NextPlat (NXPL) EPS (Diluted) (2015 - 2026)
NextPlat's EPS (Diluted) came in at -$0.05 for Q2 2026, compared with -$0.69 a year earlier.
Analysis
NextPlat (NXPL) EPS (Diluted) (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NextPlat reported EPS (Diluted) of -$3.63; for FY2025, it came in at -$4.41.
- Going back by year, EPS (Diluted) was -$6.51 in FY2024, -$2.16 in FY2023, -$9.55 in FY2022 and -$6,491 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q3 2023.
- Business Quant data shows NXPL's EPS (Diluted) at -$0.42 (Q1 2026), -$2.41 (Q4 2025) and -$0.84 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.85 |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | -0.04 |
| 10 | NextPlat | 24.12 Mn | -26.36 Mn | 4.69 Mn | -0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.05 |
| Mar 31, 2026 | -0.42 |
| Dec 31, 2025 | -2.41 |
| Sep 30, 2025 | -0.84 |
| Jun 30, 2025 | -0.69 |
| Mar 31, 2025 | -0.75 |
| Dec 31, 2024 | -1.17 |
| Sep 30, 2024 | -2.22 |
| Jun 30, 2024 | -2.82 |
| Mar 31, 2024 | -0.79 |
| Dec 31, 2023 | -0.97 |
| Sep 30, 2023 | 1.70 |
| Jun 30, 2023 | -2.40 |
| Mar 31, 2023 | -0.82 |
| Dec 31, 2022 | -0.98 |
| Sep 30, 2022 | -6.03 |
| Jun 30, 2022 | -1.78 |
| Mar 31, 2022 | -680.61 |
| Dec 31, 2021 | -2,834.73 |
| Sep 30, 2021 | -1,845.92 |
API Access
NextPlat 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=NXPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "NXPL", "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=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();