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 | 235.00 Bn | 220.07 Bn | 2.30 Bn | 1.35 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.23 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 653.61 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 115.50 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 213.93 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 512.80 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 396.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 457.14 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 327.95 Mn |
| 10 | JFrog | 12.34 Bn | 9.41 Bn | 127.62 Mn | 47.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.24 Mn |
| Mar 31, 2026 | 38.99 Mn |
| Dec 31, 2025 | 39.35 Mn |
| Sep 30, 2025 | 32.43 Mn |
| Jun 30, 2025 | 30.71 Mn |
| Mar 31, 2025 | 29.43 Mn |
| Dec 31, 2024 | 28.47 Mn |
| Sep 30, 2024 | 27.08 Mn |
| Jun 30, 2024 | 25.11 Mn |
| Mar 31, 2024 | 23.83 Mn |
| Dec 31, 2023 | 23.94 Mn |
| Sep 30, 2023 | 23.97 Mn |
| Jun 30, 2023 | 22.85 Mn |
| Mar 31, 2023 | 23.41 Mn |
| Dec 31, 2022 | 21.08 Mn |
| Sep 30, 2022 | 23.31 Mn |
| Jun 30, 2022 | 24.00 Mn |
| Mar 31, 2022 | 24.34 Mn |
| Dec 31, 2021 | 25.06 Mn |
| Sep 30, 2021 | 27.48 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();