Jianpu Technology (AIJTY) Total Non-Current Liabilities (2018 - 2026)
Jianpu Technology (AIJTY) reported Total Non-Current Liabilities of $44,000 for the quarter ended Jun 30, 2026, down 43.6% from $78,000 a year earlier.
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Analysis
Jianpu Technology (AIJTY) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Jianpu Technology posted Total Non-Current Liabilities of $42,000, down 97.3% from the prior year.
- Total Non-Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -59.5% (years ended Dec 2020 to Dec 2025).
- By year, Total Non-Current Liabilities came in at $1.53 million in the year ended Dec 31, 2024 (-27.9%), $2.13 million in the year ended Dec 31, 2023 (-12.4%), $2.43 million in the year ended Dec 31, 2022 (-14.8%) and $2.85 million in the year ended Dec 31, 2021 (-25.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $42,452 in the quarter ended Dec 31, 2025 and a high of $3 million in the quarter ended Mar 31, 2022.
- Over the past five years, the year-over-year decline in Total Non-Current Liabilities ranged from 10.6% (the quarter ended Jun 30, 2024) to 97.2% (the quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 304.25 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 172.58 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 110.97 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 313.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 41.94 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 5.02 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 706.01 Mn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 37.96 Bn |
| 10 | Jianpu Technology | 350.12 Mn | 163.94 Mn | - | 42,452.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44,000.00 |
| Dec 31, 2025 | 42,452.22 |
| Jun 30, 2025 | 78,000.00 |
| Dec 31, 2024 | 1.53 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Dec 31, 2023 | 2.12 Mn |
| Sep 30, 2023 | 2.14 Mn |
| Jun 30, 2023 | 2.21 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 2.40 Mn |
| Sep 30, 2022 | 2.51 Mn |
| Jun 30, 2022 | 2.60 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 2.85 Mn |
| Jun 30, 2021 | 3.20 Mn |
| Dec 31, 2020 | 3.84 Mn |
| Jun 30, 2020 | 2.85 Mn |
| Dec 31, 2019 | 3.00 Mn |
| Sep 30, 2019 | 2.70 Mn |
| Jun 30, 2019 | 5.77 Mn |
API Access
Jianpu Technology 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=AIJTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AIJTY", "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=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();