Jianpu Technology (AIJTY) Receivables (2016 - 2026)
Jianpu Technology's Receivables was $7.23 million in the quarter ended Jun 30, 2026, down 67.8% from $22.44 million a year earlier.
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Analysis
Jianpu Technology (AIJTY) Receivables (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Jianpu Technology came in at $13.87 million, down 30.4% from the prior year.
- Receivables has now declined for three consecutive years, with a five-year compound annual growth rate of -17.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $19.92 million in the year ended Dec 31, 2024 (-12.7%), $22.81 million in the year ended Dec 31, 2023 (-17.1%), $27.52 million in the year ended Dec 31, 2022 (unchanged) and $27.51 million in the year ended Dec 31, 2021 (-25.5%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Receivables in data going back to the quarter ended Dec 31, 2016.
- Compared with a year earlier, Receivables was higher in 1 of the last four quarters, with an average decline of 24.5%.
- The best year-over-year quarter for Receivables over five years was the quarter ended Mar 31, 2023 (growth of 28.2%); the worst was the quarter ended Jun 30, 2026 (a decline of 67.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 72.78 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 22.72 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 5.21 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 483.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 4.43 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 2.39 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 1.25 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 4.32 Bn |
| 10 | Jianpu Technology | 350.12 Mn | 163.94 Mn | - | 13.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.23 Mn |
| Dec 31, 2025 | 13.85 Mn |
| Jun 30, 2025 | 22.44 Mn |
| Dec 31, 2024 | 19.90 Mn |
| Jun 30, 2024 | 19.86 Mn |
| Dec 31, 2023 | 22.79 Mn |
| Sep 30, 2023 | 25.65 Mn |
| Jun 30, 2023 | 28.48 Mn |
| Mar 31, 2023 | 34.38 Mn |
| Dec 31, 2022 | 27.25 Mn |
| Sep 30, 2022 | 26.76 Mn |
| Jun 30, 2022 | 32.90 Mn |
| Mar 31, 2022 | 26.83 Mn |
| Dec 31, 2021 | 27.51 Mn |
| Jun 30, 2021 | 44.90 Mn |
| Dec 31, 2020 | 36.95 Mn |
| Jun 30, 2020 | 48.83 Mn |
| Dec 31, 2019 | 50.48 Mn |
| Sep 30, 2019 | 55.34 Mn |
| Jun 30, 2019 | 72.52 Mn |
API Access
Jianpu Technology Receivables 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=receivables&ticker=AIJTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AIJTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();