Jianpu Technology (AIJTY) Property, Plant & Equipment (Net) (2016 - 2026)
Jianpu Technology (AIJTY) reported Property, Plant & Equipment (Net) of $108,000 for the quarter ended Jun 30, 2026, down 91.4% from $1.25 million a year earlier.
Jianpu Technology (AIJTY) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Jianpu Technology posted Property, Plant & Equipment (Net) of $100,000, down 92.3% from the prior year.
- Property, Plant & Equipment (Net) has declined for seven consecutive years, with a five-year compound annual growth rate of -48.6% (years ended Dec 2020 to Dec 2025).
- By year, Property, Plant & Equipment (Net) came in at $1.29 million in the year ended Dec 31, 2024 (-21.9%), $1.66 million in the year ended Dec 31, 2023 (-9.3%), $1.82 million in the year ended Dec 31, 2022 (-7.9%) and $1.98 million in the year ended Dec 31, 2021 (-28.7%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $100,199 in the quarter ended Dec 31, 2025 and a high of $1.98 million in the quarter ended Dec 31, 2021.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was the quarter ended Mar 31, 2023 (growth of 0.6%); the low point was the quarter ended Dec 31, 2025 (a decline of 92.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 372.83 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 253.22 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 2.56 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 46.06 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 50.00 Mn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 1.82 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 113.34 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 215.48 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 748.00 Mn |
| 10 | Jianpu Technology | 350.12 Mn | 117.54 Mn | - | 108,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108,000.00 |
| Dec 31, 2025 | 100,198.68 |
| Jun 30, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.69 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 1.94 Mn |
| Dec 31, 2022 | 1.81 Mn |
| Sep 30, 2022 | 1.71 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 1.98 Mn |
| Jun 30, 2021 | 2.24 Mn |
| Dec 31, 2020 | 2.78 Mn |
| Jun 30, 2020 | 3.20 Mn |
| Dec 31, 2019 | 5.25 Mn |
| Sep 30, 2019 | 6.12 Mn |
| Jun 30, 2019 | 6.74 Mn |
Jianpu Technology Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AIJTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();