WEBTOON Entertainment (WBTN) Accumulated Expenses (2023 - 2026)
WEBTOON Entertainment (WBTN) posted Accumulated Expenses of $60.94 million for Q2 2026, down 8.7% from $66.71 million a year earlier but up 13.2% from the prior quarter.
WEBTOON Entertainment (WBTN) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, WEBTOON Entertainment's Accumulated Expenses came in at $66.69 million, up 7.2% from FY2024.
- In prior years, WEBTOON Entertainment's Accumulated Expenses was $62.21 million in FY2024 (-0.9%) and $62.78 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $53.84 million in Q1 2026 to a high of $95.97 million in Q3 2024 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last six quarters, with an average decline of 10.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $53.84 million (Q1 2026), $66.69 million (Q4 2025) and $71.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | WEBTOON Entertainment | 1.47 Bn | -1.11 Bn | 88.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.94 Mn |
| Mar 31, 2026 | 53.84 Mn |
| Dec 31, 2025 | 66.69 Mn |
| Sep 30, 2025 | 71.52 Mn |
| Jun 30, 2025 | 66.71 Mn |
| Mar 31, 2025 | 58.94 Mn |
| Dec 31, 2024 | 62.21 Mn |
| Sep 30, 2024 | 95.97 Mn |
| Jun 30, 2024 | 87.57 Mn |
| Dec 31, 2023 | 62.78 Mn |
WEBTOON Entertainment Accumulated 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=accumulated-expenses&ticker=WBTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WBTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();