Sea (SE) Other Operating Expenses (2016 - 2026)
Sea (SE) recorded Other Operating Expenses of $24.26 million in the quarter ended Jun 30, 2026, down 24.0% from $31.9 million a year earlier and down 12.1% from the prior quarter.
Sea (SE) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Sea's Other Operating Expenses came in at $106.39 million as of Jun 30, 2026, down 33.8% year-over-year; for the year ended Dec 31, 2025, it was $121.33 million, down 32.8% from the prior year.
- Annual Other Operating Expenses has declined for four straight years, with a five-year compound annual growth rate of -8.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Operating Expenses came in at $180.44 million in the year ended Dec 31, 2024 (-18.4%), $221.02 million in the year ended Dec 31, 2023 (-20.8%), $279.18 million in the year ended Dec 31, 2022 (-3.0%) and $287.95 million in the year ended Dec 31, 2021 (+51.8%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Other Operating Expenses since the quarter ended Dec 31, 2019.
- On a year-over-year basis, Other Operating Expenses has declined for 19 consecutive quarters, with an average decline of 35.2% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 16.2% in the quarter ended Sep 30, 2021, against a decline of 99.9% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.6 million (quarter ended Mar 31, 2026), $27.51 million (quarter ended Dec 31, 2025) and $27.02 million (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.26 Mn |
| Mar 31, 2026 | 27.60 Mn |
| Dec 31, 2025 | 27.51 Mn |
| Sep 30, 2025 | 27.02 Mn |
| Jun 30, 2025 | 31.90 Mn |
| Mar 31, 2025 | 34.90 Mn |
| Dec 31, 2024 | 53.26 Mn |
| Sep 30, 2024 | 40.65 Mn |
| Jun 30, 2024 | 42.56 Mn |
| Mar 31, 2024 | 43.98 Mn |
| Dec 31, 2023 | 58.52 Mn |
| Sep 30, 2023 | 46.61 Bn |
| Jun 30, 2023 | 58.00 Bn |
| Mar 31, 2023 | 57.88 Mn |
| Dec 31, 2022 | 68.45 Mn |
| Sep 30, 2022 | 65.97 Bn |
| Jun 30, 2022 | 71.10 Bn |
| Mar 31, 2022 | 73.66 Mn |
| Dec 31, 2021 | 72.29 Mn |
| Sep 30, 2021 | 68.56 Bn |
Sea Other Operating 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=other-operating-expenses&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();