Weibo (WB) Shares Outstanding (2012 - 2026)
Weibo's Weighted Average Shares Outstanding was 238.79 million in Q2 2026, up 0.6% from 237.32 million a year earlier and unchanged from the prior quarter.
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Analysis
Weibo (WB) Shares Outstanding (2012 - 2026) Analysis & Trends
From Q4 2012 onward, Weibo has reported Weighted Average Shares Outstanding for 55 quarters.
- Weighted Average Shares Outstanding has now increased for 14 consecutive years, with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 237.32 million in FY2024 (+0.7%), 235.56 million in FY2023 (+0.2%), 235.16 million in FY2022 (+2.8%) and 228.81 million in FY2021 (+0.8%).
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 51 straight quarters, with growth averaging 0.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.2% in Q4 2023 to 2.8% in Q3 2023.
- Per Business Quant data, WB's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 238.79 million (Q1 2026), 238.79 million (Q4 2025) and 237.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 2.55 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 4.13 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 2.32 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 333.63 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 205.41 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 750.00 Mn |
| 10 | 1.53 Bn | -8.15 Bn | 324.02 Mn | 238.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.79 Mn |
| Mar 31, 2026 | 238.79 Mn |
| Dec 31, 2025 | 238.79 Mn |
| Sep 30, 2025 | 237.32 Mn |
| Jun 30, 2025 | 237.32 Mn |
| Mar 31, 2025 | 237.32 Mn |
| Dec 31, 2024 | 237.32 Mn |
| Sep 30, 2024 | 235.56 Mn |
| Jun 30, 2024 | 235.56 Mn |
| Mar 31, 2024 | 235.56 Mn |
| Dec 31, 2023 | 235.56 Mn |
| Sep 30, 2023 | 235.16 Mn |
| Jun 30, 2023 | 235.16 Mn |
| Mar 31, 2023 | 235.16 Mn |
| Dec 31, 2022 | 235.16 Mn |
| Sep 30, 2022 | 228.81 Mn |
| Jun 30, 2022 | 228.81 Mn |
| Mar 31, 2022 | 228.81 Mn |
| Dec 31, 2021 | 228.81 Mn |
| Sep 30, 2021 | 226.92 Mn |
API Access
Weibo Shares Outstanding 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=shares-outstanding&ticker=WB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();