WEBTOON Entertainment (WBTN) Exchange Rate Effect (2023 - 2026)
WEBTOON Entertainment (WBTN) reported Exchange Rate Effect of -$2.19 million for Q2 2026, compared with $11.82 million a year earlier.
WEBTOON Entertainment (WBTN) Exchange Rate Effect (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, WEBTOON Entertainment's Exchange Rate Effect came in at -$15.17 million; for FY2025, it was $4.22 million.
- By year, Exchange Rate Effect came in at -$13.82 million in FY2024, -$4.29 million in FY2023 and -$20.41 million in FY2022.
- Five-year quarterly Exchange Rate Effect spans a low of -$8.26 million in Q1 2024 and a high of $11.82 million in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.05 million (Q1 2026), -$8 million (Q4 2025) and -$3.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 45.00 Mn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 8.00 Mn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 19.00 Mn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | -34.00 Mn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | -428,000.00 |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | -5.00 Mn |
| 10 | WEBTOON Entertainment | 1.36 Bn | -1.26 Bn | 88.14 Mn | -2.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.19 Mn |
| Mar 31, 2026 | -1.05 Mn |
| Dec 31, 2025 | -8.00 Mn |
| Sep 30, 2025 | -3.94 Mn |
| Jun 30, 2025 | 11.82 Mn |
| Mar 31, 2025 | 4.33 Mn |
| Dec 31, 2024 | 1.39 Mn |
| Sep 30, 2024 | -4.63 Mn |
| Jun 30, 2024 | -2.32 Mn |
| Mar 31, 2024 | -8.26 Mn |
| Dec 31, 2023 | 7.23 Mn |
| Sep 30, 2023 | -6.18 Mn |
WEBTOON Entertainment 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=WBTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WBTN", "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=WBTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();