Sea (SE) Selling, General & Administrative (2016 - 2026)
Sea's Selling, General & Administrative came in at -$394.39 million for the quarter ended Jun 30, 2026, compared with -$323.34 million a year earlier.
Sea (SE) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sea reported Selling, General & Administrative of -$1.53 billion; for the year ended Dec 31, 2025, it came in at -$1.36 billion.
- Going back by year, Selling, General & Administrative was -$1.27 billion in the year ended Dec 31, 2024, -$1.13 billion in the year ended Dec 31, 2023, -$1.44 billion in the year ended Dec 31, 2022 and -$987.87 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Selling, General & Administrative is -$405.18 billion (the quarter ended Sep 30, 2022) to -$232.6 million (the quarter ended Dec 31, 2023).
- Business Quant data shows SE's Selling, General & Administrative at -$403.83 million (quarter ended Mar 31, 2026), -$387.23 million (quarter ended Dec 31, 2025) and -$340.03 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 6.14 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 14.86 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 1.87 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 130.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 64.46 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 165.66 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 338.00 Mn |
| 10 | Sea | 44.87 Bn | 4.76 Bn | 3.55 Bn | 394.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 394.39 Mn |
| Mar 31, 2026 | 403.83 Mn |
| Dec 31, 2025 | 387.23 Mn |
| Sep 30, 2025 | 340.03 Mn |
| Jun 30, 2025 | 323.34 Mn |
| Mar 31, 2025 | 307.19 Mn |
| Dec 31, 2024 | 366.26 Mn |
| Sep 30, 2024 | 306.76 Mn |
| Jun 30, 2024 | 303.84 Mn |
| Mar 31, 2024 | 290.85 Mn |
| Dec 31, 2023 | 232.60 Mn |
| Sep 30, 2023 | 273.58 Bn |
| Jun 30, 2023 | 295.17 Bn |
| Mar 31, 2023 | 333.38 Mn |
| Dec 31, 2022 | 352.32 Mn |
| Sep 30, 2022 | 405.18 Bn |
| Jun 30, 2022 | 364.45 Bn |
| Mar 31, 2022 | 315.67 Mn |
| Dec 31, 2021 | 284.07 Mn |
| Sep 30, 2021 | 294.85 Bn |
Sea Selling, General & Administrative 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=selling-general-and-administrative&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();