Jianpu Technology (AIJTY) Research & Development (2016 - 2023)
Jianpu Technology's Research & Development came in at $10.37 million for the year ended Dec 31, 2025, down 2.9% from $10.68 million a year earlier.
Jianpu Technology (AIJTY) Research & Development (2016 - 2023) Analysis & Trends
Going back to the year ended Dec 31, 2015, Jianpu Technology's Research & Development data covers 10 years.
- Research & Development has declined in each of the last six years, with a five-year compound annual growth rate of -15.2% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the lowest annual Research & Development since the year ended Dec 31, 2015.
- Per Business Quant, earlier years put Research & Development at $10.68 million in the year ended Dec 31, 2024 (-20.0%), $13.34 million in the year ended Dec 31, 2023 (-19.3%), $16.52 million in the year ended Dec 31, 2022 (-20.5%) and $20.78 million in the year ended Dec 31, 2021 (-12.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 20.64 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 20.05 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 1.03 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 497.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 1.27 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 101.82 Mn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | - |
| 10 | Jianpu Technology | 350.12 Mn | 163.94 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 2.65 Mn |
| Sep 30, 2023 | 3.60 Mn |
| Jun 30, 2023 | 3.36 Mn |
| Mar 31, 2023 | 3.69 Mn |
| Dec 31, 2022 | 3.81 Mn |
| Sep 30, 2022 | 4.02 Mn |
| Jun 30, 2022 | 4.38 Mn |
| Mar 31, 2022 | 4.70 Mn |
| Dec 31, 2021 | 4.72 Mn |
| Sep 30, 2021 | 4.98 Mn |
| Jun 30, 2021 | 5.13 Mn |
| Mar 31, 2021 | 5.70 Mn |
| Dec 31, 2019 | 7.22 Mn |
| Sep 30, 2019 | 9.30 Mn |
| Jun 30, 2019 | 10.68 Mn |
| Mar 31, 2019 | 12.27 Mn |
| Dec 31, 2018 | 11.88 Mn |
| Sep 30, 2018 | 9.25 Mn |
| Jun 30, 2018 | 7.93 Mn |
| Mar 31, 2018 | 6.95 Mn |
Jianpu Technology Research & Development 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=research-and-development&ticker=AIJTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();