Sea (SE) Change in Accured Expenses (2018 - 2020)
Sea's Change in Accured Expenses was $650.15 million in the year ended Dec 31, 2025, up 24.4% from $522.79 million a year earlier.
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Analysis
Sea (SE) Change in Accured Expenses (2018 - 2020) Analysis & Trends
From the year ended Dec 31, 2015 onward, Sea has reported Change in Accured Expenses for 11 years.
- Change in Accured Expenses shows a five-year compound annual growth rate of 5.6% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the highest annual Change in Accured Expenses in data going back to the year ended Dec 31, 2015.
- Per Business Quant data, Change in Accured Expenses in earlier years was $522.79 million in the year ended Dec 31, 2024 (+14.9%), $455.09 million in the year ended Dec 31, 2023, -$39.07 million in the year ended Dec 31, 2022 and $545.69 million in the year ended Dec 31, 2021 (+10.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn | -1.25 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 | 447.00 Mn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 2.38 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 |
|---|---|
| Dec 31, 2020 | -27.76 Mn |
| Sep 30, 2020 | 197.68 Mn |
| Jun 30, 2020 | 329.79 Mn |
| Mar 31, 2020 | -4.79 Mn |
| Dec 31, 2019 | 131.01 Mn |
| Mar 31, 2019 | 43.72 Mn |
| Dec 31, 2018 | 121.24 Mn |
API Access
Sea Change in Accured 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=change-in-accured-expenses&ticker=SE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();