Weibo (WB) Research & Development (2013 - 2026)
Weibo (WB) recorded Research & Development of $75.43 million in Q2 2026, down 3.4% from $78.07 million a year earlier but up 2.6% from the prior quarter.
Weibo (WB) Research & Development (2013 - 2026) Analysis & Trends
On a TTM basis, Weibo's Research & Development came in at $319.06 million as of Jun 30, 2026, up 2.8% year-over-year; for FY2025, it came in at $324.22 million, up 5.0% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $308.75 million in FY2024 (-7.5%), $333.63 million in FY2023 (-19.6%), $415.19 million in FY2022 (-6.0%) and $441.54 million in FY2021 (+35.1%).
- Quarterly Research & Development has ranged from $67.24 million in Q4 2023 to $118.82 million in Q3 2021 over the past five years.
- On a year-over-year basis, Research & Development rose in three of the last eight quarters, with growth averaging 3.1%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 42.3% in Q3 2021, against a decline of 32.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $73.5 million (Q1 2026), $92.22 million (Q4 2025) and $77.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | 1.59 Bn | -8.04 Bn | 324.02 Mn | 75.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.43 Mn |
| Mar 31, 2026 | 73.50 Mn |
| Dec 31, 2025 | 92.22 Mn |
| Sep 30, 2025 | 77.91 Mn |
| Jun 30, 2025 | 78.07 Mn |
| Mar 31, 2025 | 76.02 Mn |
| Dec 31, 2024 | 75.92 Mn |
| Sep 30, 2024 | 80.41 Mn |
| Jun 30, 2024 | 71.69 Mn |
| Mar 31, 2024 | 80.73 Mn |
| Dec 31, 2023 | 67.24 Mn |
| Sep 30, 2023 | 82.76 Mn |
| Jun 30, 2023 | 92.95 Mn |
| Mar 31, 2023 | 90.68 Mn |
| Dec 31, 2022 | 99.33 Mn |
| Sep 30, 2022 | 97.03 Mn |
| Jun 30, 2022 | 106.40 Mn |
| Mar 31, 2022 | 112.43 Mn |
| Dec 31, 2021 | 113.87 Mn |
| Sep 30, 2021 | 118.82 Mn |
Weibo Research & Development 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=research-and-development&ticker=WB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();