Huya (HUYA) Total Non-Current Liabilities (2017 - 2026)
Huya's Total Non-Current Liabilities came in at $9.66 million for Q2 2026, up 7.3% from $9 million a year earlier and up 4.6% from the prior quarter.
Huya (HUYA) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Huya's Total Non-Current Liabilities was $7.51 million, down 30.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -27.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $10.86 million in FY2024 (-44.2%), $19.47 million in FY2023 (+31.0%), $14.86 million in FY2022 (-43.8%) and $26.47 million in FY2021 (-30.7%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 21.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2024 (growth of 22.4%), and the weakest in Q1 2023 (a decline of 47.5%).
- Business Quant data shows HUYA's Total Non-Current Liabilities at $9.23 million (Q1 2026), $7.41 million (Q4 2025) and $7.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.21 Bn |
| 10 | Huya | 1.02 Bn | -1.07 Bn | 37.58 Mn | 9.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.66 Mn |
| Mar 31, 2026 | 9.23 Mn |
| Dec 31, 2025 | 7.41 Mn |
| Sep 30, 2025 | 7.83 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 9.90 Mn |
| Dec 31, 2024 | 11.03 Mn |
| Sep 30, 2024 | 13.08 Mn |
| Jun 30, 2024 | 13.75 Mn |
| Mar 31, 2024 | 17.26 Mn |
| Dec 31, 2023 | 19.20 Mn |
| Sep 30, 2023 | 10.99 Mn |
| Jun 30, 2023 | 11.94 Mn |
| Mar 31, 2023 | 14.09 Mn |
| Dec 31, 2022 | 17.98 Mn |
| Sep 30, 2022 | 17.23 Mn |
| Jun 30, 2022 | 21.39 Mn |
| Mar 31, 2022 | 26.87 Mn |
| Dec 31, 2021 | 26.38 Mn |
| Sep 30, 2021 | 31.19 Mn |
Huya 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=HUYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HUYA", "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=HUYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();