Sea (SE) Revenue (2016 - 2026)
Sea (SE) recorded Revenue of $7.13 billion in the quarter ended Jun 30, 2026, up 48.6% from $4.8 billion a year earlier and up 0.5% from the prior quarter.
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Analysis
Sea (SE) Revenue (2016 - 2026) Analysis & Trends
On a TTM basis, Sea's Revenue came in at $26.55 billion as of Jun 30, 2026, up 43.5% year-over-year; for the year ended Dec 31, 2025, it came in at $22.94 billion, up 36.4% from the prior year.
- Annual Revenue has increased for 11 straight years, with a five-year compound annual growth rate of 39.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Revenue came in at $16.82 billion in the year ended Dec 31, 2024 (+28.8%), $13.06 billion in the year ended Dec 31, 2023 (+4.9%), $12.45 billion in the year ended Dec 31, 2022 (+25.1%) and $9.96 billion in the year ended Dec 31, 2021 (+127.5%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Revenue in data going back to the quarter ended Sep 30, 2016.
- On a year-over-year basis, Revenue has increased for 36 consecutive quarters, with growth averaging 37.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 4.8% (the quarter ended Dec 31, 2023) to 121.8% (the quarter ended Sep 30, 2021).
- Per Business Quant, the preceding three quarters came in at $7.1 billion (quarter ended Mar 31, 2026), $6.85 billion (quarter ended Dec 31, 2025) and $5.47 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,464.49 Bn | 3,199.40 Bn | 76.16 Bn | 127.58 Bn |
| 2 | Meta Platforms | 1,568.14 Bn | 1,232.66 Bn | 51.23 Bn | 64.60 Bn |
| 3 | Netflix | 262.91 Bn | 224.21 Bn | 6.80 Bn | 12.87 Bn |
| 4 | Alibaba Group Holding | 253.66 Bn | 67.30 Bn | 15.16 Bn | 39.64 Bn |
| 5 | Shopify | 191.10 Bn | 169.90 Bn | 1.78 Bn | 3.74 Bn |
| 6 | Uber Technologies | 139.30 Bn | 110.12 Bn | 6.42 Bn | 14.77 Bn |
| 7 | AppLovin | 132.51 Bn | 121.04 Bn | 1.94 Bn | 2.18 Bn |
| 8 | Spotify Technology | 123.68 Bn | 80.60 Bn | 1.89 Bn | 5.72 Bn |
| 9 | Booking Holdings | 121.70 Bn | 55.45 Bn | - | 8.89 Bn |
| 10 | Sea | 44.61 Bn | 4.50 Bn | 3.55 Bn | 7.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.13 Bn |
| Mar 31, 2026 | 7.10 Bn |
| Dec 31, 2025 | 6.85 Bn |
| Sep 30, 2025 | 5.47 Bn |
| Jun 30, 2025 | 4.80 Bn |
| Mar 31, 2025 | 4.84 Bn |
| Dec 31, 2024 | 4.95 Bn |
| Sep 30, 2024 | 3.91 Bn |
| Jun 30, 2024 | 3.46 Bn |
| Mar 31, 2024 | 3.73 Bn |
| Dec 31, 2023 | 3.62 Bn |
| Sep 30, 2023 | 3.31 Bn |
| Jun 30, 2023 | 3.10 Bn |
| Mar 31, 2023 | 3.04 Bn |
| Dec 31, 2022 | 3.45 Bn |
| Sep 30, 2022 | 3.16 Bn |
| Jun 30, 2022 | 2.94 Bn |
| Mar 31, 2022 | 2.90 Bn |
| Dec 31, 2021 | 3.22 Bn |
| Sep 30, 2021 | 2.69 Bn |
API Access
Sea Revenue 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=revenue&ticker=SE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();