Sea (SE) Times Interest Earned (2016 - 2026)
Sea's (SE) Times Interest Earned stood at 491.93 in the quarter ended Jun 30, 2026, up 805.1% from 54.35 a year earlier and up 36.0% from the prior quarter.
Sea (SE) Times Interest Earned (2016 - 2026) Analysis & Trends
On a TTM basis, Sea's Times Interest Earned came in at 123.38 as of Jun 30, 2026, up 214.2% year-over-year; for the year ended Dec 31, 2025, it was 59.07, up 242.0% from the prior year.
- Across earlier years, Times Interest Earned came in at 17.27 in the year ended Dec 31, 2024 (+215.6%), 5.47 in the year ended Dec 31, 2023, -32.77 in the year ended Dec 31, 2022 and -11.57 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Times Interest Earned in data going back to the quarter ended Sep 30, 2016.
- On a year-over-year basis, Times Interest Earned has increased for six consecutive quarters, with growth averaging 476.7% over the last six quarters.
- Peak year-over-year performance for Times Interest Earned in the last five years was growth of 805.1% in the quarter ended Jun 30, 2026, against a decline of 68.7% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 361.80 (quarter ended Mar 31, 2026), 84.88 (quarter ended Dec 31, 2025) and 53.50 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | 23.86 |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn | 6.45 |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn | 14.88 |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - | 8.33 |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn | 31.19 |
| 10 | Sea | 58.10 Bn | 17.99 Bn | 3.55 Bn | 491.93 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 491.93 |
| Mar 31, 2026 | 361.80 |
| Dec 31, 2025 | 84.88 |
| Sep 30, 2025 | 53.50 |
| Jun 30, 2025 | 54.35 |
| Mar 31, 2025 | 50.26 |
| Dec 31, 2024 | 32.94 |
| Sep 30, 2024 | 20.97 |
| Jun 30, 2024 | 8.56 |
| Mar 31, 2024 | 7.32 |
| Dec 31, 2023 | -5.58 |
| Sep 30, 2023 | -12,556.77 |
| Jun 30, 2023 | 27.33 |
| Mar 31, 2023 | 12.05 |
| Dec 31, 2022 | 31.72 |
| Sep 30, 2022 | -42,883.20 |
| Jun 30, 2022 | -73,317.21 |
| Mar 31, 2022 | -42.87 |
| Dec 31, 2021 | -9.30 |
| Sep 30, 2021 | -3,365.33 |
Sea Times Interest Earned 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=times-interest-earned&ticker=SE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();