Weibo (WB) Goodwill (2013 - 2025)
Weibo's Goodwill came in at $169.28 million for Q4 2025, up 4.4% from $162.22 million a year earlier.
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Analysis
Weibo (WB) Goodwill (2013 - 2025) Analysis & Trends
Going back to Q4 2013, Weibo's Goodwill data covers 19 quarters.
- Goodwill carries a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Goodwill was $162.22 million in FY2024 (-2.5%), $166.44 million in FY2023 (+38.5%), $120.15 million in FY2022 (-7.9%) and $130.41 million in FY2021 (+111.3%).
- The Q4 2025 figure represents the highest quarterly Goodwill in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | 1.59 Bn | -8.04 Bn | 324.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 169.28 Mn |
| Dec 31, 2024 | 162.22 Mn |
| Dec 31, 2023 | 166.44 Mn |
| Sep 30, 2023 | 113.61 Mn |
| Dec 31, 2022 | 120.15 Mn |
| Dec 31, 2021 | 130.41 Mn |
| Sep 30, 2021 | 128.58 Mn |
| Jun 30, 2021 | 113.60 Mn |
| Dec 31, 2020 | 61.71 Mn |
| Mar 31, 2020 | 28.50 Mn |
| Dec 31, 2019 | 28.99 Mn |
| Mar 31, 2019 | 30.07 Mn |
| Dec 31, 2018 | 29.35 Mn |
| Dec 31, 2017 | 13.42 Mn |
| Jun 30, 2017 | 10.66 Mn |
| Dec 31, 2016 | 10.27 Mn |
| Dec 31, 2015 | 11.12 Mn |
| Dec 31, 2014 | 11.65 Mn |
| Dec 31, 2013 | 7.52 Mn |
API Access
Weibo Goodwill 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=goodwill&ticker=WB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();