Weibo (WB) Total Non-Current Liabilities (2013 - 2026)
Weibo (WB) posted Total Non-Current Liabilities of $2.93 billion for Q2 2026, up 5.2% from $2.79 billion a year earlier but down 5.8% from the prior quarter.
Weibo (WB) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Weibo's Total Non-Current Liabilities came in at $2.03 billion, up 3.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Weibo's Total Non-Current Liabilities was $1.96 billion in FY2024 (-0.4%), $1.97 billion in FY2023 (-22.0%), $2.52 billion in FY2022 (+50.6%) and $1.67 billion in FY2021 (-32.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $5.88 million in Q3 2024 to a high of $3.91 billion in Q1 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with an average decline of 19.2% over the last seven quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 50.6%; the weakest was Q3 2024, with a decline of 99.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.11 billion (Q1 2026), $2.03 billion (Q4 2025) and $2.84 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 4.77 Bn |
| 10 | 1.58 Bn | -8.05 Bn | 324.02 Mn | 2.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.93 Bn |
| Mar 31, 2026 | 3.11 Bn |
| Dec 31, 2025 | 2.03 Bn |
| Sep 30, 2025 | 2.84 Bn |
| Jun 30, 2025 | 2.79 Bn |
| Mar 31, 2025 | 3.08 Bn |
| Dec 31, 2024 | 1.96 Bn |
| Sep 30, 2024 | 5.88 Mn |
| Jun 30, 2024 | 3.61 Bn |
| Mar 31, 2024 | 3.91 Bn |
| Dec 31, 2023 | 1.97 Bn |
| Sep 30, 2023 | 1.72 Bn |
| Jun 30, 2023 | 3.65 Bn |
| Mar 31, 2023 | 3.50 Bn |
| Dec 31, 2022 | 2.52 Bn |
| Sep 30, 2022 | 3.47 Bn |
| Jun 30, 2022 | 3.61 Bn |
| Mar 31, 2022 | 3.75 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 2.51 Bn |
Weibo Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();