Sea (SE) EBT (2016 - 2026)
Sea (SE) recorded EBT of $917.19 million in the quarter ended Jun 30, 2026, up 10.6% from $829.24 million a year earlier and up 40.1% from the prior quarter.
Sea (SE) EBT (2016 - 2026) Analysis & Trends
On a TTM basis, Sea's EBT came in at $3.07 billion as of Jun 30, 2026, up 37.8% year-over-year; for the year ended Dec 31, 2025, it was $2.28 billion, up 192.9% from the prior year.
- Across earlier years, EBT came in at $778.78 million in the year ended Dec 31, 2024 (+80.1%), $432.39 million in the year ended Dec 31, 2023, -$1.5 billion in the year ended Dec 31, 2022 and -$1.72 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EBT since the quarter ended Sep 30, 2023.
- On a year-over-year basis, EBT has increased for six consecutive quarters, with growth averaging 155.9% over the last seven quarters.
- Peak year-over-year performance for EBT in the last five years was growth of 918.9% in the quarter ended Mar 31, 2025, against a decline of 98.5% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $654.78 million (quarter ended Mar 31, 2026), $627.11 million (quarter ended Dec 31, 2025) and $874.25 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,441.41 Bn | 3,176.31 Bn | 76.16 Bn | 32.36 Bn |
| 2 | Meta Platforms | 1,546.51 Bn | 1,211.03 Bn | 51.23 Bn | 13.00 Bn |
| 3 | Netflix | 269.88 Bn | 231.18 Bn | 6.80 Bn | 4.32 Bn |
| 4 | Alibaba Group Holding | 251.04 Bn | 64.67 Bn | 15.16 Bn | 3.29 Bn |
| 5 | Shopify | 185.46 Bn | 164.27 Bn | 1.78 Bn | 499.00 Mn |
| 6 | Uber Technologies | 139.78 Bn | 111.58 Bn | 6.38 Bn | 3.28 Bn |
| 7 | Booking Holdings | 126.33 Bn | 60.08 Bn | - | 3.42 Bn |
| 8 | Spotify Technology | 126.29 Bn | 83.21 Bn | 1.89 Bn | 811.05 Mn |
| 9 | AppLovin | 119.11 Bn | 107.63 Bn | 1.94 Bn | 1.74 Bn |
| 10 | Sea | 45.03 Bn | 4.92 Bn | 3.55 Bn | 917.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 917.19 Mn |
| Mar 31, 2026 | 654.78 Mn |
| Dec 31, 2025 | 627.11 Mn |
| Sep 30, 2025 | 874.25 Mn |
| Jun 30, 2025 | 829.24 Mn |
| Mar 31, 2025 | 545.61 Mn |
| Dec 31, 2024 | 333.97 Mn |
| Sep 30, 2024 | 521.34 Mn |
| Jun 30, 2024 | 448.47 Mn |
| Mar 31, 2024 | 53.55 Mn |
| Dec 31, 2023 | -24.87 Mn |
| Sep 30, 2023 | 35.28 Bn |
| Jun 30, 2023 | 510.02 Mn |
| Mar 31, 2023 | 147.75 Mn |
| Dec 31, 2022 | 377.84 Mn |
| Sep 30, 2022 | -357.65 Bn |
| Jun 30, 2022 | -506.25 Bn |
| Mar 31, 2022 | -504.09 Mn |
| Dec 31, 2021 | -513.07 Mn |
| Sep 30, 2021 | -165.45 Bn |
Sea EBT 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=ebt&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();