Weibo (WB) Tax Provisions (2013 - 2026)
Weibo (WB) reported Tax Provisions of $22.96 million for Q2 2026, down 27.6% from $31.71 million a year earlier but up 46.5% from the prior quarter.
Weibo (WB) Tax Provisions (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Weibo's Tax Provisions came in at $127.16 million, up 17.5% year-over-year; for FY2025, it came in at $144.52 million, up 27.9% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Tax Provisions came in at $113.02 million in FY2024 (-23.6%), $147.95 million in FY2023 (+388.6%), $30.28 million in FY2022 (-78.2%) and $138.84 million in FY2021 (+82.3%).
- Five-year quarterly Tax Provisions spans a low of -$45.58 million in Q4 2021 and a high of $72.58 million in Q4 2023.
- Year over year, Tax Provisions gained in three of the last eight quarters, with growth averaging 2.2%.
- The high point for year-over-year Tax Provisions in five years was Q3 2025 (growth of 77.8%); the low point was Q4 2024 (a decline of 72.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.67 million (Q1 2026), $31.28 million (Q4 2025) and $57.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 26.56 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.91 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 667.17 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.89 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 273.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 840.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 610.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -898.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 203.41 Mn |
| 10 | 1.59 Bn | -8.04 Bn | 324.02 Mn | 22.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.96 Mn |
| Mar 31, 2026 | 15.67 Mn |
| Dec 31, 2025 | 31.28 Mn |
| Sep 30, 2025 | 57.24 Mn |
| Jun 30, 2025 | 31.71 Mn |
| Mar 31, 2025 | 24.29 Mn |
| Dec 31, 2024 | 20.03 Mn |
| Sep 30, 2024 | 32.20 Mn |
| Jun 30, 2024 | 33.28 Mn |
| Mar 31, 2024 | 25.04 Mn |
| Dec 31, 2023 | 72.58 Mn |
| Sep 30, 2023 | 25.41 Mn |
| Jun 30, 2023 | 25.45 Mn |
| Mar 31, 2023 | 21.85 Mn |
| Dec 31, 2022 | -18.70 Mn |
| Sep 30, 2022 | 19.76 Mn |
| Jun 30, 2022 | 17.50 Mn |
| Mar 31, 2022 | -11.72 Mn |
| Dec 31, 2021 | -45.58 Mn |
| Sep 30, 2021 | -31.41 Mn |
Weibo Tax Provisions 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=tax-provisions&ticker=WB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();