OpenWorld (OPNW) EPS (Diluted) (2012 - 2026)
OpenWorld's EPS (Diluted) came in at -$0.38 for Q2 2026, compared with -$0.23 a year earlier.
Analysis
OpenWorld (OPNW) EPS (Diluted) (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OpenWorld reported EPS (Diluted) of -$3.91; for FY2025, it came in at -$3.89.
- Going back by year, EPS (Diluted) was -$3.68 in FY2024, -$3.47 in FY2023, -$17.01 in FY2022 and $4.89 in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$15.28 (Q2 2022) to $10.16 (Q3 2021).
- Business Quant data shows OPNW's EPS (Diluted) at -$0.51 (Q1 2026), -$0.54 (Q4 2025) and -$2.65 (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 | Union Pacific | 177.13 Bn | 169.38 Bn | - | 3.49 |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | 0.57 |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | 0.83 |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | 0.71 |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | 3.37 |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | 6.68 |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | 1.15 |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | 1.68 |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | 3.14 |
| 10 | OpenWorld | 2.38 Mn | 2.38 Mn | - | -0.38 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.38 |
| Mar 31, 2026 | -0.51 |
| Dec 31, 2025 | -0.54 |
| Sep 30, 2025 | -2.65 |
| Jun 30, 2025 | -0.23 |
| Mar 31, 2025 | -0.46 |
| Dec 31, 2024 | -0.48 |
| Sep 30, 2024 | -2.29 |
| Jun 30, 2024 | -0.34 |
| Mar 31, 2024 | -0.55 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | -0.94 |
| Jun 30, 2023 | -0.90 |
| Mar 31, 2023 | -1.69 |
| Dec 31, 2022 | 0.13 |
| Sep 30, 2022 | -0.62 |
| Jun 30, 2022 | -15.28 |
| Mar 31, 2022 | -1.94 |
| Dec 31, 2021 | -1.04 |
| Sep 30, 2021 | 10.16 |
API Access
OpenWorld 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=OPNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "OPNW", "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=OPNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();