Sea (SE) Accumulated Expenses (2016 - 2026)
Sea (SE) reported Accumulated Expenses of $74.94 million for the quarter ended Jun 30, 2026, down 17.3% from $90.64 million a year earlier but up 3.5% from the prior quarter.
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Analysis
Sea (SE) Accumulated Expenses (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Sea posted Accumulated Expenses of $108.3 million, up 527.5% from the prior year.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 114.9% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $17.26 million in the year ended Dec 31, 2024 (+1.6%), $16.98 million in the year ended Dec 31, 2023 (+36.0%), $12.49 million in the year ended Dec 31, 2022 (+103.3%) and $6.14 million in the year ended Dec 31, 2021 (+160.0%).
- Five-year quarterly Accumulated Expenses spans a low of $6.14 million in the quarter ended Dec 31, 2021 and a high of $108.3 million in the quarter ended Dec 31, 2025.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 67.6%.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2025 (growth of 527.5%); the low point was the quarter ended Jun 30, 2026 (a decline of 17.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $72.44 million (quarter ended Mar 31, 2026), $108.3 million (quarter ended Dec 31, 2025) and $92.44 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn |
| 10 | Sea | 58.10 Bn | 17.99 Bn | 3.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.45 Bn |
| Mar 31, 2026 | 2.94 Bn |
| Dec 31, 2025 | 3.16 Bn |
| Sep 30, 2025 | 2.63 Bn |
| Jun 30, 2025 | 2.42 Bn |
| Mar 31, 2025 | 2.16 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 2.15 Bn |
| Jun 30, 2024 | 1.80 Bn |
| Mar 31, 2024 | 1.82 Bn |
| Dec 31, 2023 | 1.83 Bn |
| Sep 30, 2023 | 1.60 Bn |
| Jun 30, 2023 | 1.41 Bn |
| Mar 31, 2023 | 1.28 Bn |
| Dec 31, 2022 | 1.40 Bn |
| Sep 30, 2022 | 4.25 Bn |
| Jun 30, 2022 | 3.84 Bn |
| Mar 31, 2022 | 3.52 Bn |
| Dec 31, 2021 | 1.52 Bn |
| Sep 30, 2021 | 2.85 Bn |
API Access
Sea Accumulated Expenses 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=accumulated-expenses&ticker=SE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();