Realloys (ALOY) EPS (Basic) (2013 - 2026)
Realloys' EPS (Basic) was -$0.59 in Q2 2026, compared with -$0.61 a year earlier.
Analysis
Realloys (ALOY) EPS (Basic) (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' EPS (Basic) was -$2.50 through Jun 30, 2026; for FY2025, it came in at -$1.17.
- In earlier years, EPS (Basic) was -$1.03 in FY2024, -$1.45 in FY2023, -$0.38 in FY2022 and -$0.27 in FY2021.
- Quarterly EPS (Basic) has moved between -$2.15 (Q1 2026) and -$0.05 (Q3 2021) over five years.
- Per Business Quant data, ALOY's EPS (Basic) in the three quarters before Q2 2026 was -$2.15 (Q1 2026), -$0.42 (Q4 2025) and -$0.19 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 0.47 |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 1.58 |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 4.30 |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 2.84 |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 0.27 |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 1.32 |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 47.78 |
| 10 | Realloys | 405.79 Mn | 405.79 Mn | 475,000.00 | -0.59 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.59 |
| Mar 31, 2026 | -2.15 |
| Dec 31, 2025 | -0.42 |
| Sep 30, 2025 | -0.19 |
| Jun 30, 2025 | -0.61 |
| Mar 31, 2025 | -0.49 |
| Dec 31, 2024 | -0.28 |
| Sep 30, 2024 | -0.22 |
| Jun 30, 2024 | -0.27 |
| Mar 31, 2024 | -0.27 |
| Dec 31, 2023 | -0.21 |
| Sep 30, 2023 | -0.21 |
| Jun 30, 2023 | -0.45 |
| Mar 31, 2023 | -0.58 |
| Dec 31, 2022 | -0.09 |
| Sep 30, 2022 | -0.40 |
| Jun 30, 2022 | -0.40 |
| Mar 31, 2022 | -0.09 |
| Dec 31, 2021 | -0.19 |
| Sep 30, 2021 | -0.05 |
API Access
Realloys EPS (Basic) 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-basic&ticker=ALOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "ALOY", "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-basic&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();