JFrog (FROG) Other Non-Current Assets (2019 - 2026)
JFrog's Other Non-Current Assets was $40.88 million in Q2 2026, up 54.5% from $26.46 million a year earlier and up 19.2% from the prior quarter.
JFrog (FROG) Other Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at JFrog came in at $34.3 million, up 37.1% from FY2024.
- Other Non-Current Assets has now increased for three consecutive years, with a five-year compound annual growth rate of 44.8% (FY2020 to FY2025).
- In earlier years, Other Non-Current Assets was $25.03 million in FY2024 (+38.8%), $18.03 million in FY2023 (+33.6%), $13.5 million in FY2022 (-15.3%) and $15.94 million in FY2021 (+195.7%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Assets in data going back to Q3 2019.
- Compared with a year earlier, Other Non-Current Assets has increased for 13 straight quarters, with growth averaging 39.9% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Assets over five years was Q3 2021 (growth of 383.8%); the worst was Q3 2022 (a decline of 37.4%).
- Per Business Quant data, FROG's Other Non-Current Assets in the three quarters before Q2 2026 was $34.29 million (Q1 2026), $34.3 million (Q4 2025) and $28.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 678.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 805.54 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 113.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 431.03 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 145.03 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 457.14 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 331.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 402.42 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 25.00 Mn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | 40.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.88 Mn |
| Mar 31, 2026 | 34.29 Mn |
| Dec 31, 2025 | 34.30 Mn |
| Sep 30, 2025 | 28.56 Mn |
| Jun 30, 2025 | 26.46 Mn |
| Mar 31, 2025 | 25.15 Mn |
| Dec 31, 2024 | 25.03 Mn |
| Sep 30, 2024 | 22.63 Mn |
| Jun 30, 2024 | 18.32 Mn |
| Mar 31, 2024 | 17.73 Mn |
| Dec 31, 2023 | 18.03 Mn |
| Sep 30, 2023 | 16.16 Mn |
| Jun 30, 2023 | 14.13 Mn |
| Mar 31, 2023 | 13.83 Mn |
| Dec 31, 2022 | 13.50 Mn |
| Sep 30, 2022 | 12.47 Mn |
| Jun 30, 2022 | 12.65 Mn |
| Mar 31, 2022 | 13.84 Mn |
| Dec 31, 2021 | 15.94 Mn |
| Sep 30, 2021 | 19.93 Mn |
JFrog Other Non-Current Assets 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=other-non-current-assets&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "ticker": "FROG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-assets&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();