The9 (NCTY) Total Liabilities (2009 - 2026)
The9 (NCTY) posted Total Liabilities of $60.55 million for Q2 2026, down 39.6% from $100.26 million a year earlier but up 6.9% from the prior quarter.
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Analysis
The9 (NCTY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, The9's Total Liabilities came in at $58.99 million, up 36.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- In prior years, The9's Total Liabilities was $43.39 million in FY2024 (+68.9%), $25.69 million in FY2023 (-69.0%), $82.87 million in FY2022 (-2.3%) and $84.78 million in FY2021 (-18.3%).
- Quarterly Total Liabilities has run from a low of $25.33 million in Q4 2023 to a high of $119.54 million in Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last four quarters, with growth averaging 19.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 80.6%; the weakest was Q4 2023, with a decline of 68.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | 6.13 Bn |
| 10 | The9 | 25.24 Mn | 7.04 Mn | 319,000.00 | 60.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.68 Mn |
| Mar 31, 2026 | 56.74 Mn |
| Dec 31, 2025 | 57.58 Mn |
| Jun 30, 2025 | 44.36 Mn |
| Dec 31, 2024 | 40.83 Mn |
| Jun 30, 2024 | 45.96 Mn |
| Dec 31, 2023 | 25.66 Mn |
| Jun 30, 2023 | 74.16 Mn |
| Dec 31, 2022 | 82.09 Mn |
| Jun 30, 2022 | 70.28 Mn |
| Dec 31, 2021 | 85.82 Mn |
| Jun 30, 2021 | 67.96 Mn |
| Dec 31, 2020 | 109.76 Mn |
| Jun 30, 2020 | 123.90 Mn |
| Dec 31, 2019 | 202.32 Mn |
| Jun 30, 2019 | 193.75 Mn |
| Dec 31, 2018 | 181.69 Mn |
| Jun 30, 2018 | 176.88 Mn |
| Dec 31, 2017 | 172.31 Mn |
| Jun 30, 2017 | 164.53 Mn |
API Access
The9 Total 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-liabilities&ticker=NCTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NCTY", "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-liabilities&ticker=NCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();