JFrog (FROG) EPS (Diluted) (2020 - 2026)
JFrog (FROG) reported EPS (Diluted) of -$0.03 for Q2 2026, compared with -$0.19 a year earlier.
Analysis
JFrog (FROG) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, JFrog's EPS (Diluted) came in at -$0.36; for FY2025, it came in at -$0.62.
- By year, EPS (Diluted) came in at -$0.63 in FY2024, -$0.59 in FY2023, -$0.91 in FY2022 and -$0.68 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to Q3 2020.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.07 (Q1 2026), -$0.13 (Q4 2025) and -$0.14 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.82 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.12 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.36 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.65 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 7.94 |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | -0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.03 |
| Mar 31, 2026 | -0.07 |
| Dec 31, 2025 | -0.13 |
| Sep 30, 2025 | -0.14 |
| Jun 30, 2025 | -0.19 |
| Mar 31, 2025 | -0.16 |
| Dec 31, 2024 | -0.21 |
| Sep 30, 2024 | -0.21 |
| Jun 30, 2024 | -0.13 |
| Mar 31, 2024 | -0.08 |
| Dec 31, 2023 | -0.11 |
| Sep 30, 2023 | -0.13 |
| Jun 30, 2023 | -0.15 |
| Mar 31, 2023 | -0.21 |
| Dec 31, 2022 | -0.23 |
| Sep 30, 2022 | -0.24 |
| Jun 30, 2022 | -0.24 |
| Mar 31, 2022 | -0.20 |
| Dec 31, 2021 | -0.24 |
| Sep 30, 2021 | -0.21 |
API Access
JFrog EPS (Diluted) 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=eps-diluted&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();