Palomino Laboratories (PALX) EPS (Diluted) (2023 - 2025)
Palomino Laboratories' EPS (Diluted) came in at -$0.54 for Q3 2025, compared with $0.00 a year earlier.
Analysis
Palomino Laboratories (PALX) EPS (Diluted) (2023 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Palomino Laboratories reported EPS (Diluted) of -$0.76; for FY2024, it was -$0.03.
- Going back by year, EPS (Diluted) was -$0.02 in FY2023 and -$0.01 in FY2022.
- The Q3 2025 figure represents the lowest quarterly EPS (Diluted) in data going back to Q3 2023.
- Business Quant data shows PALX's EPS (Diluted) at $0.08 (Q2 2025), -$0.20 (Q1 2025) and -$0.03 (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 24.67 |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 3.17 |
| 10 | Palomino Laboratories | 114.76 Mn | 98.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -0.54 |
| Jun 30, 2025 | 0.08 |
| Mar 31, 2025 | -0.20 |
| Dec 31, 2024 | -0.03 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | -0.01 |
API Access
Palomino Laboratories 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=PALX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "PALX", "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=PALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();