Sea (SE) Operating Leases (2016 - 2026)
Sea (SE) posted Operating Leases of $445.55 million for the quarter ended Jun 30, 2026, up 35.8% from $328.09 million a year earlier and up 15.0% from the prior quarter.
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Analysis
Sea (SE) Operating Leases (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Sea's Operating Leases came in at $368.12 million, down 67.1% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of -5.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Sea's Operating Leases was $1.12 billion in the year ended Dec 31, 2024 (+39.2%), $803.5 million in the year ended Dec 31, 2023 (+1.8%), $789.51 million in the year ended Dec 31, 2022 (+4.3%) and $756.82 million in the year ended Dec 31, 2021 (+54.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Operating Leases since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Operating Leases increased in seven of the last eight quarters, with growth averaging 9.3%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Mar 31, 2022, with growth of 180.3%; the weakest was the quarter ended Dec 31, 2025, with a decline of 67.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $387.29 million (quarter ended Mar 31, 2026), $368.12 million (quarter ended Dec 31, 2025) and $340.78 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 | 445.55 Mn |
| Mar 31, 2026 | 387.29 Mn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 30, 2025 | 340.78 Mn |
| Jun 30, 2025 | 328.09 Mn |
| Mar 31, 2025 | 311.71 Mn |
| Dec 31, 2024 | 803.50 Mn |
| Sep 30, 2024 | 315.51 Mn |
| Jun 30, 2024 | 296.57 Mn |
| Mar 31, 2024 | 272.80 Mn |
| Dec 31, 2023 | 789.51 Mn |
| Sep 30, 2023 | 288.63 Mn |
| Jun 30, 2023 | 280.83 Mn |
| Mar 31, 2023 | 272.29 Mn |
| Dec 31, 2022 | 756.82 Mn |
| Sep 30, 2022 | 269.86 Mn |
| Jun 30, 2022 | 241.64 Mn |
| Mar 31, 2022 | 228.86 Mn |
| Dec 31, 2021 | 491.31 Mn |
| Sep 30, 2021 | 164.41 Mn |
API Access
Sea Operating Leases 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=operating-leases&ticker=SE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();