Realloys (ALOY) EPS (Diluted) (2020 - 2026)
Realloys' EPS (Diluted) was -$0.59 in Q2 2026, compared with -$0.05 a year earlier.
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Analysis
Realloys (ALOY) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' EPS (Diluted) was -$2.50 through Jun 30, 2026; for FY2025, it was -$0.11.
- In earlier years, EPS (Diluted) was -$0.26 in FY2024, -$0.35 in FY2023, -$0.38 in FY2022 and -$0.27 in FY2021.
- Quarterly EPS (Diluted) has moved between -$2.15 (Q1 2026) and -$0.02 (Q3 2025) over five years.
- Per Business Quant data, ALOY's EPS (Diluted) in the three quarters before Q2 2026 was -$2.15 (Q1 2026), -$0.04 (Q4 2025) and -$0.02 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 0.44 |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 1.56 |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 4.29 |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 2.83 |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 0.27 |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 44.67 |
| 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 | -0.04 |
| Sep 30, 2025 | -0.02 |
| Jun 30, 2025 | -0.05 |
| Mar 31, 2025 | -0.05 |
| Dec 31, 2024 | -0.07 |
| Sep 30, 2024 | -0.06 |
| Jun 30, 2024 | -0.07 |
| Mar 31, 2024 | -0.07 |
| Dec 31, 2023 | -0.05 |
| Sep 30, 2023 | -0.05 |
| Jun 30, 2023 | -0.11 |
| Mar 31, 2023 | -0.14 |
| Dec 31, 2022 | -0.09 |
| Sep 30, 2022 | -0.10 |
| Jun 30, 2022 | -0.10 |
| Mar 31, 2022 | -0.09 |
| Dec 31, 2021 | -0.19 |
| Sep 30, 2021 | -0.05 |
API Access
Realloys 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=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();