Jianpu Technology (AIJTY) Enterprise Value (2017 - 2026)
Jianpu Technology's Enterprise Value was $556.86 million in the quarter ended Jun 30, 2026, down 69.4% from $1.82 billion a year earlier.
Powered by 
Analysis
Jianpu Technology (AIJTY) Enterprise Value (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jianpu Technology's Enterprise Value was $370.82 million through Jun 30, 2026, down 76.2% year-over-year; for the year ended Dec 31, 2025, it was $701.18 million, up 442.4% from the prior year.
- Enterprise Value shows a five-year compound annual growth rate of -22.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Enterprise Value was $129.27 million in the year ended Dec 31, 2024 (-82.7%), $746.22 million in the year ended Dec 31, 2023 (-40.7%), $1.26 billion in the year ended Dec 31, 2022 (+56.2%) and $805.65 million in the year ended Dec 31, 2021 (-67.6%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Enterprise Value since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Enterprise Value was higher in two of the last four quarters, with growth averaging 155.7%.
- The best year-over-year quarter for Enterprise Value over five years was the quarter ended Dec 31, 2025 (growth of 432.1%); the worst was the quarter ended Dec 31, 2024 (a decline of 82.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 556.86 Mn |
| Dec 31, 2025 | 701.20 Mn |
| Jun 30, 2025 | 1.82 Bn |
| Dec 31, 2024 | 131.77 Mn |
| Jun 30, 2024 | 411.20 Mn |
| Dec 31, 2023 | 744.98 Mn |
| Sep 30, 2023 | 764.57 Mn |
| Jun 30, 2023 | 847.58 Mn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 845.61 Mn |
| Dec 31, 2021 | 800.33 Mn |
| Sep 30, 2021 | 1.25 Bn |
| Jun 30, 2021 | 2.17 Bn |
| Mar 31, 2021 | 2.20 Bn |
| Dec 31, 2020 | 2.49 Bn |
| Jun 30, 2020 | 2.05 Bn |
| Dec 31, 2019 | 4.90 Bn |
API Access
Jianpu Technology Enterprise Value 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=enterprise-value&ticker=AIJTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();