JFrog (FROG) Non-Current Deffered Revenue (2019 - 2026)
JFrog (FROG) recorded Non-Current Deffered Revenue of $34.23 million in Q2 2026, up 56.8% from $21.83 million a year earlier and up 12.8% from the prior quarter.
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Analysis
JFrog (FROG) Non-Current Deffered Revenue (2019 - 2026) Analysis & Trends
At the end of FY2025, JFrog reported Non-Current Deffered Revenue of $32.4 million, up 19.7% from FY2024.
- Annual Non-Current Deffered Revenue has a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- Across earlier years, Non-Current Deffered Revenue came in at $27.06 million in FY2024 (+108.4%), $12.99 million in FY2023 (-23.6%), $16.99 million in FY2022 (-5.4%) and $17.96 million in FY2021 (+62.0%).
- The Q2 2026 figure is the highest quarterly Non-Current Deffered Revenue in data going back to Q4 2019.
- On a year-over-year basis, Non-Current Deffered Revenue has increased for nine consecutive quarters, with growth averaging 54.7% over the last eight quarters.
- Peak year-over-year performance for Non-Current Deffered Revenue in the last five years was growth of 108.4% in Q4 2024, against a decline of 26.7% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $30.34 million (Q1 2026), $32.4 million (Q4 2025) and $27.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 30.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 385.66 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 445.27 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | JFrog | 11.94 Bn | 9.02 Bn | 127.62 Mn | 34.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.23 Mn |
| Mar 31, 2026 | 30.34 Mn |
| Dec 31, 2025 | 32.40 Mn |
| Sep 30, 2025 | 27.75 Mn |
| Jun 30, 2025 | 21.83 Mn |
| Mar 31, 2025 | 25.40 Mn |
| Dec 31, 2024 | 27.06 Mn |
| Sep 30, 2024 | 20.26 Mn |
| Jun 30, 2024 | 15.82 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 12.99 Mn |
| Sep 30, 2023 | 12.49 Mn |
| Jun 30, 2023 | 13.44 Mn |
| Mar 31, 2023 | 15.51 Mn |
| Dec 31, 2022 | 16.99 Mn |
| Sep 30, 2022 | 16.54 Mn |
| Jun 30, 2022 | 18.35 Mn |
| Mar 31, 2022 | 17.77 Mn |
| Dec 31, 2021 | 17.96 Mn |
| Sep 30, 2021 | 16.01 Mn |
API Access
JFrog Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();