Sea (SE) Exchange Rate Effect (2016 - 2026)
Sea (SE) posted Exchange Rate Effect of -$41.8 million for the quarter ended Jun 30, 2026, compared with $106.02 million a year earlier.
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Analysis
Sea (SE) Exchange Rate Effect (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Sea was -$121.04 million; for the year ended Dec 31, 2025, it was $98.84 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 4.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Sea's Exchange Rate Effect was -$83.14 million in the year ended Dec 31, 2024, -$7.96 million in the year ended Dec 31, 2023, -$143.51 million in the year ended Dec 31, 2022 and -$58.22 million in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has run from a low of -$144.79 million in the quarter ended Dec 31, 2024 to a high of $179.29 million in the quarter ended Sep 30, 2024 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$54.24 million (quarter ended Mar 31, 2026), $24.21 million (quarter ended Dec 31, 2025) and -$49.21 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,441.41 Bn | 3,176.31 Bn | 76.16 Bn | 45.00 Mn |
| 2 | Meta Platforms | 1,546.51 Bn | 1,211.03 Bn | 51.23 Bn | 8.00 Mn |
| 3 | Netflix | 269.88 Bn | 231.18 Bn | 6.80 Bn | 19.00 Mn |
| 4 | Alibaba Group Holding | 251.04 Bn | 64.67 Bn | 15.16 Bn | -224.00 Mn |
| 5 | Shopify | 185.46 Bn | 164.27 Bn | 1.78 Bn | 1.00 Mn |
| 6 | Uber Technologies | 139.78 Bn | 111.58 Bn | 6.38 Bn | 54.00 Mn |
| 7 | Booking Holdings | 126.33 Bn | 60.08 Bn | - | -5.00 Mn |
| 8 | Spotify Technology | 126.29 Bn | 83.21 Bn | 1.89 Bn | 14.96 Mn |
| 9 | AppLovin | 119.11 Bn | 107.63 Bn | 1.94 Bn | -428,000.00 |
| 10 | Sea | 45.03 Bn | 4.92 Bn | 3.55 Bn | -41.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.80 Mn |
| Mar 31, 2026 | -54.24 Mn |
| Dec 31, 2025 | 24.21 Mn |
| Sep 30, 2025 | -49.21 Mn |
| Jun 30, 2025 | 106.02 Mn |
| Mar 31, 2025 | 17.83 Mn |
| Dec 31, 2024 | -144.79 Mn |
| Sep 30, 2024 | 179.29 Mn |
| Jun 30, 2024 | -44.82 Mn |
| Mar 31, 2024 | -72.82 Mn |
| Dec 31, 2023 | 68.32 Mn |
| Sep 30, 2023 | -54.17 Mn |
| Jun 30, 2023 | -71.62 Mn |
| Mar 31, 2023 | 49.51 Mn |
| Dec 31, 2022 | 109.11 Mn |
| Sep 30, 2022 | -124.89 Mn |
| Jun 30, 2022 | -119.68 Mn |
| Mar 31, 2022 | -8.05 Mn |
| Dec 31, 2021 | 6.51 Mn |
| Sep 30, 2021 | -32.98 Mn |
API Access
Sea Exchange Rate Effect 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=exchange-rate-effect&ticker=SE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();