Aurora Mobile (JG) Total Liabilities (2017 - 2026)
Aurora Mobile (JG) posted Total Liabilities of $46.47 million for Q2 2026, up 17.4% from $39.57 million a year earlier and up 11.4% from the prior quarter.
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Analysis
Aurora Mobile (JG) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile's Total Liabilities came in at $45.29 million, up 18.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- In prior years, Aurora Mobile's Total Liabilities was $38.17 million in FY2024 (+10.0%), $34.71 million in FY2023 (-21.6%), $44.28 million in FY2022 (-25.8%) and $59.65 million in FY2021 (-16.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q1 2022.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 13.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 23.2%; the weakest was Q1 2023, with a decline of 40.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $41.71 million (Q1 2026), $44.66 million (Q4 2025) and $40.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 263.41 Bn | 248.48 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 246.85 Bn | 227.25 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 128.15 Bn | 114.08 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 113.32 Bn | 100.64 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 98.60 Bn | 80.24 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 36.93 Bn | 23.05 Bn | - | 5.27 Bn |
| 7 | Okta | 36.49 Bn | 26.58 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 31.91 Bn | 26.43 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 31.34 Bn | 21.81 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Aurora Mobile | 38.92 Mn | -49.42 Mn | 10.20 Mn | 46.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.58 Mn |
| Mar 31, 2026 | 41.71 Mn |
| Dec 31, 2025 | 45.27 Mn |
| Sep 30, 2025 | 40.62 Mn |
| Jun 30, 2025 | 39.57 Mn |
| Mar 31, 2025 | 38.19 Mn |
| Dec 31, 2024 | 38.18 Mn |
| Sep 30, 2024 | 36.82 Mn |
| Jun 30, 2024 | 32.12 Mn |
| Mar 31, 2024 | 32.14 Mn |
| Dec 31, 2023 | 34.68 Mn |
| Sep 30, 2023 | 36.85 Mn |
| Jun 30, 2023 | 38.00 Mn |
| Mar 31, 2023 | 41.23 Mn |
| Dec 31, 2022 | 43.86 Mn |
| Sep 30, 2022 | 39.90 Mn |
| Jun 30, 2022 | 41.01 Mn |
| Mar 31, 2022 | 68.98 Mn |
| Dec 31, 2021 | 59.65 Mn |
| Sep 30, 2021 | 59.08 Mn |
API Access
Aurora Mobile Total Liabilities 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=total-liabilities&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();