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 | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | -31.00 Mn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | -7.00 Mn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | -19.63 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -224.00 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | -4.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 54.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | -111.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 182.40 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | -1.55 Mn |
| 10 | WEBTOON Entertainment | 1.49 Bn | -1.10 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();