JFrog (FROG) Capital Expenditures (2019 - 2026)
JFrog (FROG) reported Capital Expenditures of $3.31 million for Q2 2026, up 427.4% from $627,000 a year earlier and up 209.1% from the prior quarter.
JFrog (FROG) Capital Expenditures (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, JFrog's Capital Expenditures came in at $6.56 million, up 130.8% year-over-year; for FY2025, it was $3.46 million, up 10.1% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $3.14 million in FY2024 (+58.6%), $1.98 million in FY2023 (-54.2%), $4.33 million in FY2022 (+2.4%) and $4.23 million in FY2021 (+20.0%).
- The Q2 2026 figure ranks as the highest quarterly Capital Expenditures in data going back to Q4 2019.
- Year over year, Capital Expenditures has now increased in each of the last four quarters, with growth averaging 74.1% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q2 2026 (growth of 427.4%); the low point was Q1 2023 (a decline of 76.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.07 million (Q1 2026), $840,000 (Q4 2025) and $1.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 21.05 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -1.68 Bn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | 3.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.31 Mn |
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 840,000.00 |
| Sep 30, 2025 | 1.35 Mn |
| Jun 30, 2025 | 627,000.00 |
| Mar 31, 2025 | 647,000.00 |
| Dec 31, 2024 | 634,000.00 |
| Sep 30, 2024 | 936,000.00 |
| Jun 30, 2024 | 732,000.00 |
| Mar 31, 2024 | 841,000.00 |
| Dec 31, 2023 | 618,000.00 |
| Sep 30, 2023 | 591,000.00 |
| Jun 30, 2023 | 507,000.00 |
| Mar 31, 2023 | 266,000.00 |
| Dec 31, 2022 | 891,000.00 |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 988,000.00 |
| Mar 31, 2022 | 1.14 Mn |
| Dec 31, 2021 | 1.04 Mn |
| Sep 30, 2021 | 916,000.00 |
JFrog Capital Expenditures 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=capital-expenditures&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();