Jianpu Technology (AIJTY) Accumulated Expenses (2016 - 2025)
Jianpu Technology (AIJTY) reported Accumulated Expenses of $16.94 million for the quarter ended Dec 31, 2025, up 26.9% from $13.35 million a year earlier.
Jianpu Technology (AIJTY) Accumulated Expenses (2016 - 2025) Analysis & Trends
As of Dec 31, 2025, Jianpu Technology posted Accumulated Expenses of $17.18 million, up 30.8% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of -12.7% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $13.13 million in the year ended Dec 31, 2024 (+4.1%), $12.61 million in the year ended Dec 31, 2023 (-2.1%), $12.89 million in the year ended Dec 31, 2022 (-46.2%) and $23.93 million in the year ended Dec 31, 2021 (-29.3%).
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn |
| 10 | Jianpu Technology | 97.55 Mn | -88.69 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 17.17 Mn |
| Dec 31, 2024 | 13.14 Mn |
| Dec 31, 2023 | 12.60 Mn |
| Dec 31, 2022 | 12.76 Mn |
| Dec 31, 2021 | 23.94 Mn |
| Dec 31, 2020 | 33.86 Mn |
| Dec 31, 2019 | 32.07 Mn |
| Dec 31, 2018 | 21.01 Mn |
| Dec 31, 2017 | 11.15 Mn |
| Dec 31, 2016 | 4.24 Mn |
Jianpu Technology Accumulated Expenses 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=accumulated-expenses&ticker=AIJTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();