Jianpu Technology (AIJTY) Total Current Liabilities (2016 - 2026)
Jianpu Technology (AIJTY) posted Total Current Liabilities of $32.3 million for the quarter ended Jun 30, 2026, down 45.1% from $58.8 million a year earlier.
Jianpu Technology (AIJTY) Total Current Liabilities (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Jianpu Technology's Total Current Liabilities came in at $40.01 million, down 38.3% from the prior year.
- Annual Total Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -16.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Jianpu Technology's Total Current Liabilities was $64.9 million in the year ended Dec 31, 2024 (-7.7%), $70.32 million in the year ended Dec 31, 2023 (-4.7%), $73.83 million in the year ended Dec 31, 2022 (-11.1%) and $83.06 million in the year ended Dec 31, 2021 (-17.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Total Current Liabilities since the quarter ended Dec 31, 2016.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was the quarter ended Sep 30, 2023, with growth of 0.2%; the weakest was the quarter ended Jun 30, 2026, with a decline of 45.1%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 134.50 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 63.01 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 12.30 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 68.93 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.60 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 14.51 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 1.50 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 7.15 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 19.37 Bn |
| 10 | Jianpu Technology | 350.12 Mn | 163.94 Mn | - | 40.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.30 Mn |
| Dec 31, 2025 | 40.00 Mn |
| Jun 30, 2025 | 58.80 Mn |
| Dec 31, 2024 | 64.91 Mn |
| Jun 30, 2024 | 63.68 Mn |
| Dec 31, 2023 | 70.25 Mn |
| Sep 30, 2023 | 71.59 Mn |
| Jun 30, 2023 | 71.28 Mn |
| Mar 31, 2023 | 75.89 Mn |
| Dec 31, 2022 | 73.13 Mn |
| Sep 30, 2022 | 71.42 Mn |
| Jun 30, 2022 | 78.97 Mn |
| Mar 31, 2022 | 80.34 Mn |
| Dec 31, 2021 | 83.07 Mn |
| Jun 30, 2021 | 104.02 Mn |
| Dec 31, 2020 | 100.13 Mn |
| Jun 30, 2020 | 94.72 Mn |
| Dec 31, 2019 | 81.43 Mn |
| Sep 30, 2019 | 77.65 Mn |
| Jun 30, 2019 | 89.61 Mn |
Jianpu Technology Total 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-current-liabilities&ticker=AIJTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();