Sea (SE) Consolidated Net Income (2016 - 2026)
Sea's Consolidated Net Income was $1.17 billion in the quarter ended Jun 30, 2026, up 20.0% from $973.3 million a year earlier and up 34.4% from the prior quarter.
Sea (SE) Consolidated Net Income (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sea's Consolidated Net Income was $3.91 billion through Jun 30, 2026, down 97.5% year-over-year; for the year ended Dec 31, 2025, it came in at $1.61 billion, up 259.7% from the prior year.
- In earlier years, Consolidated Net Income was $447.83 million in the year ended Dec 31, 2024 (+175.3%), $162.68 million in the year ended Dec 31, 2023, -$1.66 billion in the year ended Dec 31, 2022 and -$2.04 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Consolidated Net Income since the quarter ended Sep 30, 2024.
- Compared with a year earlier, Consolidated Net Income has increased for three straight quarters, with growth averaging 75.1% over the last five quarters.
- Per Business Quant data, SE's Consolidated Net Income in the three quarters before the quarter ended Jun 30, 2026 was $868.77 million (quarter ended Mar 31, 2026), $836.73 million (quarter ended Dec 31, 2025) and $1.04 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 26.47 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 9.86 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 3.66 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 1.54 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 462.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 569.00 Mn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 1.44 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 595.92 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 2.72 Bn |
| 10 | Sea | 44.87 Bn | 4.76 Bn | 3.55 Bn | 1.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 868.77 Mn |
| Dec 31, 2025 | 836.73 Mn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 973.30 Mn |
| Mar 31, 2025 | 410.83 Mn |
| Dec 31, 2024 | 237.59 Mn |
| Sep 30, 2024 | 153.32 Bn |
| Jun 30, 2024 | 509.09 Mn |
| Mar 31, 2024 | -23.00 Mn |
| Dec 31, 2023 | -111.62 Mn |
| Sep 30, 2023 | -143.98 Bn |
| Jun 30, 2023 | 330.98 Bn |
| Mar 31, 2023 | 87.29 Mn |
| Dec 31, 2022 | 422.84 Mn |
| Sep 30, 2022 | -569.28 Bn |
| Jun 30, 2022 | -931.20 Bn |
| Mar 31, 2022 | -580.14 Mn |
| Dec 31, 2021 | -616.29 Mn |
| Sep 30, 2021 | -570.98 Bn |
Sea Consolidated Net Income 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=consolidated-net-income&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();