Jianpu Technology (AIJTY) Cash & Equivalents (2017 - 2026)
Jianpu Technology's Cash & Equivalents came in at $46.61 million for the quarter ended Jun 30, 2026, down 7.7% from $50.49 million a year earlier.
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Analysis
Jianpu Technology (AIJTY) Cash & Equivalents (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, Jianpu Technology's Cash & Equivalents was $30.64 million, down 48.8% from the prior year.
- Cash & Equivalents carries a five-year compound annual growth rate of -18.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Cash & Equivalents was $59.86 million in the year ended Dec 31, 2024 (+26.8%), $47.21 million in the year ended Dec 31, 2023 (-3.3%), $48.81 million in the year ended Dec 31, 2022 (-24.3%) and $64.51 million in the year ended Dec 31, 2021 (-25.3%).
- The five-year range for quarterly Cash & Equivalents is $30.63 million (the quarter ended Dec 31, 2025) to $69.83 million (the quarter ended Dec 31, 2021).
- Year-over-year, Cash & Equivalents increased in two of the last four quarters, with an average decline of 4.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in the quarter ended Dec 31, 2024 (growth of 18.3%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 46.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 56.33 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 11.22 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 21.06 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.87 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.56 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 3.17 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 6.84 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 15.81 Bn |
| 10 | Jianpu Technology | 350.12 Mn | 117.54 Mn | - | 46.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.61 Mn |
| Dec 31, 2025 | 30.63 Mn |
| Jun 30, 2025 | 50.49 Mn |
| Dec 31, 2024 | 57.36 Mn |
| Jun 30, 2024 | 43.06 Mn |
| Dec 31, 2023 | 48.48 Mn |
| Sep 30, 2023 | 37.24 Mn |
| Jun 30, 2023 | 43.66 Mn |
| Mar 31, 2023 | 40.68 Mn |
| Dec 31, 2022 | 49.77 Mn |
| Sep 30, 2022 | 50.17 Mn |
| Jun 30, 2022 | 56.33 Mn |
| Mar 31, 2022 | 58.26 Mn |
| Dec 31, 2021 | 69.83 Mn |
| Jun 30, 2021 | 84.46 Mn |
| Dec 31, 2020 | 84.32 Mn |
| Jun 30, 2020 | 94.57 Mn |
| Dec 31, 2019 | 99.48 Mn |
| Sep 30, 2019 | 112.86 Mn |
| Jun 30, 2019 | 133.45 Mn |
API Access
Jianpu Technology Cash & Equivalents 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=cash-and-equivalents&ticker=AIJTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();