Weibo (WB) Operating Expenses (2013 - 2026)
Weibo (WB) reported Operating Expenses of $334.97 million for Q2 2026, up 11.9% from $299.23 million a year earlier and up 7.9% from the prior quarter.
Powered by 
Analysis
Weibo (WB) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Weibo's Operating Expenses came in at $1.35 billion, up 8.3% year-over-year; for FY2025, it came in at $1.29 billion, up 2.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.26 billion in FY2024 (-2.1%), $1.29 billion in FY2023 (-5.1%), $1.36 billion in FY2022 (-14.6%) and $1.59 billion in FY2021 (+34.0%).
- Five-year quarterly Operating Expenses spans a low of $286.55 million in Q1 2025 and a high of $433.77 million in Q4 2021.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 30.7%); the low point was Q4 2022 (a decline of 33.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $310.4 million (Q1 2026), $381.66 million (Q4 2025) and $324.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | 1.59 Bn | -8.04 Bn | 324.02 Mn | 334.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 334.97 Mn |
| Mar 31, 2026 | 310.40 Mn |
| Dec 31, 2025 | 381.66 Mn |
| Sep 30, 2025 | 324.96 Mn |
| Jun 30, 2025 | 299.23 Mn |
| Mar 31, 2025 | 286.55 Mn |
| Dec 31, 2024 | 338.95 Mn |
| Sep 30, 2024 | 323.16 Mn |
| Jun 30, 2024 | 302.49 Mn |
| Mar 31, 2024 | 295.76 Mn |
| Dec 31, 2023 | 344.66 Mn |
| Sep 30, 2023 | 308.17 Mn |
| Jun 30, 2023 | 316.79 Mn |
| Mar 31, 2023 | 317.29 Mn |
| Dec 31, 2022 | 287.53 Mn |
| Sep 30, 2022 | 330.35 Mn |
| Jun 30, 2022 | 356.21 Mn |
| Mar 31, 2022 | 381.77 Mn |
| Dec 31, 2021 | 433.77 Mn |
| Sep 30, 2021 | 394.39 Mn |
API Access
Weibo Operating 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=operating-expenses&ticker=WB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();