Aurora Mobile (JG) Enterprise Value (2018 - 2026)
Aurora Mobile (JG) recorded Enterprise Value of $3.68 billion in Q2 2026, down 56.5% from $8.48 billion a year earlier and down 33.0% from the prior quarter.
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Analysis
Aurora Mobile (JG) Enterprise Value (2018 - 2026) Analysis & Trends
On a TTM basis, Aurora Mobile's Enterprise Value came in at $3.63 billion as of Jun 30, 2026, down 57.0% year-over-year; for FY2025, it was $4.91 billion, down 11.8% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -38.5% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $5.56 billion in FY2024 (+148.9%), $2.23 billion in FY2023 (-78.1%), $10.19 billion in FY2022 (-38.0%) and $16.43 billion in FY2021 (-70.6%).
- The Q2 2026 figure is the lowest quarterly Enterprise Value since Q2 2024.
- On a year-over-year basis, Enterprise Value has declined for three consecutive quarters, with growth averaging 86.1% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 274.8% in Q2 2025, against a decline of 85.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.5 billion (Q1 2026), $4.91 billion (Q4 2025) and $6.49 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn |
| 10 | Aurora Mobile | 38.54 Mn | -49.80 Mn | 10.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.66 Mn |
| Mar 31, 2026 | 26.88 Mn |
| Dec 31, 2025 | 17.56 Mn |
| Sep 30, 2025 | 34.41 Mn |
| Jun 30, 2025 | 52.58 Mn |
| Mar 31, 2025 | 52.51 Mn |
| Dec 31, 2024 | 30.43 Mn |
| Sep 30, 2024 | 30.90 Mn |
| Jun 30, 2024 | 8.42 Mn |
| Mar 31, 2024 | 11.27 Mn |
| Dec 31, 2023 | 4.98 Mn |
| Sep 30, 2023 | 7.42 Mn |
| Jun 30, 2023 | 26.49 Mn |
| Mar 31, 2023 | 62.16 Mn |
| Dec 31, 2022 | 64.25 Mn |
| Sep 30, 2022 | 106.63 Mn |
| Jun 30, 2022 | 127.40 Mn |
| Mar 31, 2022 | 118.17 Mn |
| Dec 31, 2021 | 118.59 Mn |
| Sep 30, 2021 | 178.14 Mn |
API Access
Aurora Mobile 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=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();