Weibo (WB) Other Accumulated Expenses (2015 - 2025)
Weibo's Other Accumulated Expenses was $63.75 million in Q4 2025, up 19.8% from $53.19 million a year earlier.
Analysis
Weibo (WB) Other Accumulated Expenses (2015 - 2025) Analysis & Trends
From Q4 2015 onward, Weibo has reported Other Accumulated Expenses for 17 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $53.19 million in FY2024 (+46.8%), $36.23 million in FY2023 (-6.9%), $38.91 million in FY2022 (-20.9%) and $49.18 million in FY2021 (+156.1%).
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses since Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | 1.55 Bn | -8.07 Bn | 324.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 63.75 Mn |
| Dec 31, 2024 | 53.19 Mn |
| Dec 31, 2023 | 36.23 Mn |
| Sep 30, 2023 | 29.85 Mn |
| Dec 31, 2022 | 38.91 Mn |
| Dec 31, 2021 | 49.18 Mn |
| Sep 30, 2021 | 77.34 Mn |
| Jun 30, 2021 | 79.17 Mn |
| Dec 31, 2020 | 19.20 Mn |
| Mar 31, 2020 | 50.20 Mn |
| Dec 31, 2019 | 77.05 Mn |
| Mar 31, 2019 | 56.29 Mn |
| Dec 31, 2018 | 50.00 Mn |
| Dec 31, 2017 | 53.38 Mn |
| Jun 30, 2017 | 43.66 Mn |
| Dec 31, 2016 | 40.97 Mn |
| Dec 31, 2015 | 12.19 Mn |
API Access
Weibo Other 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=other-accumulated-expenses&ticker=WB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "WB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();