Aurora Mobile (JG) Debt Ratio (2018 - 2026)
Aurora Mobile's (JG) Debt Ratio was 0.01 for Q2 2026.
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Analysis
Aurora Mobile (JG) Debt Ratio (2018 - 2026) Analysis & Trends
Dating back to Q2 2018, Aurora Mobile's Debt Ratio record includes 24 quarters.
- By year, Debt Ratio came in at 0.06 in FY2023 (+426.8%), 0.01 in FY2022 (-95.4%), 0.25 in FY2021 (-13.0%) and 0.29 in FY2020 (+16.9%).
- The Q2 2026 figure ranks as the highest quarterly Debt Ratio since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.06 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.05 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.23 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 0.15 |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | 0.01 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.01 |
| Dec 31, 2024 | 0.01 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.01 |
| Mar 31, 2024 | 0.01 |
| Sep 30, 2023 | 0.01 |
| Jun 30, 2023 | 0.01 |
| Mar 31, 2023 | 0.01 |
| Dec 31, 2022 | 0.01 |
| Mar 31, 2022 | 0.26 |
| Dec 31, 2021 | 0.25 |
| Sep 30, 2021 | 0.24 |
| Jun 30, 2021 | 0.23 |
| Mar 31, 2021 | 0.32 |
| Dec 31, 2020 | 0.29 |
| Jun 30, 2020 | 0.27 |
| Mar 31, 2020 | 0.27 |
| Dec 31, 2019 | 0.24 |
| Sep 30, 2019 | 0.24 |
| Jun 30, 2019 | 0.23 |
API Access
Aurora Mobile Debt Ratio 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=debt-ratio&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "JG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();