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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Sea | 58.10 Bn | 17.99 Bn | 3.55 Bn | -394.39 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();