JFrog (FROG) Property, Plant & Equipment (Net) (2019 - 2026)
JFrog (FROG) reported Property, Plant & Equipment (Net) of $8.1 million for Q2 2026, up 41.7% from $5.72 million a year earlier and up 24.6% from the prior quarter.
JFrog (FROG) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, JFrog posted Property, Plant & Equipment (Net) of $5.54 million, down 2.3% from FY2024.
- Property, Plant & Equipment (Net) has declined for three consecutive years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $5.67 million in FY2024 (-14.9%), $6.66 million in FY2023 (-16.9%), $8.02 million in FY2022 (+19.9%) and $6.69 million in FY2021 (+34.8%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Year over year, Property, Plant & Equipment (Net) gained in two of the last eight quarters, with growth averaging 0.1%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q3 2021 (growth of 42.8%); the low point was Q3 2023 (a decline of 18.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.5 million (Q1 2026), $5.54 million (Q4 2025) and $5.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | JFrog | 11.75 Bn | 8.83 Bn | 127.62 Mn | 8.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.10 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 5.54 Mn |
| Sep 30, 2025 | 5.69 Mn |
| Jun 30, 2025 | 5.72 Mn |
| Mar 31, 2025 | 5.54 Mn |
| Dec 31, 2024 | 5.67 Mn |
| Sep 30, 2024 | 6.05 Mn |
| Jun 30, 2024 | 6.53 Mn |
| Mar 31, 2024 | 6.47 Mn |
| Dec 31, 2023 | 6.66 Mn |
| Sep 30, 2023 | 6.58 Mn |
| Jun 30, 2023 | 7.03 Mn |
| Mar 31, 2023 | 7.48 Mn |
| Dec 31, 2022 | 8.02 Mn |
| Sep 30, 2022 | 8.05 Mn |
| Jun 30, 2022 | 7.65 Mn |
| Mar 31, 2022 | 7.38 Mn |
| Dec 31, 2021 | 6.69 Mn |
| Sep 30, 2021 | 6.42 Mn |
JFrog Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();