
| Mar 31, 2026 | 30.93 |
| Dec 31, 2025 | 48.45 |
| Sep 30, 2025 | 67.58 |
| Jun 30, 2025 | 71.50 |
| Mar 31, 2025 | 80.45 |
| Dec 31, 2024 | 128.98 |
| Sep 30, 2024 | 540.51 |
| Mar 31, 2024 | 573.49 |
| Dec 31, 2023 | 140.19 |
| Sep 30, 2023 | 35.36 |
| Jun 30, 2023 | 116.83 |
Sea Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();