WEBTOON Entertainment (WBTN) Operating Expenses (2023 - 2026)
WEBTOON Entertainment's Operating Expenses was $65.37 million in Q2 2026, up 0.6% from $64.97 million a year earlier and up 7.9% from the prior quarter.
WEBTOON Entertainment (WBTN) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, WEBTOON Entertainment's Operating Expenses was $253.8 million through Jun 30, 2026, down 8.1% year-over-year; for FY2025, it was $259.54 million, down 21.8% from FY2024.
- Operating Expenses shows a three-year compound annual growth rate of 7.7% (FY2022 to FY2025).
- In earlier years, Operating Expenses was $331.98 million in FY2024 (+57.5%), $210.76 million in FY2023 (+1.5%) and $207.73 million in FY2022.
- Quarterly Operating Expenses has moved between $45.78 million (Q3 2023) and $138.71 million (Q2 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 5.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2024 (growth of 159.4%); the worst was Q2 2025 (a decline of 53.2%).
- Per Business Quant data, WBTN's Operating Expenses in the three quarters before Q2 2026 was $60.56 million (Q1 2026), $65.38 million (Q4 2025) and $62.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 5.48 Bn |
| 10 | WEBTOON Entertainment | 1.36 Bn | -1.26 Bn | 88.14 Mn | 65.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.37 Mn |
| Mar 31, 2026 | 60.56 Mn |
| Dec 31, 2025 | 65.38 Mn |
| Sep 30, 2025 | 62.49 Mn |
| Jun 30, 2025 | 64.97 Mn |
| Mar 31, 2025 | 66.70 Mn |
| Dec 31, 2024 | 77.84 Mn |
| Sep 30, 2024 | 66.75 Mn |
| Jun 30, 2024 | 138.71 Mn |
| Mar 31, 2024 | 48.69 Mn |
| Dec 31, 2023 | 55.15 Mn |
| Sep 30, 2023 | 45.78 Mn |
| Jun 30, 2023 | 53.47 Mn |
WEBTOON Entertainment Operating Expenses 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=operating-expenses&ticker=WBTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WBTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();