Jianpu Technology (AIJTY) Total Liabilities (2016 - 2026)
Jianpu Technology (AIJTY) recorded Total Liabilities of $32.41 million in the quarter ended Jun 30, 2026, down 45.0% from $58.92 million a year earlier.
Jianpu Technology (AIJTY) Total Liabilities (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Jianpu Technology reported Total Liabilities of $40.06 million, down 39.7% from the prior year.
- Annual Total Liabilities has declined for five straight years, with a five-year compound annual growth rate of -17.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Liabilities came in at $66.43 million in the year ended Dec 31, 2024 (-8.3%), $72.45 million in the year ended Dec 31, 2023 (-5.0%), $76.25 million in the year ended Dec 31, 2022 (-11.5%) and $86.18 million in the year ended Dec 31, 2021 (-17.3%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Liabilities since the quarter ended Dec 31, 2016.
- Across the past five years, year-over-year decline in Total Liabilities ran from 3.2% in the quarter ended Sep 30, 2023 to 45.0% in the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 325.76 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 206.45 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 114.47 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.92 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 42.49 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 5.28 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 7.85 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 38.67 Bn |
| 10 | Jianpu Technology | 350.12 Mn | 163.94 Mn | - | 40.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.41 Mn |
| Dec 31, 2025 | 40.04 Mn |
| Jun 30, 2025 | 58.92 Mn |
| Dec 31, 2024 | 66.44 Mn |
| Jun 30, 2024 | 65.71 Mn |
| Dec 31, 2023 | 72.38 Mn |
| Sep 30, 2023 | 73.81 Mn |
| Jun 30, 2023 | 73.53 Mn |
| Mar 31, 2023 | 79.08 Mn |
| Dec 31, 2022 | 75.53 Mn |
| Sep 30, 2022 | 76.27 Mn |
| Jun 30, 2022 | 85.19 Mn |
| Mar 31, 2022 | 86.45 Mn |
| Dec 31, 2021 | 86.18 Mn |
| Jun 30, 2021 | 110.86 Mn |
| Dec 31, 2020 | 104.19 Mn |
| Jun 30, 2020 | 98.26 Mn |
| Dec 31, 2019 | 85.22 Mn |
| Sep 30, 2019 | 84.50 Mn |
| Jun 30, 2019 | 107.75 Mn |
Jianpu Technology 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=AIJTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();