Sea (SE) Cash & Equivalents (2016 - 2026)
Sea's Cash & Equivalents came in at $3.53 billion for the quarter ended Jun 30, 2026, down 17.4% from $4.27 billion a year earlier and down 12.5% from the prior quarter.
Sea (SE) Cash & Equivalents (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Sea's Cash & Equivalents was $4.16 billion, up 72.9% from the prior year.
- Cash & Equivalents carries a five-year compound annual growth rate of -10.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Cash & Equivalents was $2.41 billion in the year ended Dec 31, 2024 (-68.4%), $7.61 billion in the year ended Dec 31, 2023 (-29.8%), $10.84 billion in the year ended Dec 31, 2022 (unchanged) and $10.84 billion in the year ended Dec 31, 2021 (+53.7%).
- The five-year range for quarterly Cash & Equivalents is $2.41 billion (the quarter ended Dec 31, 2024) to $12.53 billion (the quarter ended Sep 30, 2021).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with an average decline of 5.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in the quarter ended Sep 30, 2021 (growth of 196.3%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 68.4%).
- Business Quant data shows SE's Cash & Equivalents at $4.04 billion (quarter ended Mar 31, 2026), $4.16 billion (quarter ended Dec 31, 2025) and $3.07 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 56.33 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 11.22 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 21.06 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.87 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 9.56 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 3.17 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 6.84 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 15.81 Bn |
| 10 | Sea | 44.87 Bn | 4.76 Bn | 3.55 Bn | 3.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.53 Bn |
| Mar 31, 2026 | 4.04 Bn |
| Dec 31, 2025 | 4.16 Bn |
| Sep 30, 2025 | 3.07 Bn |
| Jun 30, 2025 | 2.17 Bn |
| Mar 31, 2025 | 2.18 Bn |
| Dec 31, 2024 | 2.41 Bn |
| Sep 30, 2024 | 2.54 Bn |
| Jun 30, 2024 | 2.65 Bn |
| Mar 31, 2024 | 2.46 Bn |
| Dec 31, 2023 | 2.81 Bn |
| Sep 30, 2023 | 3.22 Bn |
| Jun 30, 2023 | 3.52 Bn |
| Mar 31, 2023 | 6.08 Bn |
| Dec 31, 2022 | 6.03 Bn |
| Sep 30, 2022 | 6.25 Bn |
| Jun 30, 2022 | 6.49 Bn |
| Mar 31, 2022 | 7.68 Bn |
| Dec 31, 2021 | 9.25 Bn |
| Sep 30, 2021 | 11.13 Bn |
Sea Cash & Equivalents 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=cash-and-equivalents&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();