JFrog (FROG) Cash & Current Investments (2019 - 2026)
JFrog (FROG) reported Cash & Current Investments of $824.49 million for Q2 2026, up 34.8% from $611.7 million a year earlier and up 11.2% from the prior quarter.
JFrog (FROG) Cash & Current Investments (2019 - 2026) Analysis & Trends
At the end of FY2025, JFrog posted Cash & Current Investments of $704.41 million, up 34.9% from FY2024.
- Cash & Current Investments has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Cash & Current Investments came in at $522.01 million in FY2024 (-4.2%), $545.01 million in FY2023 (+23.0%), $443.2 million in FY2022 (+5.2%) and $421.13 million in FY2021 (-29.6%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Current Investments in data going back to Q4 2019.
- Year over year, Cash & Current Investments has now increased in each of the last five quarters, with growth averaging 16.3% over the last eight quarters.
- The high point for year-over-year Cash & Current Investments in five years was Q3 2025 (growth of 39.2%); the low point was Q3 2021 (a decline of 30.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $741.24 million (Q1 2026), $704.41 million (Q4 2025) and $651.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Current Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 3.07 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 4.07 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 2.34 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 4.99 Bn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 2.30 Bn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 673.41 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 3.47 Bn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 2.41 Bn |
| 10 | JFrog | 11.75 Bn | 8.83 Bn | 127.62 Mn | 824.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 824.49 Mn |
| Mar 31, 2026 | 741.24 Mn |
| Dec 31, 2025 | 704.41 Mn |
| Sep 30, 2025 | 651.06 Mn |
| Jun 30, 2025 | 611.70 Mn |
| Mar 31, 2025 | 563.51 Mn |
| Dec 31, 2024 | 522.01 Mn |
| Sep 30, 2024 | 467.79 Mn |
| Jun 30, 2024 | 591.32 Mn |
| Mar 31, 2024 | 579.61 Mn |
| Dec 31, 2023 | 545.01 Mn |
| Sep 30, 2023 | 502.18 Mn |
| Jun 30, 2023 | 469.79 Mn |
| Mar 31, 2023 | 447.16 Mn |
| Dec 31, 2022 | 443.20 Mn |
| Sep 30, 2022 | 434.00 Mn |
| Jun 30, 2022 | 430.15 Mn |
| Mar 31, 2022 | 427.65 Mn |
| Dec 31, 2021 | 421.13 Mn |
| Sep 30, 2021 | 402.38 Mn |
JFrog Cash & Current Investments 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=cash-and-current-investments&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-current-investments", "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=cash-and-current-investments&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();