Sea (SE) Operating Income (2016 - 2026)
Sea (SE) reported Operating Income of $650.33 million for the quarter ended Jun 30, 2026, up 33.3% from $487.72 million a year earlier and up 9.7% from the prior quarter.
Sea (SE) Operating Income (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sea's Operating Income came in at $2.28 billion, up 57.3% year-over-year; for the year ended Dec 31, 2025, it was $1.99 billion, up 199.8% from the prior year.
- By year, Operating Income came in at $662.15 million in the year ended Dec 31, 2024 (+194.6%), $224.78 million in the year ended Dec 31, 2023, -$1.49 billion in the year ended Dec 31, 2022 and -$1.58 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Operating Income in data going back to the quarter ended Sep 30, 2016.
- Year over year, Operating Income has now increased in each of the last six quarters, with growth averaging 218.9% over the last six quarters.
- The high point for year-over-year Operating Income in five years was the quarter ended Mar 31, 2025 (growth of 542.0%); the low point was the quarter ended Jun 30, 2024 (a decline of 70.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $592.99 million (quarter ended Mar 31, 2026), $565.24 million (quarter ended Dec 31, 2025) and $475.95 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | 4.09 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 761.35 Mn |
| 10 | Sea | 58.10 Bn | 17.99 Bn | 3.55 Bn | 650.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 650.33 Mn |
| Mar 31, 2026 | 592.99 Mn |
| Dec 31, 2025 | 565.24 Mn |
| Sep 30, 2025 | 475.95 Mn |
| Jun 30, 2025 | 487.72 Mn |
| Mar 31, 2025 | 456.40 Mn |
| Dec 31, 2024 | 305.75 Mn |
| Sep 30, 2024 | 202.42 Mn |
| Jun 30, 2024 | 82.89 Mn |
| Mar 31, 2024 | 71.09 Mn |
| Dec 31, 2023 | -56.52 Mn |
| Sep 30, 2023 | -127.74 Bn |
| Jun 30, 2023 | 283.81 Mn |
| Mar 31, 2023 | 125.22 Mn |
| Dec 31, 2022 | 342.86 Mn |
| Sep 30, 2022 | -495.64 Bn |
| Jun 30, 2022 | -836.70 Bn |
| Mar 31, 2022 | -498.03 Mn |
| Dec 31, 2021 | -442.08 Mn |
| Sep 30, 2021 | -458.56 Bn |
Sea Operating 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=operating-income&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();